CN107203712A - Determine method, device, storage medium and the terminal of unlocking manner - Google Patents

Abstract

Embodiments of the present invention provide a method, device, storage medium, and terminal for determining an unlocking method. The method acquires a first parameter value and a second parameter value among environmental parameters; Parameter weight; judging whether the environmental parameter weight is within the preset range; when the environmental parameter weight is within the preset range, determine the current unlocking mode according to the parameter types of the first parameter and the second parameter. In this solution, when the calculated environmental parameter weight is within the preset range, the terminal determines the current unlocking mode of the terminal according to the parameter types of the first parameter and the second parameter, thereby reducing the impact of the environmental parameter on the unlocking accuracy. The impact can improve the success rate of unlocking the terminal, thereby improving the convenience of the terminal.

Description

Method, device, storage medium and terminal for determining unlocking mode

technical field

The present invention relates to the technical field of terminals, in particular to a method, device, storage medium and terminal for determining an unlocking mode.

Background technique

With the development of terminal technologies, terminals such as smart phones have more and more functions. Among them, many functions of the terminal are closely related to the personal privacy of the user. For example, payment applications, social applications, personal health data, etc. in the terminal. Therefore, in order to ensure the privacy security of the user, the security of the terminal has drawn more and more attention.

In order to improve the security of using the terminal, when the user enters the terminal interface, user authentication is required. For example, when a user enters a terminal interface, the terminal requires the user to input a fingerprint, and performs identification and verification on the fingerprint. However, the legal user of the terminal (that is, the owner) may also fail the authentication, and the terminal will continue to perform multiple authentications at this time. In this case, the identity verification function of the terminal consumes time and causes inconvenience to the user, thereby reducing the convenience of the terminal.

Contents of the invention

Embodiments of the present invention provide a method, device, storage medium, and terminal for determining an unlocking mode, which can improve the convenience of the terminal.

An embodiment of the present invention provides a method for determining an unlocking method, including:

Obtain the first parameter value and the second parameter value in the environment parameter;

calculating environmental parameter weights according to the first parameter value and the second parameter value;

judging whether the environmental parameter weight is within a preset range;

If the environmental parameter weight is within the preset range, then determine the current unlocking mode according to the parameter types of the first parameter and the second parameter.

The embodiment of the present invention also provides a device for determining the unlocking mode, including:

An acquisition module, configured to acquire the first parameter value and the second parameter value in the environment parameters;

A calculation module, configured to calculate the environmental parameter weight according to the first parameter value and the second parameter value;

A judging module, configured to judge whether the environmental parameter weight is within a preset range;

A determining module, configured to determine the current unlocking mode according to the parameter types of the first parameter and the second parameter when the environmental parameter weight is within the preset range.

An embodiment of the present invention also provides a storage medium, wherein a plurality of instructions are stored in the storage medium, and the instructions are suitable to be loaded by a processor to execute the above-mentioned method for determining an unlocking mode.

An embodiment of the present invention also provides a terminal, including a processor and a memory, where a plurality of instructions are stored in the memory, and the processor loads the instructions to execute the above-mentioned method for determining an unlocking mode.

The method for determining the unlocking mode provided by the embodiment of the present invention is to obtain the first parameter value and the second parameter value in the environmental parameters; calculate the environmental parameter weight according to the first parameter value and the second parameter value; judge the environmental parameter weight Whether it is within the preset range; when the environmental parameter weight is within the preset range, the current unlocking mode is determined according to the parameter types of the first parameter and the second parameter. In this solution, when the calculated environmental parameter weight is within the preset range, the terminal determines the current unlocking mode of the terminal according to the parameter types of the first parameter and the second parameter, thereby reducing the impact of the environmental parameter on the unlocking accuracy. The impact can improve the success rate of unlocking the terminal, thereby improving the convenience of the terminal.

Description of drawings

In order to illustrate the technical solutions in the embodiments of the present invention more clearly, the following will briefly introduce the drawings that need to be used in the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to these drawings without creative work.

FIG. 1 is a schematic diagram of a state of a lock screen interface of a terminal.

Fig. 2 is a schematic flowchart of a method for determining an unlocking mode provided by an embodiment of the present invention.

Fig. 3 is another schematic flowchart of a method for determining an unlocking mode provided by an embodiment of the present invention.

Fig. 4 is another schematic flowchart of the method for determining an unlocking mode provided by an embodiment of the present invention.

Fig. 5 is a schematic diagram of an application scenario of a method for determining an unlocking mode provided by an embodiment of the present invention.

