HK1222265B - Information interaction method, method for associating human biometric data with account and apparatuses thereof - Google Patents

Description

Method and device for information interaction and association of human biometric data with account numbers

Technical Field

The present application relates to the field of information interaction technology, and in particular to methods and devices for information interaction and association of human biometric data with accounts.

Background Art

Biometric data, including facial features, fingerprints, palm prints, retinal features, bone structure, and heartbeat characteristics, is highly personalized and difficult to imitate. Therefore, using biometric data, users no longer need to record account numbers and passwords. Instead, they can directly scan their biometric data for fast and secure account login and information exchange.

Summary of the Invention

This application provides a method and device for information interaction and association of human biometric data with accounts, which can reduce the number of times human biometric data is acquired and improve the efficiency of information interaction.

To achieve the above objectives, this application provides the following technical solutions:

According to a first aspect of the present invention, an information interaction method is proposed, comprising:

When an information interaction operation with a user account of an information interaction party is triggered, obtaining human biometric data of the user who is the information interaction party;

If it is determined that no matching user account exists based on the human biometric data, suspending the information interaction operation and uploading the human biometric data to a server via the device, so that the user can establish an association between his or her own user account and the human biometric data;

When the user account matching the human biometric data is received from the server, the information interaction operation is resumed and the information interaction operation is completed with the user account matching the human biometric data.

According to a second aspect of the present invention, an information interaction method is proposed, comprising:

Sending a data query request to the server through the logged-in account to query the human biometric data of the user corresponding to the logged-in account obtained and uploaded by the device to which the user account of the information interaction party belongs;

Sending an association request to the server to establish an association relationship between the logged-in account and the retrieved human biometric data;

When the interaction information sent by the information interaction party account according to the association relationship is received, the information interaction operation is completed with the user account of the information interaction party.

According to a third aspect of the present invention, a method for associating human biometric data with an account is proposed, comprising:

Receiving human biometric data uploaded through a device;

Associating and storing the human biometric data with corresponding identification information;

Receiving a request message from a user account, wherein the request message includes identification information;

Searching for human biometric data corresponding to the identification information included in the request information, and establishing an association between the user account and the searched human biometric data.

According to a fourth aspect of the present invention, an information interaction device is provided, comprising:

an acquiring unit, configured to acquire biometric data of a user who is an information interacting party when an information interacting operation with the user account of the information interacting party is triggered;

a processing unit, which, if it is determined that no matching user account exists based on the human biometric data, suspends the information interaction operation and uploads the human biometric data to a server via a device, so that the user establishes an association between his or her user account and the human biometric data;

The interaction unit, when receiving the user account matching the human biometric data sent by the server, resumes the information interaction operation and completes the information interaction operation with the user account matching the human biometric data.

According to a fifth aspect of the present invention, an information interaction device is provided, comprising:

A query unit, which sends a data query request to the server through the logged-in account to query the human biometric data of the user corresponding to the logged-in account acquired and uploaded by the device to which the user account of the information interaction party belongs;

an associating unit, sending an association request to the server to establish an association relationship between the logged-in account and the queried human biometric data;

The interaction unit completes the information interaction operation with the user account of the information interaction party when receiving the interaction information sent by the information interaction party account according to the association relationship.

According to a sixth aspect of the present invention, a device for associating human biometric data with an account number is provided, comprising:

A data receiving unit, receiving human biometric data uploaded by the device;

an associated storage unit for storing the human biometric data in association with corresponding identification information;

A request receiving unit, receiving a request message from a user account, wherein the request message includes identification information;

The association processing unit searches for human biometric data corresponding to the identification information included in the request information, and establishes an association relationship between the user account and the searched human biometric data.

It can be seen from the above technical solution that this application, by pausing and resuming information interaction operations, waits for the user of the information interaction party to establish the association relationship between human biometric data and user account in real time, thereby reducing the number of times human biometric data is obtained, avoiding the number of times information interaction operations are executed, and also helping to improve information interaction efficiency.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 shows a flow chart of an information interaction method;

FIG2 shows a flow chart of another information interaction method;

FIG3A shows a flow chart of a terminal-side information interaction method according to an exemplary embodiment of the present application;

FIG3B shows a flowchart of a terminal-side information interaction method according to another exemplary embodiment of the present application;

FIG4 shows a flow chart of executing a payment service according to an exemplary embodiment of the present application;

FIG5 shows a flow chart of a method for associating human biometric data with an account based on a server side according to an exemplary embodiment of the present application;

FIG6 shows a schematic structural diagram of a terminal according to an exemplary embodiment of the present application;

FIG7 shows a block diagram of an information interaction device according to an exemplary embodiment of the present application;

FIG8 shows a block diagram of an information interaction device according to another exemplary embodiment of the present application;

FIG9 shows a schematic structural diagram of a server according to an exemplary embodiment of the present application;

FIG10 shows a block diagram of a device for associating human biometric data with an account according to another exemplary embodiment of the present application.

