CN115577332A - User identification method, device, electronic equipment and storage medium - Google Patents

Abstract

The application discloses a user identification method, a user identification device, electronic equipment and a storage medium. The method comprises the following steps: acquiring first information acquired by an acquisition unit of electronic equipment; the first information at least comprises relative position relations among a plurality of first contact points; the contact point is generated by the contact of fingers and the acquisition unit when a user holds the electronic equipment; matching the first information with second information in a first database to obtain a first matching result; the first database comprises a plurality of user identifications and second information corresponding to each user identification; each second information at least contains the relative position relationship among a plurality of second contact points; and identifying a user currently holding the electronic equipment based on the first matching result.

Description

User identification method, device, electronic device and storage medium

technical field

The present application relates to the field of computer technology, in particular to a user identification method, device, electronic equipment and storage medium.

Background technique

With the continuous advancement of communication, computer software and hardware technologies, technologies such as the Internet of Things, the Internet of Everything, and the Intelligence of Everything have developed rapidly, and have gradually entered the society in the form of products and services, becoming an important part of work, life, and study. Among them, smart terminal devices first emerged from handheld terminal devices such as mobile phones and tablet computers, and gradually developed into large-scale terminal devices and systemized terminals such as TVs, smart speakers, and smart homes. One of the important values of smart terminal devices is the intelligence of their software support. In addition to optional and customizable software functions, smart terminal devices have more intelligent support technologies such as neural networks and machine learning, which can target users. Use habits, user multi-dimensional portraits and other data for precise learning, so that the product understands users better and is smarter.

According to different application scenarios, smart terminal devices (referred to as terminals in subsequent descriptions) may include single user terminals (such as mobile phones, tablet computers, etc.) smart speakers, etc.). When the user portrait software technology is applied to a single user terminal, since the probability of a single user terminal being used by other users is extremely low, almost all behaviors that occur on the terminal can be considered as the behavior of the target user. Therefore, user behavior collection and User profile parameter setting can be realized entirely based on the data collected by the terminal itself. For example, through the shopping behavior analysis of shopping software, it is possible to infer the type of film and television drama that the target user may like.

However, when the software technology of user profiling needs to be applied to multi-user terminals, since the multi-user terminals are shared by multiple users, the data collected by the terminal itself cannot distinguish the behaviors of each user, so that it is impossible to distinguish the behaviors of each user. Build user personas.

Contents of the invention

In order to solve related technical problems, embodiments of the present application provide a user identification method, device, electronic equipment, and storage medium.

The technical scheme of the embodiment of the application is realized in this way:

An embodiment of the present application provides a user identification method, including:

Obtain the first information collected by the collection unit of the electronic device; the first information includes at least the relative positional relationship between a plurality of first contact points; the contact point is the contact between the user's finger and the resulting from exposure to the collection unit;

Matching the first information with the second information in the first database to obtain a first matching result; the first database includes a plurality of user IDs and the second information corresponding to each user ID; each second The second information includes at least the relative positional relationship between multiple second contact points;

A user currently holding the electronic device is identified based on the first matching result.

In the above solution, the first information includes a plurality of first vectors; the plurality of first vectors are used to represent the relative positional relationship between the plurality of first contact points; each second information includes a plurality of first Two vectors; the multiple second vectors are used to represent the relative positional relationship between the multiple second contact points; the matching the first information with the second information in the first database includes:

matching at least one first vector with multiple second vectors contained in each second information to obtain a second matching result;

In the case where the second matching result indicates that there is a target second information in the first database, the second matching result is determined as the first matching result; the plurality of target second information contained The second vector can match at least one first vector.

In the above solution, the first information also includes the relative strength relationship between the forces corresponding to the first contact points; each second information also includes the relative strength between the forces corresponding to the second contact points Relationship; the matching of the first information with the second information in the first database further includes:

In the case where the second matching result indicates that there are at least two target second information in the first database, the relative strength relationship between the forces corresponding to the first contact points is compared with the first contact point of each target. matching the relative strengths of the forces corresponding to the second contact points included in the second information to obtain a third matching result; and determining the first matching result according to the third matching result.

In the above solution, the starting points of the plurality of first vectors are the same; the starting points of the plurality of second vectors contained in each second information are the same; the at least one first vector and the plurality of first vectors contained in each second information Two vectors are matched, including:

For each second information, judging whether the number of equal vectors existing between the first information and the corresponding second information is greater than or equal to a first threshold, and obtaining a first judging result;

If the first judgment result indicates that the number of equal vectors existing between the first information and corresponding second information is greater than or equal to a first threshold, determining the corresponding second information as the target second information .

In the above solution, the multiple first vectors can be divided into multiple first vector groups according to the starting point; the starting points of the first vectors contained in the first vector group are the same; the multiple second vectors contained in each second information The vector can be divided into multiple second vector groups according to the starting point; the starting point of each second vector contained in the second vector group is the same; the at least one first vector and the multiple second vectors contained in each second information to match, including:

For each second information, judge whether the number of equal vectors existing between the first information and the corresponding second information is greater than or equal to a second threshold, and obtain a second judgment result;

When the second judgment result indicates that the number of equal vectors existing between the first information and corresponding second information is greater than or equal to a second threshold, determining the corresponding second information as the target second information .

In the above solution, the first information includes a plurality of first intensity values; the plurality of first intensity values are used to represent the relative strength relationship between the forces corresponding to the first contact points; each second information Contains a plurality of second intensity values; the plurality of second intensity values are used to represent the relative strength relationship between the forces corresponding to the second contact points included in the corresponding second information; The relative strength relationship between the forces corresponding to the contact points is matched with the relative strength relationship between the forces corresponding to the second contact points included in the second information of each target, including:

matching at least one first intensity value with a plurality of second intensity values contained in each target second information;

In the case where the third matching result indicates that one of the at least two target second information contains a plurality of second intensity values that can match at least one first intensity value, the third The matching result is determined as the first matching result.

In the above scheme, the method also includes:

Sending the user identification corresponding to the user currently holding the electronic device to the target device for the target device to identify the user.

The embodiment of the present application also provides a user identification device, including:

The acquisition unit is configured to acquire the first information collected by the acquisition unit of the electronic device; the first information includes at least the relative positional relationship between a plurality of first contact points; the contact point is the user holding the electronic device When the finger is in contact with the collection unit;

The first processing unit is configured to match the first information with the second information in the first database to obtain a first matching result; the first database includes a plurality of user IDs and a corresponding user ID second information; each second information at least includes a relative positional relationship between a plurality of second contact points;

The second processing unit is configured to identify the user currently holding the electronic device based on the first matching result.

The embodiment of the present application also provides an electronic device, including: a processor and a memory for storing a computer program that can run on the processor,

Wherein, when the processor is configured to run the computer program, it executes the steps of any one of the above methods.

The embodiment of the present application also provides a storage medium on which a computer program is stored, and when the computer program is executed by a processor, the steps of any one of the above methods are implemented.