Fig. 6 is a schematic diagram of another application scenario of the method for determining an unlocking method provided by an embodiment of the present invention.

Fig. 7 is a schematic diagram of another application scenario of the method for determining an unlocking mode provided by an embodiment of the present invention.

Fig. 8 is a schematic structural diagram of a device for determining an unlocking mode provided by an embodiment of the present invention.

Fig. 9 is another structural schematic diagram of the device for determining an unlocking mode provided by an embodiment of the present invention.

Fig. 10 is another schematic structural diagram of the device for determining an unlocking mode provided by an embodiment of the present invention.

FIG. 11 is a schematic structural diagram of a terminal provided by an embodiment of the present invention.

Fig. 12 is another schematic structural diagram of a terminal provided by an embodiment of the present invention.

detailed description

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Apparently, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts belong to the protection scope of the present invention.

The terms "first", "second", "third", etc. (if any) in the description and claims of the present invention and the above drawings are used to distinguish similar objects and not necessarily to describe a specific order or sequentially. It should be understood that the items so described are interchangeable under appropriate circumstances. Furthermore, the terms "comprising" and "having", as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, a method comprising a series of steps, or a device, a terminal, a system comprising a series of modules or units are not necessarily limited to those steps or modules or units clearly listed, and may also include steps or units not clearly listed. A module or unit may also include other steps or modules or units inherent to these processes, methods, apparatuses, terminals or systems.

Referring to FIG. 1 , FIG. 1 is a schematic diagram of a state of a lock screen interface of a terminal. When the user enters the terminal system, the terminal will first display the lock screen interface. Wherein, the terminal has a fingerprint identification module for collecting fingerprint information of the user. When the fingerprint information input by the user matches the fingerprint information pre-stored in the terminal, the user identity verification is passed. At this point, the terminal is unlocked and enters the unlocked interface. The interface entered after the terminal is unlocked may be the main interface of the terminal (that is, the desktop of the terminal), or may be an application program interface.

An embodiment of the present invention provides a method for determining an unlocking method, which can be applied to a terminal. The terminal may be a device such as a smart phone or a tablet computer. As shown in Figure 2, the method for determining the unlocking method may include the following steps:

S110. Acquire a first parameter value and a second parameter value in the environmental parameters.

Wherein, the terminal has multiple unlocking methods. For example, the terminal may include unlocking methods such as fingerprint unlocking, iris unlocking, and voiceprint unlocking.

In the fingerprint unlocking mode, the terminal collects the user's fingerprint information. When the fingerprint information matches the preset fingerprint information, the terminal is unlocked. Wherein, the preset fingerprint information may be the fingerprint information of the owner of the terminal (that is, the owner of the terminal) collected in advance by the terminal.

In the iris unlock mode, the terminal collects the user's iris information. When the iris information matches the preset iris information, the terminal is unlocked. Wherein, the preset iris information may be the iris information of the device owner collected by the terminal in advance.

In the voiceprint unlocking method, the terminal collects the user's voiceprint information. When the voiceprint information matches the preset voiceprint information, the terminal is unlocked. Wherein, the preset voiceprint information may be the voiceprint information of the phone owner collected in advance by the terminal.

When the user triggers an unlocking operation of the terminal, for example, when the terminal turns on the screen, the terminal may acquire the first parameter value and the second parameter value in the environmental parameters. Wherein, the first parameter and the second parameter may be parameters that affect the accuracy of terminal unlocking.

In some embodiments, the environmental parameters may include parameters such as ambient temperature, concentration of fine particulate matter (PM2.5), ambient light intensity, ambient noise, and distance between the terminal and the user. The terminal can collect the above-mentioned multiple environmental parameters in real time, and sequentially acquire two parameters from the multiple collected environmental parameters for processing.

For fingerprint unlocking, when the ambient temperature is too high, the user's hands may sweat, which affects the accuracy of fingerprint recognition. When the concentration of fine particles is too high, the user's fingers will be contaminated with fine particles, which will also affect the accuracy of fingerprint recognition. Thus, the first parameter and the second parameter may be temperature and fine particle concentration.

For iris unlocking, when the ambient light intensity is insufficient, for example, at night, when the camera in the terminal collects the user's iris information, the collection may be inaccurate. When the distance between the terminal and the user is too far, the iris information of the user collected by the camera may also be inaccurately collected. Therefore, the first parameter and the second parameter may be the ambient light intensity and the distance between the terminal and the user.