DETAILED DESCRIPTION

When users exchange information, they need to use their respective user accounts to send and receive information. In the process of information exchange based on human biometric data, the user's biometric data is actually associated with the user account. This makes the information exchange process easier and more secure by leveraging the characteristics of human biometric data, such as ease of acquisition, difficulty in imitation, and high security.

As shown in Figure 1, assuming that information exchange is implemented between user A and user B, the general processing process is as follows:

In step 102, user A and user B each store the association between their user account and biometric data on the server. Assuming user A's corresponding user account is account A and their biometric data is feature 1, and user B's corresponding user account is account B and their biometric data is feature 2, user A and user B each store the association between account A and feature 1, and account B and feature 2, on the server.

In step 104 , the server associates and stores the received user account and human biometric data, such as account A and feature 1, account B and feature 2, etc., as shown in FIG1 .

Step 106: Assume that user A triggers an information interaction operation.

In step 108 , user A scans user B using a scanning device to obtain user B's biometric data, such as feature 2.

In step 110, user A sends a query request to the server via the terminal, where the query request includes feature 2 obtained by scanning.

Step 112: Based on the pre-stored association between account B and feature 2, the server searches for the user account that matches feature 2 as account B, and returns a query result containing account B to user A.

Of course, if user B triggers the information interaction operation in step 106, and user B scans user A through a scanning device to obtain feature 1 in step 108, and user B sends a query request containing feature 1 to the server in step 110, then the server will find account A corresponding to feature 1 uploaded by user B based on the association relationship between account A and feature 1 in step 112.

In step 114 , user A exchanges information with account B (corresponding to user B) through account A, thereby realizing information exchange between user A and user B.

Through the above processing process shown in Figure 1, information interaction between user A and user B can be easily achieved, and based on the feature scanning of user B, other users are prevented from impersonating user B by logging into account B.

However, the above processing procedures are all implemented based on step 102, that is, the two parties to the information interaction must store the association relationship between the user account and the human biometric data in the server in advance, so that during the information interaction operation, the user account corresponding to the scanned human biometric data can be found based on the pre-stored association relationship (that is, step 112).

However, especially when the application function is first launched, many users may not store their user accounts and human biometric data in association with each other on the server, resulting in the processing structure shown in Figure 2:

In step 202 , it is assumed that only user A uploads his account A and feature 1 to the server.

In step 204 , the server associates account A with feature 1 and stores the associated information.

In step 206, it is assumed that user A triggers the first information interaction operation.

In step 208 , user A scans user B using a scanning device to obtain user B's biometric data, such as feature 2.

In step 210, user A sends a query request to the server via the terminal, where the query request includes feature 2 obtained by scanning.

In step 212, since user B has not uploaded and stored account B in association with feature 2 to the server, the server cannot find a user account that matches feature 2 and returns a query result of "not found" to user A.

In step 214, since the information interaction party cannot be determined, the first information interaction operation triggered by user A ends.

In step 216, user B needs to scan himself through a scanning device and store the obtained biometric data, such as feature 2, in association with account number B on the server.

In step 218, user A triggers the second information interaction operation.

In step 220 , user A scans user B using a scanning device to obtain user B's biometric data, such as feature 2.

In step 222, user A sends a query request to the server via the terminal, where the query request includes feature 2 obtained by scanning.

In step 224 , based on the pre-stored association between account B and feature 2, the server searches for the user account that matches feature 2 as account B, and returns a query result including account B to user A.

In step 226, user A exchanges information with account B (corresponding to user B) through account A, thereby realizing information exchange between user A and user B.

It can be seen that when the information interaction party has not previously associated and stored the user account and human biometric data, it is necessary to trigger the information interaction operation at least twice (step 206 and step 218) and scan the human biometric data three times (step 208, step 216 and step 220). The operation process is very complicated and tedious.

In the technical solution of the present application, the number of times the user's biometric data is obtained can be reduced, user operations can be simplified, and information interaction efficiency can be improved.