The user identification method, device, electronic equipment, and storage medium provided in the embodiments of the present application acquire the first information collected by the collection unit of the electronic equipment; the first information includes at least the relative positional relationship between multiple first contact points ; The contact point is generated when the user's finger touches the acquisition unit when holding the electronic device; matching the first information with the second information in the first database to obtain a first matching result; The first database includes a plurality of user identifiers and second information corresponding to each user identifier; each second information includes at least a relative positional relationship between a plurality of second contact points; based on the first matching result , to identify the user currently holding the electronic device. In the solution of the embodiment of the present application, at least based on the relative positional relationship between the contact points between the user's finger and the collection unit collected by the collection unit when the user is holding the electronic device, identify the user who is currently holding the electronic device. In this way, the multi-user terminal can identify the current target user, so as to collect user behavior and build a user portrait for the target user, and then enable the multi-user terminal to provide accurate personalized services for each user and improve user experience.

Description of drawings

FIG. 1 is a schematic flow diagram of a user identification method in an embodiment of the present application;

Fig. 2 is a three-dimensional schematic diagram of a remote control device in an application embodiment of the present application;

FIG. 3 is a schematic front view of the remote control device of the application embodiment of the present application;

4 is a three-dimensional schematic diagram of the distribution of contact points in an application embodiment of the present application;

Fig. 5 is a lateral schematic diagram of the distribution of contact points in an application embodiment of the present application;

FIG. 6 is a schematic diagram of a group of contact point vectors in an application embodiment of the present application;

FIG. 7 is a schematic diagram of another set of contact point vectors in the application embodiment of the present application;

FIG. 8 is a schematic diagram of contact point vectors of different users in the application embodiment of the present application;

FIG. 9 is a schematic flow diagram of multi-user identification in an application embodiment of the present application;

Fig. 10 is a schematic diagram of coordinate acquisition of the finger holding position of the application embodiment of the present application;

Fig. 11 is a schematic diagram of vector extraction and comparison in the application embodiment of the present application;

FIG. 12 is a schematic structural diagram of a user identification device according to an embodiment of the present application;

FIG. 13 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

detailed description

The application will be further described in detail below in conjunction with the accompanying drawings and embodiments.

In practical applications, in order to improve user experience, it is necessary to consider enabling the multi-user terminal to provide accurate personalized services for each user. For example, for a TV with a smart operating system, in a family where old people, young people and children live together, due to age differences, there is a high probability that they will be interested in completely different film and television objects. Portraits recommend content, and if the content happens to be watched by the elderly or children, the user experience will be extremely poor; therefore, it is necessary to consider enabling the TV to provide different users with intelligent film and television recommendation services, and to improve the accuracy of intelligent recommendation.

Based on this, in various embodiments of the present application, at least based on the relative positional relationship between the contact points between the user's fingers and the collection unit collected by the collection unit when the user holds the electronic device, the current holding The user of the electronic device; in this way, the multi-user terminal can identify the current target user, so that user behavior can be collected for the target user and a user portrait can be constructed, so that the multi-user terminal can provide each user with accurate personalized services to improve user experience.

The embodiment of the present application provides a user identification method applied to electronic equipment, as shown in Figure 1, the method includes:

Step 101: Obtain the first information collected by the collection unit of the electronic device;

Here, the first information at least includes a relative positional relationship between a plurality of first contact points; the contact points are generated by the user's fingers touching the collection unit when holding the electronic device;

Step 102: matching the first information with the second information in the first database to obtain a first matching result;

Here, the first database includes a plurality of user identifiers and second information corresponding to each user identifier; each second information includes at least a relative positional relationship between a plurality of second contact points;

Step 103: Based on the first matching result, identify the user currently holding the electronic device.

Here, it should be noted that, in actual application, the electronic device may be a multi-user terminal, such as a TV, a smart speaker, and the like. Alternatively, the electronic device may also be a device capable of wired or wireless communication with a multi-user terminal, such as a remote control device (also called a remote control) of a television, a mobile phone, and the like.

In step 101, in actual application, the acquisition unit may include a capacitive touch film, a resistive touch film, or the like, that is, the acquisition unit may collect the first information through a touch film technology. Alternatively, the collection unit may also include pressure-sensitive, infrared reflective and other types of sensors distributed in an array or arranged at a certain density along a length direction, and collect the first information through the sensors. The specific structure of the collection unit and the specific manner of collecting the first information may be set according to requirements, which are not limited in this embodiment of the present application.

In practical application, the position of the acquisition unit in the electronic device can be set according to requirements. Exemplarily, when the electronic device is a remote control, in order to accurately collect contact point information when the user naturally holds the remote control, the collection units may be arranged on both sides of the remote control.

In step 102, in actual application, the second information in the first database may be pre-collected by the collection unit. The user identifier included in the first database may represent the user object (ie, the user object oriented) that the multi-user terminal needs to identify, for example, the user object that needs to build a user portrait.

In practical applications, the relative positional relationship between contact points can be represented by vectors.

Based on this, in an embodiment, the first information may include multiple first vectors; the multiple first vectors are used to represent the relative positional relationship between the multiple first contact points; each The second information may include multiple second vectors; the multiple second vectors are used to represent the relative positional relationship between the multiple second contact points;

Correspondingly, the matching the first information with the second information in the first database may include:

matching at least one first vector with multiple second vectors contained in each second information to obtain a second matching result;

In the case where the second matching result indicates that there is a target second information in the first database, the second matching result is determined as the first matching result; the plurality of target second information contained The second vector can match at least one first vector.

In practical applications, when the second matching result indicates that there is a target second information in the first database, the determining the second matching result as the first matching result can be understood as: The user identifier corresponding to the second target information can represent the user currently holding the electronic device. Of course, when the second matching result indicates that there is no target second information in the first database, the second matching result can also be directly determined as the first matching result, that is, the current holding The user of the electronic device is not a user object to be identified by the multi-user terminal, and subsequent processing may not be performed.

In practical applications, the starting points of the multiple first vectors may be the same or different, and correspondingly, the starting points of the multiple second vectors included in each second information may also be the same or different.

Specifically, in order to increase the speed of identifying users and reduce the memory occupied by the first database, two first contact points can determine a first vector, and the starting points of the multiple first vectors can be the same, the The starting point of the plurality of first vectors may be any first contact point, such as the most edge contact point detected by the acquisition unit. Correspondingly, two second contact points can determine a second vector, and the starting points of multiple second vectors included in each second information can also be the same, and the starting points of the multiple second vectors can be the corresponding second information Any second contact point included is, for example, the most marginal contact point detected when the collection unit collects the corresponding second information. Exemplarily, when the first information includes relative positional relationships between N first contact points (N is an integer greater than 1), the first information may specifically include N-1 first vectors.