For voiceprint unlocking, when the ambient noise is too high, the user's voice is mixed with the ambient noise, and the terminal may not collect the user's voiceprint information accurately. When the distance between the terminal and the user is too far, the voice emitted by the user will be weakened when it reaches the terminal, which will also affect the accuracy of the terminal to collect the user's voiceprint information. Therefore, the first parameter and the second parameter may be ambient noise and the distance between the terminal and the user.

S120. Calculate an environmental parameter weight according to the first parameter value and the second parameter value.

Wherein, after acquiring the first parameter value and the second parameter value, the terminal calculates the weight value of the environment parameter according to the first parameter value and the second parameter value based on a preset algorithm. The environmental parameter weight may be a numerical value. The environmental parameter weight is used to determine the current unlocking mode of the terminal.

S130, judging whether the environmental parameter weight is within a preset range.

Wherein, the preset range may be a numerical range preset for the environmental parameter weight. The preset range can be stored in the terminal in advance. After the terminal calculates the environmental parameter weight, it compares the environmental parameter weight with the numerical endpoint of the preset range to determine whether the environmental parameter weight is within the preset range.

S140, when the environmental parameter weight is within the preset range, determine the current unlocking mode according to the parameter types of the first parameter and the second parameter.

When the terminal determines that the environmental parameter weight is within the preset range, it determines the current unlocking mode according to the parameter types of the first parameter and the second parameter. After the terminal determines the current unlocking method, it can collect the user's identity verification information according to the current unlocking method to verify the user's identity. Wherein, the parameter type may be types such as ambient temperature, concentration of fine particles, ambient light intensity, ambient noise, and distance between the terminal and the user.

When the terminal determines that the environmental parameter weight is not within the preset range, the terminal may terminate this process, or restart this process.

In some embodiments, as shown in FIG. 3, step S120, calculating the environmental parameter weight according to the first parameter value and the second parameter value, includes the following steps:

S121. Perform normalization processing on the first parameter value to obtain a first normalized parameter value;

S122. Perform normalization processing on the second parameter value to obtain a second normalized parameter value;

S123. Calculate an environment parameter weight according to the first normalized parameter value and the second normalized parameter value.

Among them, normalization is a way to simplify calculations, that is, the expressions with dimensions are transformed into non-dimensional expressions and become scalars. After acquiring the first parameter value and the second parameter value, the terminal may perform normalization processing on the first parameter value and the second parameter value respectively, so as to obtain the first normalized parameter value and the second normalized parameter value respectively. parameter value.

Subsequently, the terminal calculates the environmental parameter weight according to the first normalized parameter value and the second normalized parameter value.

In some embodiments, in step S121, performing normalization processing on the first parameter value to obtain the first normalized parameter value, the terminal may perform normalization processing on the first parameter value according to the following formula:

Wherein, W ₁ is the first normalized parameter value, P is the first parameter value, and P ₀ is the first preset parameter value. The first preset parameter value may be a parameter value preset in the terminal. For different parameter types, the numerical value of the first preset parameter value may be different.

For example, when the first parameter is ambient temperature, the first preset parameter value P ₀ may be 25 degrees Celsius (°C, hereinafter referred to as degree). For example, if the first parameter value P=30°C, W ₁ =1.2 can be calculated.

In some embodiments, when step S122, performing normalization processing on the second parameter value to obtain the second normalized parameter value, the terminal may perform normalization processing on the second parameter value according to the following formula:

Wherein, W ₂ is the second normalized parameter value, Q is the second parameter value, and Q ₀ is the second preset parameter value. The second preset parameter value may be a parameter value preset in the terminal. For different parameter types, the value of the second preset parameter value may be different.

For example, when the second parameter is the concentration of fine particles, the second preset parameter value Q ₀ may be 50 micrograms per cubic meter (μg/m ³ ). For example, if the second parameter value Q=100 μg/m ³ , then W ₂ =2 can be calculated.

In some embodiments, as shown in FIG. 4, step S123, calculating the environmental parameter weight according to the first normalized parameter value and the second normalized parameter value, includes the following steps:

S1231. Acquire a first weight value corresponding to the first normalization parameter value and a second weight value corresponding to the second normalization parameter value;

S1232. Calculate an environmental parameter weight according to the first normalized parameter value, the first weight value, the second normalized parameter value, and the second weight value.