To further illustrate this application, the following examples are provided:

Please refer to FIG3A , which shows a flow chart of an information interaction method according to an exemplary embodiment of the present application. The method is applied to a terminal and may include the following steps:

Step 302: When an information interaction operation with a user account of an information interaction party is triggered, obtaining biometric data of the user as the information interaction party;

In this embodiment, human biometric data may include at least one of the following: facial features, fingerprint features, palm print features, retinal features, bone features, heartbeat features, etc.; of course, those skilled in the art should understand that this application does not limit the specific type of "human biometric data", and other biometric features that can be used for user identification can obviously also be applied to the technical solution of this application.

In this embodiment, the information interaction operation may be directly triggered by an APP (Application) set in the terminal; or, the information interaction operation may be indirectly triggered by function calls between APPs.

Step 304: If it is determined that no matching user account exists based on the human biometric data, the information interaction operation is suspended, and the human biometric data is uploaded to the server via the device, so that the user can establish an association between his or her user account and the human biometric data.

In this embodiment, a user account may be logged in on the device, and the acquired human biometric data may be uploaded to the server based on the user account.

In this embodiment, the user account and the human biometric data may be stored in a mapping database in association with each other, and the user account that matches the acquired human biometric data may be determined by querying the mapping database.

As an exemplary embodiment, a user can download and store the mapping database locally on the terminal to form a corresponding local mapping database, and then search the local mapping database for user accounts that match the acquired human biometric data. Furthermore, the local mapping database can be updated regularly from the server to ensure the real-time data of the local mapping database.

Preferably, for the mapping relationship stored in the local mapping relationship database, the corresponding user account can be the user account of a friend (such as a contact in the address book), or a user account that has an account relationship based on previously performed information interaction operations, so as to avoid the large amount of data stored in the local mapping relationship database, which may cause it to occupy too much local storage space or reduce query efficiency.

As another exemplary embodiment, an online mapping database can be created on a server. Users can then send their acquired biometric data to the server, which then searches the online mapping database for a user account that matches the acquired biometric data. Using an online mapping database allows for online updates of mappings, ensuring real-time data availability.

In this embodiment, by storing the acquired human biometric data to the server, the user as the information interaction party can directly use the human biometric data, that is, establish an association between his own user account and the human biometric data, without the need for the user to re-scan and acquire his own human biometric data, thereby effectively reducing the number of times the human biometric data is acquired and improving the efficiency of information interaction.

Step 306: When the user account matching the human biometric data is received from the server, the information interaction operation is resumed and the information interaction operation is completed with the user account matching the human biometric data.

In this embodiment, by restoring the information interaction operation, the user does not need to re-initiate the information interaction operation, nor does he need to re-acquire the human biometric data of the user as the information interaction party, which helps to improve the efficiency of information interaction.

In this embodiment, as an exemplary implementation, the server can directly push the user account to the terminal after the user as the information interaction party establishes a user account corresponding to the human biometric data (uploaded to the server in step 304); as another exemplary implementation, the terminal can initiate a polling operation to the server after step 304, and the server can return the matching user account as a query result to the terminal based on the polling operation.

In the embodiment shown in FIG3A , the description is made from the perspective of user A shown in FIG1 and FIG2 , that is, the embodiment is applied to the terminal of user A. In contrast, please refer to FIG3B , which shows a flowchart of an information interaction method according to an exemplary embodiment of the present application. The method can be applied to the terminal of user B shown in FIG1 and FIG2 , and may include the following steps:

Step 302', sending a data query request to the server through the logged-in account to query the human biometric data of the user corresponding to the logged-in account acquired and uploaded by the device to which the user account of the information interaction party belongs;

In this embodiment, the user does not need to reacquire his or her own human biometric data, but can directly use the human biometric data acquired and uploaded to the server in the embodiment shown in FIG3A , thereby reducing the number of times the human biometric data is acquired.

Step 304', sending an association request to the server to establish an association relationship between the logged-in account and the retrieved human biometric data;

Step 306': upon receiving the interaction information sent by the information interaction party account according to the association relationship, the information interaction operation is completed with the user account of the information interaction party.

It can be seen from the above embodiments that when the user account matching the acquired human biometric data is not queried, the present application does not directly end the user interaction operation, but adopts a pause and resume method to avoid multiple triggering of information interaction operations; at the same time, by uploading the acquired human biometric data to the server, the user as the information interaction party does not need to re-acquire his or her own human biometric data, but can directly set a corresponding user account for the uploaded human biometric data, thereby helping to reduce the number of times human biometric data is acquired and improving the efficiency of information interaction.