Of course, in order to improve the accuracy of identifying the user, when the collection unit collects the first information, it can determine a set of vectors starting from each first contact point, in other words, the multiple first vectors It can be divided into multiple first vector groups according to the starting point, and the starting points of the first vectors included in the first vector group are the same. Correspondingly, the multiple second vectors included in each second information may be divided into multiple second vector groups according to starting points, and the starting points of the second vectors included in the second vector group are the same. Exemplarily, when the first information includes relative positional relationships between N first contact points, the first information may specifically include N first vector groups, and each first vector group may include N-1 the first vector.

In practical applications, at least one first vector can be matched with multiple second vectors contained in each second information in the following two ways to obtain the second matching result.

Way 1: In order to improve the accuracy of identifying the user, each first vector in the plurality of first vectors can be matched with each second vector contained in each second information to obtain the second matching result. Here, the matching can be understood as comparing the first vector with the second vector, in other words, judging whether the first vector and the second vector are equal. In a case where the number of equal vectors existing between the first information and corresponding second information is greater than or equal to a preset threshold, the corresponding second information may be determined as the target second information.

Based on this, in an embodiment, when the start points of the multiple first vectors are the same, and the start points of the multiple second vectors contained in each second information are the same, the combination of at least one first vector and Matching multiple second vectors contained in each second information may include:

For each second information, judging whether the number of equal vectors existing between the first information and the corresponding second information is greater than or equal to a first threshold, and obtaining a first judging result;

If the first judgment result indicates that the number of equal vectors existing between the first information and corresponding second information is greater than or equal to a first threshold, determining the corresponding second information as the target second information , that is, it is determined that the multiple second vectors included in the corresponding second information can match the multiple first vectors.

In practical applications, the first threshold can be set according to requirements.

In another embodiment, the multiple first vectors can be divided into multiple first vector groups according to the starting point, the starting point of each first vector contained in the first vector group is the same, and each second information contains A plurality of second vectors can be divided into a plurality of second vector groups according to the starting point, and when the starting points of the second vectors contained in the second vector group are the same, the at least one first vector and each Multiple second vectors contained in the second information are matched, which may include:

For each second information, judge whether the number of equal vectors existing between the first information and the corresponding second information is greater than or equal to a second threshold, and obtain a second judgment result;

When the second judgment result indicates that the number of equal vectors existing between the first information and corresponding second information is greater than or equal to a second threshold, determining the corresponding second information as the target second information , that is, it is determined that the multiple second vectors included in the corresponding second information can match the multiple first vectors.

In practical applications, the second threshold can also be set according to requirements. Since both the first information and the second information include multiple vector groups, the second threshold may be greater than or equal to the first threshold.

Method 2: In order to increase the speed of identifying the user, a first vector may be randomly selected from the plurality of first vectors to match each second vector included in each second information, that is, a randomly selected first vector A vector is compared with each second vector contained in each second information, and in the case that the corresponding second information contains a second vector equal to the randomly selected first vector, the corresponding second information is determined as Candidate target second information.

Here, after comparing a randomly extracted first vector with each second vector contained in each second information, if there is no candidate target second information, or only one candidate target second information, it is not necessary to Then compare other first vectors (that is, other first vectors except the randomly selected first vector) with each second vector included in each second information, and directly obtain the second matching result. Specifically, if there is no candidate target second information, the second matching result indicates that there is no target second information in the first database, and correspondingly, the first matching result indicates that the electronic device is currently held If the user is not a user object that needs to be identified by the multi-user terminal, subsequent processing may not be performed. When there is only one candidate target second information, the candidate target second information can be directly determined as the official target second information (it can be understood as obtaining the second matching result, and the second matching result represents the There is a target second information in the first database), that is, it is determined that the plurality of second vectors contained in the candidate target second information can match a first vector (ie, the randomly extracted first vector), so that The first matching result can be obtained, that is, the user identifier corresponding to the candidate target second information can represent the user currently holding the electronic device.

Of course, after comparing a randomly extracted first vector with each second vector contained in each second information, if there are at least two candidate target second information, it is necessary to increase the The number of first vectors to be compared with each second vector until only one candidate target second information can be determined, or until each first vector is compared with each second vector contained in each second information complete. If after comparing each first vector with each second vector contained in each second information, there are still at least two candidate target second information, the at least two candidate target second information can also be directly The information is determined as at least two formal target second information (it can be understood as obtaining the second matching result, and the second matching result indicates that there are at least two target second information in the first database), that is, determining the The plurality of second vectors included in each candidate target second information of the at least two candidate target second information can match the plurality of first vectors.

In actual application, although the multi-user terminal faces multiple user objects, the specific number of user objects is usually small. For example, for a TV with a smart operating system in a family, the number of family members is basically within 10, usually 3 to 5. Therefore, the second matching result is obtained through the second method above. On the one hand, the implementation method is simple, and the user who is currently holding the electronic device can be quickly and accurately determined; on the other hand, the electronic device can be effectively saved. computing and storage resources.

In practical applications, in the case where the second matching result indicates that there are at least two target second information in the first database, in order to identify a unique user, it may be combined with the force between the corresponding contact points Relative to the strength relationship, continue to match the first information with the second information in the first database.

Based on this, in an embodiment, the first information may also include the relative strength relationship between the forces corresponding to each first contact point; each second information may also include the action force corresponding to each second contact point. the relative strength of the forces;

Correspondingly, the matching the first information with the second information in the first database may further include:

In the case where the second matching result indicates that there are at least two target second information in the first database, the relative strength relationship between the forces corresponding to the first contact points is compared with the first contact point of each target. matching the relative strengths of the forces corresponding to the second contact points included in the second information to obtain a third matching result; and determining the first matching result according to the third matching result.

In practical applications, the relative strength relationship between the forces corresponding to each contact point can be expressed by the force intensity value corresponding to each contact point.

Specifically, the first information may include a first intensity value corresponding to each first contact point, and each first intensity value may represent the force corresponding to the corresponding first contact point and the force corresponding to the target first contact point The relative strength relationship among the first contact points, the force corresponding to the target first contact point is the weakest or the strongest among the plurality of first contact points. Correspondingly, each piece of second information may include a corresponding second intensity value corresponding to each second contact point, and each second intensity value may represent the force corresponding to the corresponding second contact point and the force corresponding to the target second contact point. The relative strength relationship between the action forces, the action force corresponding to the target second contact point is the weakest or the strongest among the corresponding plurality of second contact points. Exemplarily, the first information includes the relative positional relationship between the four first contact points, and when the force corresponding to the target first contact point is the weakest among the four first contact points, the The first information also includes 4 first intensity values, and the first intensity value corresponding to the first contact point of the target may be 0, and the first intensity values corresponding to the other 3 first contact points may be greater than 0, An integer or fraction that can represent the difference between the force corresponding to the corresponding first contact point and the force corresponding to the target first contact point.