Wherein, the corresponding relationship between the parameter type and the weight value of the parameter type may be stored in advance in the terminal. After obtaining the first normalized parameter value and the second normalized parameter value, the terminal may obtain the first normalized parameter value according to the parameter type of the first normalized parameter value, the second normalized parameter value, and the corresponding relationship. The first weight value corresponding to the normalized parameter value and the second weight value corresponding to the second normalized parameter value.

For example, the above correspondence may be the correspondence shown in Table 1.

Table 1

After acquiring the first weight value and the second weight value, the terminal can calculate the environment parameter weight value according to the first normalized parameter value, the first weight value, the second normalized parameter value and the second weight value.

Wherein, the terminal may collect multiple pieces of information when the terminal is successfully unlocked. For example, the unlocking method adopted when the terminal is unlocked, and the real-time environmental parameters affecting the unlocking method are collected. And learn from the collected information to continuously adjust the weight values corresponding to various types of environmental parameters, so that the weight values of the environmental parameters calculated by the obtained weight values are more consistent with the actual environmental conditions. match, thereby improving the success rate of terminal unlocking.

In some embodiments, in step S1232, the environment parameter weight is calculated according to the first normalized parameter value, the first weight value, the second normalized parameter value and the second weight value, and the terminal can calculate the environment parameter according to the following formula Parameter weight:

W＝W ₁ ×R ₁ +W ₂ ×R ₂

Wherein, W is the environmental parameter weight, W ₁ is the first normalized parameter value, R ₁ is the first weight value, W ₂ is the second normalized parameter value, and R ₂ is the second weight value.

For example, if the first parameter is the ambient temperature and the second parameter is the concentration of fine particulate matter, then the first weight value R ₁ is 0.6, and the second weight value R ₂ is 0.4. For example, if the first normalized parameter value W ₁ =1.2 and the second normalized parameter value W ₂ =2, then W=1.2×0.6+2×0.4=1.52 can be calculated.

In some embodiments, as shown in FIG. 3, before step S110, acquiring the first parameter value and the second parameter value in the environmental parameters, the method for determining the unlocking method may further include the following steps:

S150, setting a mapping relationship between parameter types and unlocking methods;

Step S140, when the environmental parameter weight is within the preset range, determine the current unlocking mode according to the parameter types of the first parameter and the second parameter, including the following steps:

S141. When the environmental parameter weight is within the preset range, determine the current unlocking mode according to the parameter types of the first parameter and the second parameter and the mapping relationship.

Wherein, the mapping relationship between the parameter type and the unlocking mode can be preset in the terminal. Users can also modify the mapping relationship. The terminal receives and stores the mapping relationship between the parameter type input by the user and the unlocking mode.

For example, the mapping relationship may be the mapping relationship shown in Table 2.

Table 2

When the terminal determines that the environmental parameter weight is within a preset range, the terminal may determine the current unlocking mode according to the parameter types of the first parameter and the second parameter and the mapping relationship.

For example, the preset range is (0.5, 2). When the environmental parameter weight calculated by the terminal is within the preset range, the terminal determines the current unlocking mode according to the parameter types of the first parameter and the second parameter and the mapping relationship. After the current unlocking mode is determined, the terminal can start the corresponding unlocking mode to collect the user's identity verification information and verify the user's identity.

For example, when the first parameter and the second parameter are ambient temperature and fine particle concentration respectively, the terminal may determine that the current unlocking method is fingerprint unlocking. Then, the terminal enters the fingerprint unlocking interface, as shown in Figure 5. At this time, the terminal collects the fingerprint information of the user through the fingerprint module, and identifies the collected fingerprint information.

When the first parameter and the second parameter are respectively the ambient light intensity and the distance between the terminal and the user, the terminal may determine that the current unlocking method is iris unlocking. Subsequently, the terminal enters the iris unlock interface, as shown in Figure 6. At this time, the terminal collects iris information of the user through the iris camera, and recognizes the collected iris information.

When the first parameter and the second parameter are respectively the ambient noise and the distance between the terminal and the user, the terminal may determine that the current unlocking method is voiceprint unlocking. Then, the terminal enters the voiceprint unlocking interface, as shown in Figure 7. At this time, the terminal collects the voiceprint information of the user through the microphone, and recognizes the voiceprint information.

During specific implementation, the present invention is not limited by the execution order of the described steps, and some steps may be performed in other orders or simultaneously if no conflict arises.