The technical solution of this application can be applied to various types of information interaction scenarios. For example, the following uses the specific application scenario of "payment service" as an example to describe the execution process of the solution in detail. Please refer to Figure 4, which shows a flowchart of executing a payment service according to an exemplary embodiment of this application. The method involves the process of user A making a payment to user B, and may include the following steps:

In step 402, after user A triggers a payment transaction with user B, the user A scans and obtains the facial image of user B.

In this embodiment, the payment service can be triggered directly by user A, such as triggering the payment service in the "Alipay" client on a terminal such as a mobile phone or tablet; or, user A can also indirectly trigger the payment service through an operation such as "purchase".

In this embodiment, user A can directly obtain user B's biometric data through a functional component configured on the terminal. Alternatively, user A can connect to an external functional component via a wired or wireless connection and receive data sent by the external functional component after the external functional component scans and obtains user B's biometric data. If the biometric data used here is a facial image, user A can scan and obtain user B's facial image using an internal or external camera on the terminal.

In this embodiment, human biometric data may also be acquired in advance, for example, user A stores the facial image of user B in the terminal in advance, so that even if user B is not around, information exchange can be carried out in advance.

In step 404, user A sends the facial image of user B to the server, and the server searches for a user account that matches the facial image.

In this embodiment, as an exemplary implementation, an online database can be configured on the server, which stores the mapping relationship between facial images uploaded by users in advance and user accounts, so that it is possible to find out whether there is a matching user account based on the facial image uploaded by user A.

Of course, as another exemplary embodiment, user A may also download the mapping relationship to his own terminal, thereby establishing a corresponding local database, and searching locally for a user account that matches the facial image.

In step 406 , if a matching user account exists, proceed to step 420 , otherwise proceed to step 408 .

Step 408: User A suspends payment transactions with user B.

In step 410, user A uploads and stores the acquired facial image of user B to the server.

In this embodiment, “step 408” and “step 410” are only used to distinguish two operation steps, but are not used to limit the specific execution order thereof.

As an exemplary embodiment, user B can obviously determine his own facial image by viewing facial images on the server in sequence.

As another exemplary embodiment, since there may be many users' facial images (or other human biometric data) in the server, in step 410, user A can upload the acquired facial image to the server in association with the corresponding identification information, and user B can then quickly obtain his or her corresponding facial image from the server based on the identification information.

When user A generates and uploads identification information to the server, the identification information may include at least one of the following: account attribute information of the locally logged-in account, the time when the terminal device used by user A uploaded the biometric data, the geographic location of the terminal device when uploading the biometric data, attribute information of the terminal device, attribute information of the network environment in which the terminal device is located, a custom string, or a random string generated by the terminal device. Account attribute information may include user A's account name, user A's mobile phone number, etc.; terminal device attribute information may include the ID assigned by the server to the terminal device, the IDs of components within the terminal device, etc.; and attribute information of the network environment in which the terminal device is located may include the IP address, MAC address, etc. Of course, if user A and user B are together, user A may also manually input or control the terminal device to generate arbitrary identification information, such as a random code, so that user B can find the corresponding facial image based on the random code.

As another exemplary embodiment, after receiving the human biometric data uploaded by user A, the server can generate corresponding identification information on its own and store the human biometric data and the identification information in association with each other; then, the server feeds back the identification information to user A's terminal device, so that user B can obtain the identification information from the terminal device for subsequent human biometric data search and account association operations.

When the identification information is generated by the server, the identification information may be a random character string. By having the server generate the identification information, the uniqueness of each piece of identification information in the server can be ensured.

In this embodiment, user A can send the identification information to user B, or user B can obtain it on his own. When user B obtains the identification information on his own, user A can display the identification information on the terminal screen interface, and user B can then: 1) read the identification information, input it into the terminal, and upload it to the server to search for a matching facial image; 2) automatically recognize the identification information using OCR technology using the camera on the terminal; 3) user A generates a corresponding barcode from the identification information, such as a one-dimensional code or a two-dimensional code, and user B uses the corresponding recognition function to read and parse the identification information in the barcode.

In step 412, user B searches for his/her own facial image from the server.

In step 414, user B associates the found facial image with his/her own user account B.