Based on this, in an embodiment, the first information includes a plurality of first intensity values, and the plurality of first intensity values are used to represent the relative strength relationship between the forces corresponding to the first contact points , each second information contains a plurality of second intensity values, and the plurality of second intensity values are used to represent the relative strength relationship between the forces corresponding to the second contact points included in the corresponding second information , matching the relative strength relationship between the force corresponding to each first contact point with the relative strength relationship between the force corresponding to each second contact point contained in each target second information, Can include:

matching at least one first intensity value with a plurality of second intensity values contained in each target second information;

Correspondingly, the determining the first matching result according to the third matching result may include:

In the case where the third matching result indicates that one of the at least two target second information contains a plurality of second intensity values that can match at least one first intensity value, the third The matching result is determined as the first matching result.

In practical applications, when the third matching result indicates that there is one target second information in the at least two target second information that includes multiple second intensity values that can match at least one first intensity value, the The above-mentioned determination of the third matching result as the first matching result can be understood as: the user identification corresponding to the target second information that includes a plurality of second strength values that can match at least one first strength value can represent A user currently holding the electronic device. Of course, in the case where the third matching result indicates that there is no target second information in the at least two target second information that contains a plurality of second intensity values that can match at least one first intensity value, it may also be directly determining the third matching result as the first matching result, that is, determining that the user currently holding the electronic device is not a user object that needs to be identified by the multi-user terminal, and subsequent processing may not be performed; or, in step 103 Determining a target second information from the first matching result based on a preset selection strategy, and using a user identifier corresponding to the target second information to represent a user currently holding the electronic device. Here, the selection strategy may be set according to requirements, which is not limited in this embodiment of the present application.

In practical application, the matching can be understood as comparing the first intensity value with the second intensity value, in other words, judging whether the first intensity value and the second intensity value are equal. In practical application, each first intensity value may be compared with each second intensity value included in each target second information, and for each target second information, determine the corresponding target second information and the first information The number of equal strength values that exist between the first information and the number of equal strength values that exist between one target second information and the first information is the largest among the at least two target second information , it can be determined that the multiple second intensity values included in the target second information can match the multiple first intensity values, that is, it is determined that the third matching result indicates that there is one target in the at least two target second information The plurality of second intensity values included in the second information can match the plurality of first intensity values.

Of course, it is also possible to randomly select a first intensity value from the plurality of first intensity values and compare it with each second intensity value contained in each target second information. If there is only one target second information that contains the same If the randomly drawn first strength value is equal to the second strength value, then it can be determined that the plurality of second strength values contained in the target second information can be compared with one first strength value (that is, the randomly drawn first strength value ) matching; at this time, there is no need to carry out other first intensity values (that is, other first intensity values except a randomly selected first intensity value) and each second intensity value contained in each target second information. In contrast, the third matching result is directly obtained, and it can be determined that the third matching result indicates that there is one target second information in the at least two target second information. An intensity value matches. If there is no target second information containing a second intensity value equal to the randomly selected first intensity value, it is also unnecessary to carry out other first intensity values and each second intensity contained in each target second information. The comparison of the values directly obtains the third matching result, and it can be determined that the third matching result indicates that there are no multiple second intensity values included in the at least two target second information that can be compared with at least one first intensity The target second message whose value matches. If there are at least two target second information that contain a second intensity value that is equal to the randomly selected first intensity value, it is necessary to increase the second information that is compared with each second intensity value contained in each target second information. a number of intensity values, until it can be determined that the third matching result indicates that there is one target in the at least two target second information, and the multiple second intensity values contained in the second information can match at least one first intensity value , or until the comparison between each first intensity value and each second intensity value contained in each target second information is completed.

Of course, other conditions may also be used to determine whether multiple second intensity values contained in a target second information can match at least one first intensity value, which is not limited in this embodiment of the present application.

In practical applications, when the electronic device is capable of wired or wireless communication with a multi-user terminal, after identifying the user who is currently holding the electronic device, the electronic device needs to report to the multi-user terminal Sending the user ID corresponding to the user currently holding the electronic device for the multi-user terminal to identify the user and perform subsequent operations, such as collecting user behavior, constructing a user portrait, and the like.

Based on this, in an embodiment, the method may further include:

Sending the user identification corresponding to the user currently holding the electronic device to the target device for the target device to identify the user.

Here, the target device is a multi-user terminal; after the multi-user terminal identifies the user who is currently holding the electronic device based on the received user identification, that is, after identifying the user object it is currently facing, it can execute the collection of user information. Behavior, user profile building, information recommendation and other operations, the specific operations performed by the target device can be set according to requirements, which is not limited in this embodiment of the present application.

The user identification method provided in the embodiment of the present application obtains the first information collected by the collection unit of the electronic device; the first information includes at least the relative positional relationship between a plurality of first contact points; the contact point is the user When the electronic device is held by the finger in contact with the collection unit; the first information is matched with the second information in the first database to obtain a first matching result; the first database contains a plurality of User identification and second information corresponding to each user identification; each second information at least includes the relative positional relationship between multiple second contact points; based on the first matching result, identify the the user of the device. In the solution of the embodiment of the present application, at least based on the relative positional relationship between the contact points between the user's finger and the collection unit collected by the collection unit when the user is holding the electronic device, identify the user who is currently holding the electronic device. In this way, the multi-user terminal can identify the current target user, so as to collect user behavior and build a user portrait for the target user, and then enable the multi-user terminal to provide accurate personalized services for each user and improve user experience.

The present application will be further described in detail below in conjunction with application examples.

In this application embodiment, the electronic device is a remote control device for controlling a multi-user terminal; the user is called a user.

In this application embodiment, as shown in Figure 2 and Figure 3, the remote control device includes: a main body 201 and a sensing unit 202 (ie, the above-mentioned collection unit), and the sensing unit 202 is arranged on both sides of the main body 201; wherein, the user normally In the state of holding the remote control device, the sensing unit 202 is in contact with the user's finger, and can detect the contact positions with different fingers, that is, detect the contact points corresponding to different fingers.

In actual application, the sensing unit 202 may specifically include a capacitive multi-touch unit arranged along the side of the main body 201, and the capacitive multi-touch unit may include a capacitive touch sensing film and a multi-point signal identification processing module; the multi-point The signal identification processing module can identify the signals acting on the capacitive touch sensitive film when the fingers hold the remote control device separately. Specifically, the information identified and stored by the multi-point signal identification processing module (namely the above-mentioned first information) may include the following content: the number of contact points, the position of each contact point, and the signal strength of each contact point. The remote control device may also include a signal storage unit (i.e. the above-mentioned first database) and a signal processing unit; the signal storage unit includes a user vector unit, which is used to store the user vector of each user object facing the multi-user terminal; the user The vector includes a group of parameter combinations (that is, the above-mentioned second information) collected by the remote control device once, and the parameters include the number of contact points, the position of each contact point, and the signal strength of each contact point; the signal processing unit It is used for processing the signal collected by the sensing unit 202 .