It can be seen from the above that the method for determining the unlocking mode provided by the embodiment of the present invention obtains the first parameter value and the second parameter value in the environmental parameters; calculates the environmental parameter weight according to the first parameter value and the second parameter value; judges the Whether the environmental parameter weight is within the preset range; when the environmental parameter weight is within the preset range, the current unlocking mode is determined according to the parameter types of the first parameter and the second parameter. In this solution, when the calculated environmental parameter weight is within the preset range, the terminal determines the current unlocking mode of the terminal according to the parameter types of the first parameter and the second parameter, thereby reducing the impact of the environmental parameter on the unlocking accuracy. The impact can improve the success rate of unlocking the terminal, thereby improving the convenience of the terminal.

The embodiment of the present invention also provides a device for determining an unlocking method, and the device can be integrated in a terminal, which can be a smart phone, a tablet computer or other devices.

As shown in FIG. 8 , the device 200 for determining an unlocking method may include: an acquiring module 201 , a calculating module 202 , a judging module 203 and a determining module 204 .

The acquisition module 201 is configured to acquire the first parameter value and the second parameter value in the environmental parameters.

Wherein, the terminal has multiple unlocking methods. For example, the terminal may include unlocking methods such as fingerprint unlocking, iris unlocking, and voiceprint unlocking.

In the fingerprint unlocking mode, the terminal collects the user's fingerprint information. When the fingerprint information matches the preset fingerprint information, the terminal is unlocked. Wherein, the preset fingerprint information may be the fingerprint information of the owner of the terminal (that is, the owner of the terminal) collected in advance by the terminal.

In the iris unlock mode, the terminal collects the user's iris information. When the iris information matches the preset iris information, the terminal is unlocked. Wherein, the preset iris information may be the iris information of the device owner collected by the terminal in advance.

In the voiceprint unlocking method, the terminal collects the user's voiceprint information. When the voiceprint information matches the preset voiceprint information, the terminal is unlocked. Wherein, the preset voiceprint information may be the voiceprint information of the phone owner collected in advance by the terminal.

When the user triggers an unlocking operation of the terminal, for example, when the terminal turns on the screen, the obtaining module 201 may obtain the first parameter value and the second parameter value in the environmental parameters. Wherein, the first parameter and the second parameter may be parameters that affect the accuracy of terminal unlocking.

In some embodiments, the environmental parameters may include parameters such as ambient temperature, concentration of fine particulate matter (PM2.5), ambient light intensity, ambient noise, and distance between the terminal and the user. The terminal can collect the above-mentioned multiple environmental parameters in real time, and the obtaining module 201 sequentially obtains two parameters from the multiple collected environmental parameters for processing.

For fingerprint unlocking, when the ambient temperature is too high, the user's hands may sweat, which affects the accuracy of fingerprint recognition. When the concentration of fine particles is too high, the user's fingers will be contaminated with fine particles, which will also affect the accuracy of fingerprint identification. Thus, the first parameter and the second parameter may be temperature and fine particle concentration.

For iris unlocking, when the ambient light intensity is insufficient, for example, at night, when the camera in the terminal collects the user's iris information, the collection may be inaccurate. When the distance between the terminal and the user is too far, the iris information of the user collected by the camera may also be inaccurately collected. Therefore, the first parameter and the second parameter may be the ambient light intensity and the distance between the terminal and the user.

For voiceprint unlocking, when the ambient noise is too high, the user's voice is mixed with the ambient noise, and the terminal may not collect the user's voiceprint information accurately. When the distance between the terminal and the user is too far, the voice emitted by the user will be weakened when it reaches the terminal, which will also affect the accuracy of the terminal to collect the user's voiceprint information. Therefore, the first parameter and the second parameter may be ambient noise and the distance between the terminal and the user.

The calculation module 202 is configured to calculate the environment parameter weight according to the first parameter value and the second parameter value.

Wherein, after the acquisition module 201 acquires the first parameter value and the second parameter value, the calculation module 202 calculates the environment parameter weight value based on the first parameter value and the second parameter value based on a preset algorithm. The environmental parameter weight may be a numerical value. The environmental parameter weight is used to determine the current unlocking mode of the terminal.

A judging module 203, configured to judge whether the environmental parameter weight is within a preset range.

Wherein, the preset range may be a numerical range preset for the environmental parameter weight. The preset range can be stored in the terminal in advance. After the calculation module 202 calculates the environmental parameter weight, the judging module 203 compares the environmental parameter weight with the numerical endpoint of the preset range to determine whether the environmental parameter weight is within the preset range.

The determination module 204 is configured to determine the current unlocking mode according to the parameter types of the first parameter and the second parameter when the environmental parameter weight is within the preset range.