In step 416, user B stores the mapping relationship between the found facial image and his/her own user account B to the server. The server may update the mapping relationship to the online database.

In step 418, based on the stored mapping relationship, the server may send the user account B corresponding to the facial image obtained in step 402 to the terminal of user A, thereby resuming the payment service.

Step 420: Complete the payment transaction with user B.

In the above embodiment, the user only needs to obtain human biometric data once to complete the information interaction operation, and there is no need to start the information interaction operation multiple times, which helps to simplify the operation process and improve the efficiency of information interaction.

Please refer to FIG5 , which shows a flow chart of a method for associating human biometric data with an account on a server side according to an exemplary embodiment of the present application. The method is applied to the server and may include the following steps:

Step 502: receiving human biometric data uploaded by the device;

Step 504: storing the human biometric data in association with corresponding identification information;

In this embodiment, since there may be many human biometric data uploaded by user accounts on the server, by associating the human biometric data with the identification information and storing them, it is helpful to effectively distinguish different human biometric data and avoid confusion.

As an exemplary embodiment, the identification information can be uploaded by the user through the device. In this case, the identification information may include at least one of the following: account attribute information of the logged-in account in the device, time information of the device uploading the human biometric data, geographic location information of the device uploading the human biometric data, attribute information of the device, attribute information of the network environment in which the device is located, a custom string, and a random string generated by the device.

As another exemplary embodiment, the identification information can be generated locally by the server. In this case, the identification information can be a random string. When the server generates the identification information, the uniqueness of each identification information can be ensured, preventing users from obtaining too many search results when searching using the identification information, which could reduce the efficiency of obtaining the correct human biometric data.

Step 506: Receive a request message from the user account, wherein the request message includes the identification information;

In this embodiment, the user account that sends the request information and the user account that sends the human biometric data in step 502 can be the same account or different accounts.

Step 508: Search for human biometric data corresponding to the identification information included in the request information, and establish an association between the user account and the searched human biometric data.

It can be seen from the above embodiments that this application uploads the user's human biometric data to the server, so that the user can directly use the human biometric data to establish an association relationship with the user account, thereby avoiding the user from obtaining human biometric data multiple times, which helps to improve the efficiency of account association.

In addition, based on the method for associating human biometric data with accounts shown in Figure 5, server-based information interaction operations can also be implemented to improve the efficiency of information interaction between users. For example, if user A wants to send a photo they took to user B's account b, but user B has not previously associated their facial image with user account b, the photo from user A can be indirectly sent to user B based on server information forwarding. The specific process is as follows:

In step 502, user A obtains the facial image (or other biometric data) of user B. However, since user B has not previously associated his or her facial image with user account b, user A sends the obtained facial image to the server, and also sends the photos (or other information to be interacted with) that need to be sent to user B to the server.

In step 504, the photo, facial image, and corresponding identification information uploaded by user A are stored in association. Since the server may store a lot of information to be interacted with, human biometric data, etc., the associated storage operation facilitates effective differentiation of stored information and data.

In step 506, based on the identification information in the request information from user B, on the one hand, the facial image uploaded by user A can be found, thereby establishing an association between user account b and the found facial image; on the other hand, the found photo can be sent to user B, thereby completing the interaction between user account a of user A and user account b of user B.

It can be seen that although the information interaction operation between users A and B (i.e., the operation of sending photos) was suspended because user B did not establish an association between his or her facial image and user account b in advance, the information interaction operation was restored and completed smoothly based on the association establishment operation performed by user B afterwards and the "transfer" of the photos through the server.

Figure 6 shows a schematic structural diagram of a terminal according to an exemplary embodiment of the present application. Please refer to Figure 6. At the hardware level, the electronic device includes a processor, an internal bus, a network interface, a memory, and a non-volatile memory. Of course, it may also include hardware required for other services. The processor reads the corresponding computer program from the non-volatile memory into the memory and then runs it, forming an information interaction device at the logical level. Of course, in addition to software implementation, this application does not exclude other implementation methods, such as logic devices or a combination of software and hardware, etc., that is, the execution subject of the following processing flow is not limited to each logic unit, but can also be hardware or logic devices.

Please refer to FIG7 , in a software implementation, corresponding to the information interaction method shown in FIG3A , the information interaction device may include an acquisition unit, a processing unit, and an interaction unit.

an acquiring unit, configured to acquire biometric data of a user who is an information interacting party when an information interacting operation with the user account of the information interacting party is triggered;

a processing unit, which, if it is determined that no matching user account exists based on the human biometric data, suspends the information interaction operation and uploads the human biometric data to a server via a device, so that the user establishes an association between his or her user account and the human biometric data;

The interaction unit, when receiving the user account matching the human biometric data sent by the server, resumes the information interaction operation and completes the information interaction operation with the user account matching the human biometric data.