Exemplarily, as shown in FIG. 4 and FIG. 5 , after the sensing unit 202 collects the relevant information of the contact points O ₁ to O ₄ , in order to save computing resources and storage resources, the absolute data of the contact points O ₁ to O ₄ may not be stored. Instead, store the relative positional relationship of the contact points O ₁ to O ₄ . Specifically, the relative positional relationship of the contact points O ₁ to O ₄ can be stored in the following two ways:

Method 1: Based on any one of the contact points O ₁ to O ₄ (that is, the starting point), store the position vectors of other contact points relative to the contact point, that is, store a group of 3 vectors; for example, as shown in Figure 6 The vectors F ₁₂ , F ₁₃ and F ₁₄ based on the contact point O ₁ shown in FIG. 7 , or the vectors F ₂₁ , F ₂₃ and F ₂₄ based on the contact point O ₂ shown in FIG. 7 .

Method 2: In order to increase the fault tolerance and improve the accuracy of user identification, 4 groups of 12 (4×3=12) vectors are stored based on each of the contact points O ₁ to O ₄ .

In this application embodiment, the remote control device detects in real time the relative position of each contact point generated by the user holding the remote control device, which can better solve the problem of each contact point caused by the user holding the remote control device multiple times. The problem of recognition accuracy caused by different holding positions. At the same time, in the recognition mode, the conditions for passing recognition can be set to improve the success rate of recognition. Exemplarily, when the relative position between each contact point is stored through method 1, if there are 6 contact points and the vector relationship between each contact point in the stored user vector (that is, the relative positional relationship), the recognition condition can be set as The detection of 3-5 (ie, the first threshold may be 3-5) contact points including the basic location point (ie, the starting point of the vector) and the relative positional relationship between the contact points can be considered as successful user matching. When storing the relative position between each contact point in method 2, if there are 6 contact points and the vector relationship between each contact point (that is, the relative position relationship) in the stored user vector, the recognition condition can be set to not include the basic position Point (that is, the starting point of the vector), but the detection of any 3 contact points or 3-5 contact points can be considered as successful user matching. Wherein, the module for identifying the combination of algorithms passed and the adjustment of its condition parameters can be specifically realized by the user matching module of the remote control device. The user matching module is used to control the sensing unit 202 to collect current user parameters (that is, the above-mentioned first information), compare the collected data with the stored user vector (that is, the above-mentioned second information), and output the comparison based on the identification condition The result (including the identification number (ID) of the user whose specific match is successful, that is, the above-mentioned user ID).

In actual application, the identification condition can also be set as follows: 2 to 3 contact points are prioritized for matching (that is, 1 to 2 vectors are prioritized for matching), and if the matching result exceeds 1 user (for example, 2 users are matched ID, the stored vectors corresponding to each user ID contain 1 to 2 matching vectors), you can increase the number of matching touch points one by one (that is, increase the number of matching vectors) until the matching is successful (that is, the matching result is only contains 1 user). If all the detected touchpoints are added for matching, and the number of users who are successfully matched is still more than one, it is necessary to consider combining the signal strength of one or more touchpoints for matching until the user is successfully matched.

In actual application, under normal circumstances, the users (ie, users) of multi-user-oriented terminals such as televisions are extremely limited, basically within 10 people, usually 3 to 5 people. In order to be able to realize user portrait presentation and behavior collection for different users, such a multi-user terminal needs to have the ability to distinguish the current user (ie, the current user). In this application example, the multi-user terminal realizes the identification of the current user through the remote control device. Due to the special scene, it is basically only necessary to realize the resolution capability within 10 users; specifically, through the remote control device The sensing unit 202 realized by the gripping point detection technology is provided, and the user identification is realized by analyzing the signal vector of the gripping point (that is, the contact point) detected by the sensing unit 202 . Exemplarily, in a family scene containing two old people, two young people and one child, the hand shape characteristics of different users (such as the length of each finger joint, the thickness of the fingers, and the relative positions of the fingers in a natural grip, etc.) ) are obviously different, that is, when different people hold the remote control device, the contact position between the hand and the remote control device (that is, the relative relationship between the positions of each contact point) will basically be different, as shown in Figure 8. User A and user B. Therefore, the positions of the contact points detected by the sensing unit 202 and the magnitudes of the forces of the corresponding contact points (that is, the signal strengths of the corresponding contact points) are also different. The remote control device detects the user's grip signal in real time, and compares the signal (that is, the above-mentioned first information) with the stored user vector (that is, the above-mentioned second information), so as to realize the identification and distinction of the user, and can Effectively save computing resources and storage resources.

In actual application, the sensing unit 202 can also be realized by resistive touch film technology, or the sensing unit 202 can also include pressure-sensitive sensors arranged in an array or at a certain density in the length direction of the side of the main body 201, infrared reflection sensor, etc.

In actual application, the remote control device may also include a signal transmission control unit; the signal transmission control unit is connected to the user matching module, and the user matching module is used to transmit the successfully matched user ID to the signal transmission The control unit; the signal transmission control unit is used to load the user ID into the remote control signal and send it to the controlled multi-user terminal, so as to realize the identification of each user by the terminal.

The multi-user identification process of the application embodiment of the present application will be described in detail below with reference to FIG. 9 .

As shown in Figure 9, in this application embodiment, the remote control device performs user identification, which may include the following steps:

Step 901: collect the contact point coordinates and the signal strength of the contact point; then execute step 902;

Step 902: Calculate the vectors between the contact points to generate a vector set; then perform step 903;

Step 903: randomly select a vector from the vector set and compare it with the stored vector; then execute step 904;

Step 904: Determine the size of the number m of users corresponding to the comparison result; if m is greater than 1, then execute step 905; if m is equal to 1, then execute step 908; if m is equal to 0, then end the identification;

Step 905: increase the number of vectors compared; then execute step 906;

Step 906: judge the size of m corresponding to the comparison result; if m is greater than 1, then perform step 905; if m is still greater than 1 after all vectors are compared, then perform step 907; if m is equal to 1, then perform step 908;

Step 907: Match the signal strength of the contact point; then perform step 908;

Step 908: Output the identified user ID.

Specifically, in step 901, in actual application, the sensing unit 202 collects the plane coordinates of the finger position (ie, the first contact point) when the user holds the remote control device. Wherein, as shown in FIG. 10 , when collecting the coordinates of the contact points, the plane of the sensing unit 202 can be used as the coordinate system for collection, and the collected contact points can be expressed as O ₁ (X ₁ , Y ₁ ), O ₂ (X ₂ , Y ₂ ), . . . , _ON (X _N , Y _N ).

In step 902, in actual application, one contact point among O _{1 -ON} can be used as the basic position point (ie, the starting point) to calculate the vectors with other contact points, as shown in FIG. 6 and FIG. 7 . The vector between two contact points can be subtracted from the coordinates of the starting point by the coordinates of the end point. At this time, the obtained vector can be expressed as F ₁₂ (X ₂ -X ₁ , Y ₂ -Y ₁ ), F ₁₃ (X ₃ -X ₁ , Y ₃ -Y ₁ ), ..., F _1N (X _N -X ₁ , Y _N -Y ₁ ). After that, each contact point in O ₁ ~ O _N can be used as the basic position point to calculate the vector with other contact points, and the final vector can be expressed as F ₁₂ (X ₂ -X ₁ , Y ₂ -Y ₁ ) ,..., F _N(N-1) (X _(N-1) -X _N , Y _(N-1) -Y _N )); where, for a total of N contact points from O ₁ to O _N , the obtained vector The number is N(N-1).