When the judging module 203 judges that the environmental parameter weight is within the preset range, the determining module 204 determines the current unlocking mode according to the parameter types of the first parameter and the second parameter. After the determination module 204 determines the current unlocking mode, the terminal can collect the user's identity verification information according to the current unlocking mode to verify the user's identity. Wherein, the parameter type may be types such as ambient temperature, concentration of fine particles, ambient light intensity, ambient noise, and distance between the terminal and the user.

When the judging module 203 judges that the environmental parameter weight is not within the preset range, the terminal may terminate this process, or restart this process.

In some embodiments, as shown in FIG. 9 , the calculation module 202 includes: a first processing submodule 2021 , a second processing submodule 2022 , and a calculation submodule 2023 .

The first processing sub-module 2021 is configured to perform normalization processing on the first parameter value to obtain a first normalized parameter value;

The second processing sub-module 2022 is configured to perform normalization processing on the second parameter value to obtain a second normalized parameter value;

Calculation sub-module 2023, configured to calculate the environmental parameter weight according to the first normalized parameter value and the second normalized parameter value.

Among them, normalization is a way to simplify calculations, that is, the expressions with dimensions are transformed into non-dimensional expressions and become scalars. After the acquisition module 201 acquires the first parameter value and the second parameter value, the first processing submodule 2021 and the second processing submodule 2022 can perform normalization processing on the first parameter value and the second parameter value respectively, so as to The first normalized parameter value and the second normalized parameter value are respectively obtained.

Subsequently, the calculation submodule 2023 calculates the environment parameter weight according to the first normalized parameter value and the second normalized parameter value.

In some embodiments, the first processing submodule 2021 performs normalization processing on the first parameter value according to the following formula:

Wherein, W ₁ is the first normalized parameter value, P is the first parameter value, and P ₀ is the first preset parameter value. The first preset parameter value may be a parameter value preset in the terminal. For different parameter types, the numerical value of the first preset parameter value may be different.

For example, when the first parameter is ambient temperature, the first preset parameter value P ₀ may be 25 degrees Celsius (°C, hereinafter referred to as degree). For example, if the first parameter value P=30°C, W ₁ =1.2 can be calculated.

In some embodiments, the second processing submodule 2022 performs normalization processing on the second parameter value according to the following formula:

Wherein, W ₂ is the second normalized parameter value, Q is the second parameter value, and Q ₀ is the second preset parameter value. The second preset parameter value may be a parameter value preset in the terminal. For different parameter types, the value of the second preset parameter value may be different.

For example, when the second parameter is the concentration of fine particles, the second preset parameter value Q ₀ may be 50 micrograms per cubic meter (μg/m ³ ). For example, if the second parameter value Q=100 μg/m ³ , then W ₂ =2 can be calculated.

In some embodiments, the calculation sub-module 2023 is used to perform the following steps:

Obtain a first weight value corresponding to the first normalization parameter value and a second weight value corresponding to the second normalization parameter value;

The environment parameter weight is calculated according to the first normalized parameter value, the first weight value, the second normalized parameter value and the second weight value.

Wherein, the corresponding relationship between the parameter type and the weight value of the parameter type may be stored in advance in the terminal. After the first processing sub-module 2021 and the second processing sub-module 2022 obtain the first normalization parameter value and the second normalization parameter value respectively, the calculation sub-module 2023 can The first weight value corresponding to the first normalization parameter value and the second weight value corresponding to the second normalization parameter value are obtained by normalizing the parameter type of the parameter value and the corresponding relationship.

For example, the above correspondence may be the correspondence shown in Table 3.

table 3

After the calculation sub-module 2023 obtains the first weight value and the second weight value, it can calculate the environmental parameter weight according to the first normalized parameter value, the first weight value, the second normalized parameter value and the second weight value. value.

Wherein, the terminal may collect multiple pieces of information when the terminal is successfully unlocked. For example, the unlocking method adopted when the terminal is unlocked, and the real-time environmental parameters affecting the unlocking method are collected. And learn from the collected information to continuously adjust the weight values corresponding to various types of environmental parameters, so that the weight values of the environmental parameters calculated by the obtained weight values are more consistent with the actual environmental conditions. match, thereby improving the success rate of terminal unlocking.

In some embodiments, the calculation submodule 2023 calculates the environmental parameter weight according to the following formula:

W＝W ₁ ×R ₁ +W ₂ ×R ₂

Wherein, W is the environmental parameter weight, W ₁ is the first normalized parameter value, R ₁ is the first weight value, W ₂ is the second normalized parameter value, and R ₂ is the second weight value.