Optionally, the processing unit is specifically configured to:

Searching a local mapping database for a user account that matches the human biometric data, wherein the local mapping database stores a mapping relationship between the human biometric data and the user account;

Alternatively, the human biometric data is sent to a server, so that the server searches an online mapping database for a user account that matches the human biometric data, and receives a query result returned by the server, wherein the online mapping database stores a mapping relationship between the human biometric data and the user account.

Optionally, it further includes a receiving unit or a generating unit, wherein:

The receiving unit receives identification information returned by the server after sending the human biometric data to the server, wherein the human biometric data and the identification information are associated and stored in the server;

The generating unit generates identification information and sends the identification information to the server, so that the human biometric data is stored in the server in association with the identification information.

Optionally, when the identification information is returned by the server, the identification information includes: a random character string;

When the identification information is generated locally, the identification information includes at least one of the following:

The account attribute information of the logged-in account in the device, the time information of the device uploading the human biometric data, the geographical location information of the device uploading the human biometric data, the attribute information of the device, the attribute information of the network environment in which the device is located, a custom string, and a random string generated by the device.

Optionally, also include:

The display unit displays the identification information, or displays a barcode graphic generated according to the identification information.

Optionally, the information interaction operation includes:

Perform face-to-face transfer operations with a user account that matches the human biometric data.

Please refer to FIG8 , in a software implementation, corresponding to the information interaction method shown in FIG3B , the information interaction device may include a query unit, an association unit, and an interaction unit.

A query unit, which sends a data query request to the server through the logged-in account to query the human biometric data of the user corresponding to the logged-in account acquired and uploaded by the device to which the user account of the information interaction party belongs;

an association unit, sending an association request to the server to establish an association relationship between the logged-in account and the queried human biometric data;

The interaction unit completes the information interaction operation with the user account of the information interaction party when receiving the interaction information sent by the information interaction party account according to the association relationship.

Optionally, the data query request includes identification information, which is generated by the device and sent to the server, or generated by the server and sent to the device, wherein the human biometric data is stored in the server in association with the identification information.

Optionally, also include:

An acquiring unit, configured to acquire a barcode graphic displayed on a screen interface of the device;

A parsing unit is configured to parse the barcode graphic to obtain the identification information.

Optionally, the information interaction operation includes:

Perform face-to-face transfer operations with the user account of the information interaction party.

FIG9 shows a schematic structural diagram of a server according to an exemplary embodiment of the present application. Referring to FIG9 , at the hardware level, the server includes a processor, an internal bus, a network interface, a memory, and a non-volatile memory, and may also include hardware required for other services. The processor reads the corresponding computer program from the non-volatile memory into the memory and then runs it, forming a device for associating human biometric data with an account at the logical level. Of course, in addition to software implementation, this application does not exclude other implementation methods, such as logic devices or a combination of software and hardware, etc., that is, the execution subject of the following processing flow is not limited to each logic unit, but can also be hardware or logic devices.

Please refer to Figure 10, in a software implementation, the device for associating human biometric data with an account may include a data receiving unit, an association storage unit, a request receiving unit, and an association processing unit.

A data receiving unit, receiving human biometric data uploaded by the device;

an associated storage unit for storing the human biometric data in association with corresponding identification information;

a request receiving unit, receiving a request message from a user account, wherein the request message includes identification information;

The association processing unit searches for human biometric data corresponding to the identification information included in the request information, and establishes an association relationship between the user account and the searched human biometric data.

Optionally, the identification information is uploaded by the device or generated locally.

Optionally, when the identification information is uploaded by the device, the identification information includes at least one of the following:

Account attribute information of the account logged into the device, time information of the device uploading the human biometric data, geographical location information of the device uploading the human biometric data, attribute information of the device, attribute information of the network environment in which the device is located, a custom string, and a random string generated by the device;

When the identification information is generated locally, the identification information includes: a random character string.

Optionally, the data receiving unit further receives information to be interacted uploaded by the device;

The associated storage unit further associates and stores the information to be interacted with, the human biometric data, and the identification information;

The device further includes: an information sending unit, which, upon receiving the request information, sends the to-be-interacted information corresponding to the identification information included in the request information to the user account.