In step 903, in actual application, a vector (ie, the first vector) can be randomly selected from N (N-1) vectors to compare with the stored vector (ie, the second vector), so as to verify that The identity of the user holding the remote control device, the vector stored in the remote control device is the contact corresponding to each finger when multiple users (can be represented as user A, user B, ..., user X) stored in advance hold the remote control device Vector set of points.

Exemplarily, as shown in FIG. 11, the vector randomly extracted from the N(N-1) vectors is F ₂₃ (5, 20). After F ₂₃ is extracted, each stored user vector set (that is, each All the second vectors contained in the second information) to perform query comparison, judge whether there is a vector equal to (5, 20) in each user vector set, and determine whether there is a user vector equal to (5, 20) The number m of users corresponding to the set.

If m is equal to 1, it means that the vector information of the user holding the remote control device and the user information stored in the remote control device can correspond to each other (that is, can be matched), and the corresponding user ID can be directly output to complete the identification.

If m is equal to 0, it means that the vector information of the user holding the remote control device and the user information stored in the remote control device cannot correspond to each other at this time, and the user does not belong to the user to be identified, and the identification can be terminated directly.

If m is greater than 1, it means that there is an intersection between the user vector sets stored in the remote control device. At this point, a vector other than F ₂₃ (5, 20) can be randomly selected from the N(N-1) vectors to add to the comparison, and gradually increase the number of compared vectors until m is equal to 1 and output the corresponding User ID; or, m is still greater than 1 until N(N-1) vectors are compared.

In the case where m is still greater than 1 after the comparison of N(N-1) vectors, the signal strength of one or more contact points can be matched until the user is successfully matched (ie, m=1).

In practical applications, the signal strengths of multiple contact points corresponding to a user may be stored by the signal strength difference of each contact point. Exemplarily, when the sensing unit 202 detects 4 contact points, the signal strength value corresponding to the contact point with the weakest signal strength among the 4 contact points can be stored as 0, and the signal strength value of the contact point is subtracted from the signal strength corresponding to other contact points. The signal strength obtains the signal strength difference between the other contact point and the contact point, and stores the signal strength value corresponding to the other contact point as the signal strength difference with the contact point.

In actual application, since the signal strength of the contact point is related to the strength of the user's grip on the remote control device, the greater the grip force, the stronger the signal strength; and the strength of the same user's grip on the remote control device may vary. There will be differences, but there is usually a fixed difference in the force exerted by each finger on the remote control when holding the remote control; therefore, the signal of multiple contact points corresponding to a user is stored by the difference in signal strength of each contact point Strength, which can filter the interference of the grip force applied by each finger when holding the remote control device, and directly compare the grip force between each finger, which can improve the user's recognition of the user when applying different magnitudes of grip force the accuracy.

The solution provided by this application example has the following advantages:

The remote control device of the multi-user terminal can realize the identification of multiple users based on the relative positional relationship of each contact point and the signal strength of each contact point when the user holds the remote control device while saving computing resources and storage resources, so that multiple users The user terminal can collect user behaviors and construct user portraits for different users, so that the multi-user terminal can provide accurate personalized services for each user and improve user experience.

In order to implement the method of the embodiment of the present application, the embodiment of the present application also provides a user identification device, which is set on the electronic device, as shown in Figure 12, the device includes:

The acquisition unit 1201 is configured to acquire the first information collected by the acquisition unit of the electronic device; the first information includes at least the relative positional relationship between a plurality of first contact points; When the device is in contact with the collection unit with fingers;

The first processing unit 1202 is configured to match the first information with the second information in the first database to obtain a first matching result; the first database includes multiple user IDs and each user ID corresponds to The second information; each second information at least includes a relative positional relationship between a plurality of second contact points;

The second processing unit 1203 is configured to identify the user currently holding the electronic device based on the first matching result.

Wherein, in an embodiment, the first information includes a plurality of first vectors; the plurality of first vectors are used to represent the relative positional relationship between the plurality of first contact points; each second information Contains a plurality of second vectors; the plurality of second vectors are used to represent the relative positional relationship between the plurality of second contact points; the first processing unit 1202 is specifically configured to:

matching at least one first vector with multiple second vectors contained in each second information to obtain a second matching result;

In the case where the second matching result indicates that there is a target second information in the first database, the second matching result is determined as the first matching result; the plurality of target second information contained The second vector can match at least one first vector.

In one embodiment, the first information also includes the relative strength relationship between the forces corresponding to the first contact points; each second information also includes the relative relationship between the forces corresponding to the second contact points. Strong and weak relationship; the first processing unit 1202 is also configured to:

In the case where the second matching result indicates that there are at least two target second information in the first database, the relative strength relationship between the forces corresponding to the first contact points is compared with the first contact point of each target. matching the relative strengths of the forces corresponding to the second contact points included in the second information to obtain a third matching result; and determining the first matching result according to the third matching result.

In an embodiment, the starting points of the multiple first vectors are the same; the starting points of the multiple second vectors contained in each second information are the same; the first processing unit 1202 is specifically configured to:

For each second information, judging whether the number of equal vectors existing between the first information and the corresponding second information is greater than or equal to a first threshold, and obtaining a first judging result;

If the first judgment result indicates that the number of equal vectors existing between the first information and corresponding second information is greater than or equal to a first threshold, determining the corresponding second information as the target second information .

In an embodiment, the plurality of first vectors can be divided into a plurality of first vector groups according to the starting point; the starting point of each first vector included in the first vector group is the same; each second information includes a plurality of The second vector can be divided into multiple second vector groups according to the starting point; the starting points of the second vectors contained in the second vector group are the same; the first processing unit 1202 is specifically used for:

For each second information, judge whether the number of equal vectors existing between the first information and the corresponding second information is greater than or equal to a second threshold, and obtain a second judgment result;

When the second judgment result indicates that the number of equal vectors existing between the first information and corresponding second information is greater than or equal to a second threshold, determining the corresponding second information as the target second information .

In an embodiment, the first information includes a plurality of first intensity values; the plurality of first intensity values are used to represent the relative strength relationship between the forces corresponding to the first contact points; The second information includes a plurality of second intensity values; the plurality of second intensity values are used to represent the relative strength relationship between the forces corresponding to the second contact points included in the corresponding second information; the first processing unit 1202, specifically for:

matching at least one first intensity value with a plurality of second intensity values contained in each target second information;

In the case where the third matching result indicates that one of the at least two target second information contains a plurality of second intensity values that can match at least one first intensity value, the third The matching result is determined as the first matching result.

In an embodiment, the apparatus further includes a sending unit, configured to send the user identification corresponding to the user currently holding the electronic device to the target device, so that the target device can identify the user.