For example, if the first parameter is the ambient temperature and the second parameter is the concentration of fine particulate matter, then the first weight value R ₁ is 0.6, and the second weight value R ₂ is 0.4. For example, if the first normalized parameter value W ₁ =1.2 and the second normalized parameter value W ₂ =2, then W=1.2×0.6+2×0.4=1.52 can be calculated.

In some embodiments, as shown in FIG. 10 , the device 200 for determining an unlocking method further includes: a setting module 205 .

The setting module 205 is used to set the mapping relationship between the parameter type and the unlocking mode;

The determination module 204 is configured to determine the current unlocking mode according to the parameter types of the first parameter and the second parameter and the mapping relationship when the environmental parameter weight is within the preset range.

Wherein, the mapping relationship between the parameter type and the unlocking mode can be preset in the terminal. Users can also modify the mapping relationship. The setting module 205 receives and stores the mapping relationship between the parameter type and the unlocking mode input by the user.

For example, the mapping relationship may be the mapping relationship shown in Table 4.

Table 4

When the judging module 203 judges that the environmental parameter weight is within a preset range, the determining module 204 can determine the current unlocking method according to the parameter types of the first parameter and the second parameter and the mapping relationship.

For example, the preset range is (0.5, 2). When the environmental parameter weight calculated by the calculation module 202 is within the preset range, the determination module 204 determines the current unlocking method according to the parameter types of the first parameter and the second parameter and the mapping relationship. After the current unlocking mode is determined, the terminal can start the corresponding unlocking mode to collect the user's identity verification information and verify the user's identity.

For example, when the first parameter and the second parameter are ambient temperature and fine particle concentration respectively, the determining module 204 may determine that the current unlocking method is fingerprint unlocking. Then, the terminal enters the fingerprint unlocking interface. At this time, the terminal collects the fingerprint information of the user through the fingerprint module, and identifies the collected fingerprint information.

When the first parameter and the second parameter are respectively the ambient light intensity and the distance between the terminal and the user, the determining module 204 may determine that the current unlocking method is iris unlocking. Then, the terminal enters the iris unlock interface. At this time, the terminal collects iris information of the user through the iris camera, and recognizes the collected iris information.

When the first parameter and the second parameter are respectively the ambient noise and the distance between the terminal and the user, the determining module 204 may determine that the current unlocking method is voiceprint unlocking. Then, the terminal enters the voiceprint unlocking interface. At this time, the terminal collects the voiceprint information of the user through the microphone, and recognizes the voiceprint information.

During specific implementation, each of the above modules may be implemented as an independent entity, or may be combined arbitrarily to be implemented as the same or several entities.

It can be seen from the above that the device 200 for determining the unlocking method provided by the embodiment of the present invention obtains the first parameter value and the second parameter value in the environmental parameters through the acquisition module 201; Calculate the environmental parameter weight; the judging module 203 judges whether the environmental parameter weight is in the preset range; when the environmental parameter weight is in the preset range, the determining module 204 determines according to the parameter types of the first parameter and the second parameter The current unlock method. In this solution, when the calculated environmental parameter weight is within the preset range, the terminal determines the current unlocking mode of the terminal according to the parameter types of the first parameter and the second parameter, thereby reducing the impact of the environmental parameter on the unlocking accuracy. The impact can improve the success rate of unlocking the terminal, thereby improving the convenience of the terminal.

The embodiment of the present invention also provides a terminal. The terminal may be a device such as a smart phone or a tablet computer. As shown in FIG. 11 , a terminal 300 includes a processor 301 and a memory 302 . Wherein, the processor 301 is electrically connected with the memory 302 .

The processor 301 is the control center of the terminal 300. It uses various interfaces and lines to connect various parts of the entire terminal. By running or loading the application programs stored in the memory 302 and calling the data stored in the memory 302, various functions of the terminal are executed. Various functions and processing data, so as to monitor the terminal as a whole.

In this embodiment, the processor 301 in the terminal 300 will follow the steps below to load the instructions corresponding to the processes of one or more application programs into the memory 302, and run them by the processor 301 and store them in the memory 302. applications to achieve various functions:

Obtain the first parameter value and the second parameter value in the environment parameter;

calculating environmental parameter weights according to the first parameter value and the second parameter value;

judging whether the environmental parameter weight is within a preset range;

If the environmental parameter weight is within the preset range, then determine the current unlocking mode according to the parameter types of the first parameter and the second parameter.