Therefore, this application pauses and resumes information interaction operations, waiting for the users of the information interaction party to establish the association between human biometric data and user accounts in real time, thereby reducing the number of times human biometric data is obtained, avoiding the number of times information interaction operations are executed, and also helping to improve information interaction efficiency.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

Memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and/or non-volatile memory in the form of read-only memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.

Computer-readable media includes permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. The information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media (transitory media), such as modulated data signals and carrier waves.

It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus that includes a series of elements includes not only those elements but also other elements not explicitly listed, or includes elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprises a ..." does not exclude the presence of other identical elements in the process, method, commodity, or apparatus that includes the element.

The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application shall be included in the scope of protection of the present application.

Claims (28)

1. An information exchange method, characterized in that it includes: When an information interaction operation between the user account of the information interaction party is triggered, the human biometric data of the user who is the information interaction party is obtained. Based on the human biometric data, if it is determined that there is no matching user account, the information interaction operation is suspended, and the human biometric data is uploaded to the server through the device so that the user can establish an association between their user account and the human biometric data. When a user account matching the human biometric data is received from the server, the information interaction operation is resumed, and the information interaction operation is completed with the user account matching the human biometric data. 2. The method according to claim 1, characterized in that the existence of a user account matching the human biometric data is determined by the following method: Search the local mapping database to see if there is a user account that matches the human biometric data, wherein the local mapping database stores the mapping relationship between human biometric data and user accounts; Alternatively, the human biometric data can be sent to a server, which can then search an online mapping database for a user account that matches the human biometric data and receive the query results returned by the server. The online mapping database stores the mapping relationship between human biometric data and user accounts. 3. The method according to claim 1, characterized in that it further comprises: After sending the human biometric data to the server, the system receives identification information returned by the server, wherein the human biometric data and the identification information are associated and stored on the server. Alternatively, identification information can be generated and sent to a server so that the human biometric data is stored in the server in association with the identification information. 4. The method according to claim 3, characterized in that, When the identification information is returned by the server, the identification information includes: a random string; When the identification information is generated locally, the identification information includes at least one of the following: The device contains the account attribute information of the logged-in account, the time information of the device uploading the human biometric data, the geographical location information of the device uploading the human biometric data, the device's attribute information, the attribute information of the network environment in which the device is located, a custom string, and a random string generated by the device. 5. The method according to claim 3, characterized in that it further comprises: Display the identification information; Alternatively, the identification information can be generated as a barcode graphic and the barcode graphic can be displayed. 6. The method according to claim 1, wherein the information interaction operation includes: Perform face-to-face transfer operations between user accounts that match the human biometric data. 7. An information exchange method, characterized in that it includes: Send a data query request to the server through the logged-in account to query the human biometric data of the user corresponding to the logged-in account obtained and uploaded by the device to which the user account of the information exchange party belongs. Send an association request to the server to establish an association between the logged-in account and the queried human biometric data; When the user receives interactive information sent by the information interaction party account according to the association relationship, the user completes the information interaction operation with the information interaction party's user account. 8. The method according to claim 7, wherein the data query request includes identification information, the identification information being generated by the device and sent to the server, or generated by the server and sent to the device, wherein the human biometric data is stored on the server in association with the identification information. 9. The method according to claim 8, characterized in that it further comprises: Obtain the barcode graphic displayed on the screen interface of the device; The barcode image is parsed to obtain the identification information. 10. The method according to claim 7, wherein the information interaction operation includes: Perform face-to-face transfer operations between the user accounts of the parties exchanging information. 11. A method for associating human biometric data with an account, characterized in that it includes: Receive human biometric data uploaded by devices logged in with the first user account; The human biometric data is associated with and stored with corresponding identification information; Receive a request from a second user account, the request containing identification information; Locate the human biometric data corresponding to the identification information contained in the request information, and establish an association between the second user account and the found human biometric data. 12. The method according to claim 11, wherein the identification information is uploaded by the device or generated locally. 13. The method according to claim 12, characterized in that, When the identification information is uploaded by the device, the identification information includes at least one of the following: The device contains the following information: account attribute information of logged-in accounts, time information of the device uploading the human biometric data, geographical location information of the device uploading the human biometric data, device attribute information, attribute information of the network environment in which the device is located, a custom string, and a random string generated by the device. When the identification information is generated locally, the identification information includes: a random string. 