Here, it should be noted that the functions of the acquisition unit 1201, the first processing unit 1202, and the second processing unit 1203 are equivalent to the functions of the user matching module in the above application embodiments; the functions of the sending unit are equivalent to The function of the signal transmission control unit in the above application embodiments.

In actual application, the acquiring unit 1201 can be implemented by a processor in the user identification device combined with a communication interface; the first processing unit 1202 and the second processing unit 1203 can be implemented by processing in the user identification device implemented by a device; the sending unit may be implemented by a communication interface in the user identification device.

It should be noted that when the user identification device provided by the above-mentioned embodiment identifies a user, it only uses the division of the above-mentioned program modules as an example for illustration. In actual application, the above-mentioned processing can be allocated to different program modules according to needs. , that is, divide the internal structure of the device into different program modules, so as to complete all or part of the processing described above. In addition, the user identification device and the user identification method embodiments provided in the above embodiments belong to the same idea, and the specific implementation process thereof is detailed in the method embodiments, and will not be repeated here.

Based on the hardware implementation of the above program modules, and in order to implement the method of the embodiment of the present application, the embodiment of the present application also provides an electronic device, as shown in FIG. 13 , the electronic device 1300 includes:

Communication interface 1301, capable of information interaction with other electronic devices;

The processor 1302 is connected to the communication interface 1301 to implement information interaction with other electronic devices, and is used to execute the methods provided by one or more of the above technical solutions when running a computer program;

The memory 1303 stores computer programs that can run on the processor 1302 .

Specifically, the processor 1302 is configured to:

Obtain the first information collected by the collection unit of the electronic device 1300; the first information includes at least the relative positional relationship between a plurality of first contact points; generated by said collection unit contact;

Matching the first information with the second information in the first database to obtain a first matching result; the first database includes a plurality of user IDs and the second information corresponding to each user ID; each second The second information includes at least the relative positional relationship between multiple second contact points;

Based on the first matching result, the user currently holding the electronic device 1300 is identified.

Wherein, in an embodiment, the first information includes a plurality of first vectors; the plurality of first vectors are used to represent the relative positional relationship between the plurality of first contact points; each second information Including a plurality of second vectors; the plurality of second vectors are used to represent the relative positional relationship between the plurality of second contact points; the processor 1302 is specifically configured to:

matching at least one first vector with multiple second vectors contained in each second information to obtain a second matching result;

In the case where the second matching result indicates that there is a target second information in the first database, the second matching result is determined as the first matching result; the plurality of target second information contained The second vector can match at least one first vector.

In one embodiment, the first information also includes the relative strength relationship between the forces corresponding to the first contact points; each second information also includes the relative relationship between the forces corresponding to the second contact points. Strong and weak relationship; the processor 1302 is further configured to:

In the case where the second matching result indicates that there are at least two target second information in the first database, the relative strength relationship between the forces corresponding to the first contact points is compared with the first contact point of each target. matching the relative strengths of the forces corresponding to the second contact points included in the second information to obtain a third matching result; and determining the first matching result according to the third matching result.

In an embodiment, the starting points of the multiple first vectors are the same; the starting points of the multiple second vectors contained in each second information are the same; the processor 1302 is specifically configured to:

For each second information, judging whether the number of equal vectors existing between the first information and the corresponding second information is greater than or equal to a first threshold, and obtaining a first judging result;

If the first judgment result indicates that the number of equal vectors existing between the first information and corresponding second information is greater than or equal to a first threshold, determining the corresponding second information as the target second information .

In an embodiment, the plurality of first vectors can be divided into a plurality of first vector groups according to the starting point; the starting point of each first vector included in the first vector group is the same; each second information includes a plurality of The second vector can be divided into multiple second vector groups according to the starting point; the starting point of each second vector included in the second vector group is the same; the processor 1302 is specifically used for:

For each second information, judge whether the number of equal vectors existing between the first information and the corresponding second information is greater than or equal to a second threshold, and obtain a second judgment result;

When the second judgment result indicates that the number of equal vectors existing between the first information and corresponding second information is greater than or equal to a second threshold, determining the corresponding second information as the target second information .

In an embodiment, the first information includes a plurality of first intensity values; the plurality of first intensity values are used to represent the relative strength relationship between the forces corresponding to the first contact points; The second information includes a plurality of second intensity values; the plurality of second intensity values are used to represent the relative strength relationship between the forces corresponding to the second contact points included in the corresponding second information; the processor 1302, Specifically for:

matching at least one first intensity value with a plurality of second intensity values contained in each target second information;

In the case where the third matching result indicates that one of the at least two target second information contains a plurality of second intensity values that can match at least one first intensity value, the third The matching result is determined as the first matching result.

In an embodiment, the processor 1302 is further configured to:

The user identification corresponding to the user who is currently holding the electronic device 1300 is sent to the target device through the communication interface 1301 for the target device to identify the user.

It should be noted that: the specific process of the processor 1302 performing the above operations can be found in the method embodiments, and will not be repeated here.

Of course, in practical applications, various components in the electronic device 1300 are coupled together through the bus system 1304 . It can be understood that the bus system 1304 is used to realize connection and communication between these components. In addition to the data bus, the bus system 1304 also includes a power bus, a control bus and a status signal bus. However, for clarity of illustration, the various buses are labeled as bus system 1304 in FIG. 13 .

The memory 1303 in the embodiment of the present application is used to store various types of data to support the operation of the electronic device 1300 . Examples of such data include: any computer programs for operating on electronic device 1300 .

The methods disclosed in the foregoing embodiments of the present application may be applied to the processor 1302 or implemented by the processor 1302 . The processor 1302 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method may be completed by an integrated logic circuit of hardware in the processor 1302 or instructions in the form of software. The aforementioned processor 1302 may be a general-purpose processor, a digital signal processor (DSP, Digital Signal Processor), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, and the like. The processor 1302 may implement or execute various methods, steps, and logic block diagrams disclosed in the embodiments of the present application. A general purpose processor may be a microprocessor or any conventional processor or the like. The steps of the method disclosed in the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in a storage medium, and the storage medium is located in the memory 1303. The processor 1302 reads the information in the memory 1303, and completes the steps of the foregoing method in combination with its hardware.

In an exemplary embodiment, the electronic device 1300 may be implemented by one or more Application Specific Integrated Circuits (ASIC, Application Specific Integrated Circuit), DSP, Programmable Logic Device (PLD, Programmable Logic Device), Complex Programmable Logic Device (CPLD, Complex Programmable Logic Device), field-programmable gate array (FPGA, Field-Programmable Gate Array), general-purpose processor, controller, microcontroller (MCU, Micro Controller Unit), microprocessor (Microprocessor), or other electronic components Implementation for executing the aforementioned method.