14. The method according to claim 11, characterized in that it further comprises: Receive the information to be interacted with uploaded by the device; The information to be interacted with, the human biometric data, and the identification information are stored together in association; Upon receiving the request information, the interaction information corresponding to the identification information contained in the request information is sent to the second user account. 15. An information interaction device, characterized in that it comprises: The acquisition unit acquires human biometric data of the user who is the information interaction party when an information interaction operation between the user account of the information interaction party is triggered. The processing unit, based on the human biometric data, if it determines that there is no matching user account, suspends the information interaction operation and uploads the human biometric data to the server through the device, so that the user can establish an association between their user account and the human biometric data. When the interaction unit receives a user account that matches the human biometric data sent by the server, it resumes the information interaction operation and completes the information interaction operation with the user account that matches the human biometric data. 16. The apparatus according to claim 15, wherein the processing unit is specifically used for: Search the local mapping database to see if there is a user account that matches the human biometric data, wherein the local mapping database stores the mapping relationship between human biometric data and user accounts; Alternatively, the human biometric data can be sent to a server, which can then search an online mapping database for a user account that matches the human biometric data and receive the query results returned by the server. The online mapping database stores the mapping relationship between human biometric data and user accounts. 17. The apparatus according to claim 15, characterized in that it further comprises a receiving unit or a generating unit, wherein: After sending the human biometric data to the server, the receiving unit receives the identification information returned by the server, wherein the human biometric data and the identification information are associated and stored in the server. The generation unit generates identification information and sends the identification information to the server so that the human biometric data is stored in the server in association with the identification information. 18. The apparatus according to claim 17, characterized in that, When the identification information is returned by the server, the identification information includes: a random string; When the identification information is generated locally, the identification information includes at least one of the following: The device contains the account attribute information of the logged-in account, the time information of the device uploading the human biometric data, the geographical location information of the device uploading the human biometric data, the device's attribute information, the attribute information of the network environment in which the device is located, a custom string, and a random string generated by the device. 19. The apparatus according to claim 17, characterized in that it further comprises: The display unit displays the identification information or a barcode graphic generated based on the identification information. 20. The apparatus according to claim 15, wherein the information interaction operation includes: Perform face-to-face transfer operations between user accounts that match the human biometric data. 21. An information interaction device, characterized in that it comprises: The query unit sends a data query request to the server through the logged-in account to query the human biometric data of the user corresponding to the logged-in account obtained and uploaded by the device to which the user account of the information interaction party belongs. The association unit sends an association request to the server to establish an association between the logged-in account and the queried human biometric data; The interaction unit, when receiving interaction information sent by the information interaction party's account according to the association relationship, completes the information interaction operation with the user account of the information interaction party. 22. The apparatus according to claim 21, wherein the data query request includes identification information, the identification information being generated by the device and sent to the server, or generated by the server and sent to the device, wherein the human biometric data is stored in association with the identification information on the server. 23. The apparatus according to claim 22, characterized in that it further comprises: The acquisition unit acquires the barcode graphic displayed on the screen interface of the device; The parsing unit parses the barcode graphic to obtain the identification information. 24. The apparatus according to claim 21, wherein the information interaction operation includes: Perform face-to-face transfer operations between the user accounts of the parties exchanging information. 25. A device for linking human biometric data with an account, characterized in that it comprises: The data receiving unit receives human biometric data uploaded by a device logged in with a first user account; An associated storage unit stores the human biometric data in association with corresponding identification information; The request receiving unit receives request information from a second user account, the request information including identification information; The association processing unit searches for human biometric data corresponding to the identification information contained in the request information, and establishes an association between the second user account and the searched human biometric data. 26. The apparatus according to claim 25, wherein the identification information is obtained by uploading from the device or generated locally. 27. The apparatus according to claim 26, characterized in that, When the identification information is uploaded by the device, the identification information includes at least one of the following: The device contains the following information: account attribute information of logged-in accounts, time information of the device uploading the human biometric data, geographical location information of the device uploading the human biometric data, device attribute information, attribute information of the network environment in which the device is located, a custom string, and a random string generated by the device. When the identification information is generated locally, the identification information includes: a random string. 28. The apparatus according to claim 25, characterized in that, The data receiving unit also receives interactive information uploaded by the device; The associated storage unit also associates and stores the information to be interacted with, the human biometric data, and the identification information; The device further includes: an information sending unit, which, upon receiving the request information, sends interactive information corresponding to the identification information contained in the request information to the second user account.