It can be understood that the memory 1303 in this embodiment of the present application may be a volatile memory or a nonvolatile memory, and may also include both volatile and nonvolatile memories. Wherein, the non-volatile memory can be a read-only memory (ROM, Read Only Memory), a programmable read-only memory (PROM, Programmable Read-Only Memory), an erasable programmable read-only memory (EPROM, Erasable Programmable Read-Only Memory), Only Memory), Electrically Erasable Programmable Read-Only Memory (EEPROM, Electrically Erasable Programmable Read-Only Memory), Magnetic Random Access Memory (FRAM, ferromagnetic random access memory), Flash Memory (FlashMemory), Magnetic Surface Memory, Optical disc, or compact disc read-only memory (CD-ROM, Compact Disc Read-Only Memory); magnetic surface storage can be magnetic disk storage or magnetic tape storage. The volatile memory may be random access memory (RAM, Random Access Memory), which is used as an external cache. By way of illustration and not limitation, many forms of RAM are available, such as Static Random Access Memory (SRAM, Static Random Access Memory), Synchronous Static Random Access Memory (SSRAM, Synchronous Static Random Access Memory), Dynamic Random Access Memory Memory (DRAM, Dynamic Random Access Memory), synchronous dynamic random access memory (SDRAM, Synchronous Dynamic Random Access Memory), double data rate synchronous dynamic random access memory (DDRSDRAM, Double Data Rate Synchronous Dynamic Random Access Memory), enhanced Type Synchronous Dynamic Random Access Memory (ESDRAM, Enhanced Synchronous Dynamic Random Access Memory), Synchronous Link Dynamic Random Access Memory (SLDRAM, SyncLink Dynamic Random Access Memory), Direct Memory Bus Random Access Memory (DRRAM, Direct Rambus Random Access Memory). The memories described in the embodiments of the present application are intended to include but not limited to these and any other suitable types of memories.

In an exemplary embodiment, the embodiment of the present application also provides a storage medium, that is, a computer storage medium, specifically a computer-readable storage medium, for example, including a memory 1303 storing a computer program, and the above-mentioned computer program can be processed by the electronic device 1300 The device 1302 is executed to complete the steps described in the foregoing method. The computer-readable storage medium may be memory such as FRAM, ROM, PROM, EPROM, EEPROM, Flash Memory, magnetic surface memory, optical disk, or CD-ROM.

It should be noted that: "first", "second", etc. are used to distinguish similar objects, and not necessarily used to describe a specific order or sequence.

In addition, the technical solutions described in the embodiments of the present application may be combined arbitrarily if there is no conflict.

The above descriptions are only preferred embodiments of the present application, and are not intended to limit the protection scope of the present application.

Claims (10)

1. A method for identifying a user, comprising:

acquiring first information acquired by an acquisition unit of electronic equipment; the first information at least comprises relative position relations among a plurality of first contact points; the contact point is generated by the contact of fingers and the acquisition unit when a user holds the electronic equipment;

matching the first information with second information in a first database to obtain a first matching result; the first database comprises a plurality of user identifications and second information corresponding to each user identification; each second information at least contains the relative position relationship among a plurality of second contact points;

and identifying a user currently holding the electronic equipment based on the first matching result.

2. The method of claim 1, wherein the first information comprises a plurality of first vectors; the plurality of first vectors are used for representing relative position relations among the plurality of first contact points; each second information contains a plurality of second vectors; the plurality of second vectors are used for representing relative position relations among the plurality of second contact points; the matching the first information with the second information in the first database includes:

matching at least one first vector with a plurality of second vectors contained in each piece of second information to obtain a second matching result;

determining the second matching result as the first matching result under the condition that the second matching result represents that target second information exists in the first database; the target second information includes a plurality of second vectors that can be matched to at least one first vector.

3. The method according to claim 2, wherein the first information further includes a relative strength relationship between the acting force corresponding to each first contact point; each second information also comprises a relative strength relation between acting forces corresponding to the second contact points; the matching the first information with the second information in the first database further comprises:

under the condition that the second matching result represents that at least two pieces of target second information exist in the first database, matching the relative strength relationship between the acting forces corresponding to the first contact points with the relative strength relationship between the acting forces corresponding to the second contact points contained in each piece of target second information to obtain a third matching result; and determining the first matching result according to the third matching result.

4. A method according to claim 2 or 3, wherein the starting points of the plurality of first vectors are the same; the starting points of a plurality of second vectors contained in each second information are the same; the matching of the at least one first vector with a plurality of second vectors included in each second information includes:

for each piece of second information, judging whether the number of equal vectors existing between the first information and the corresponding second information is larger than or equal to a first threshold value or not to obtain a first judgment result;

and determining the corresponding second information as the target second information under the condition that the first judgment result represents that the number of equal vectors existing between the first information and the corresponding second information is greater than or equal to a first threshold value.

5. The method according to claim 2 or 3, wherein the plurality of first vectors can be divided into a plurality of first vector groups by starting points; the starting points of the first vectors contained in the first vector group are the same; the plurality of second vectors contained in each second information can be divided into a plurality of second vector groups according to the starting point; the starting points of all second vectors contained in the second vector group are the same; the matching of the at least one first vector with a plurality of second vectors included in each second information includes:

for each piece of second information, judging whether the number of equal vectors existing between the first information and the corresponding second information is larger than or equal to a second threshold value or not to obtain a second judgment result;

and determining the corresponding second information as the target second information under the condition that the second judgment result represents that the number of equal vectors existing between the first information and the corresponding second information is greater than or equal to a second threshold value.

6. The method of claim 3, wherein the first information comprises a plurality of first intensity values; the plurality of first intensity values are used for representing the relative strength relation among the acting forces corresponding to the first contact points; each second information comprises a plurality of second intensity values; the second intensity values are used for representing the relative strength relation among acting forces corresponding to the second contact points contained in the corresponding second information; the matching of the relative strength relationship between the acting forces corresponding to the first contact points and the relative strength relationship between the acting forces corresponding to the second contact points included in each target second information includes:

matching at least one first intensity value with a plurality of second intensity values contained in each target second information;

and determining the third matching result as the first matching result if a plurality of second intensity values contained in one of the at least two pieces of target second information can be matched with at least one first intensity value.

7. The method of any of claims 1 to 3, further comprising:

and sending a user identifier corresponding to a user holding the electronic equipment to the target equipment so as to be identified by the target equipment.

8. A user identification device, comprising:

the acquisition unit is used for acquiring first information acquired by the acquisition unit of the electronic equipment; the first information at least comprises relative position relations among a plurality of first contact points; the contact point is generated by the contact of fingers and the acquisition unit when a user holds the electronic equipment;

the first processing unit is used for matching the first information with second information in a first database to obtain a first matching result; the first database comprises a plurality of user identifications and second information corresponding to each user identification; each second information at least contains the relative position relationship among a plurality of second contact points;

and the second processing unit is used for identifying the user currently holding the electronic equipment based on the first matching result.

9. An electronic device, comprising: a processor and a memory for storing a computer program capable of running on the processor,

wherein the processor is adapted to perform the steps of the method of any one of claims 1 to 7 when running the computer program.

10. A storage medium on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.

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