In some embodiments, when calculating the environmental parameter weight according to the first parameter value and the second parameter value, the processor 301 performs the following steps:

performing normalization processing on the first parameter value to obtain a first normalized parameter value;

performing normalization processing on the second parameter value to obtain a second normalized parameter value;

An environmental parameter weight is calculated according to the first normalized parameter value and the second normalized parameter value.

In some embodiments, the processor 301 calculates the first normalized parameter value according to the following formula:

Wherein, W ₁ is the first normalized parameter value, P is the first parameter value, and P ₀ is the first preset parameter value.

In some embodiments, when calculating the environmental parameter weight according to the first normalized parameter value and the second normalized parameter value, the processor 301 performs the following steps:

Obtaining a first weight value corresponding to the first normalization parameter value and a second weight value corresponding to the second normalization parameter value;

The environmental parameter weight is calculated according to the first normalized parameter value, the first weight value, the second normalized parameter value and the second weight value.

In some embodiments, the processor 301 calculates the environmental parameter weight according to the following formula:

W＝W ₁ ×R ₁ +W ₂ ×R ₂

Wherein, W is the environmental parameter weight, W ₁ is the first normalized parameter value, R ₁ is the first weight value, W ₂ is the second normalized parameter value, and R ₂ is the second weight value.

In some embodiments, before obtaining the first parameter value and the second parameter value in the environmental parameters, the processor 301 further performs the following steps:

Set the mapping relationship between parameter types and unlocking methods;

If the environmental parameter weight is within the preset range, when determining the current unlocking mode according to the parameter types of the first parameter and the second parameter, the processor 301 performs the following steps:

If the environmental parameter weight is within the preset range, the current unlocking mode is determined according to the parameter types of the first parameter and the second parameter and the mapping relationship.

Memory 302 may be used to store applications and data. The application programs stored in the memory 302 include instructions executable by the processor. Applications can be composed of various functional modules. The processor 301 executes various functional applications and data processing by running the application programs stored in the memory 302 .

In some embodiments, as shown in FIG. 12 , the terminal 300 further includes: a fingerprint module 303 , a display screen 304 , a microphone 305 , an input unit 306 , a camera 307 , a sensor 308 and a power supply 309 . Wherein, the processor 301 is electrically connected to the fingerprint module 303 , the display screen 304 , the microphone 305 , the input unit 306 , the camera 307 , the sensor 308 and the power supply 309 .

The fingerprint module 303 is used to collect the fingerprint information of the user to identify the identity of the user.

The display screen 304 may be used to display information input by or provided to the user and various graphical user interfaces of the terminal. These graphical user interfaces may be composed of images, texts, icons, videos and any combination thereof.

The microphone 305 is used to collect sound signals. In some embodiments, the microphone 305 can be used to collect voiceprint information of the user.

The input unit 306 can be used to receive input numbers, character information or user characteristic information (such as fingerprints), and generate keyboard, mouse, joystick, optical or trackball signal input related to user settings and function control. Wherein, the input unit 306 may include a fingerprint identification module.

The camera 307 is used to collect external image signals. In some embodiments, the camera 307 is an iris camera, which can be used to collect user's iris information.

The sensor 308 is used to collect external environment information. In some embodiments, the sensor 308 may include various sensors such as an ambient brightness sensor, a temperature sensor, a fine particle concentration sensor, and a distance sensor.

The power supply 309 is used to supply power to various components of the terminal 300 . In some embodiments, the power supply 309 may be logically connected to the processor 301 through a power management system, so as to implement functions such as managing charging, discharging, and power consumption through the power management system.

Although not shown in FIG. 12 , the terminal 300 may also include a radio frequency module, a Bluetooth module, etc., which will not be repeated here.

It can be seen from the above that the embodiment of the present invention provides a terminal, the terminal obtains the first parameter value and the second parameter value in the environmental parameters; calculates the environmental parameter weight according to the first parameter value and the second parameter value; judges the Whether the environmental parameter weight is within the preset range; when the environmental parameter weight is within the preset range, the current unlocking mode is determined according to the parameter types of the first parameter and the second parameter. In this solution, when the calculated environmental parameter weight is within the preset range, the terminal determines the current unlocking mode of the terminal according to the parameter types of the first parameter and the second parameter, thereby reducing the impact of the environmental parameter on the unlocking accuracy. The impact can improve the success rate of unlocking the terminal, thereby improving the convenience of the terminal.

An embodiment of the present invention also provides a storage medium, in which a plurality of instructions are stored, and the instructions are suitable for being loaded by a processor to execute the method for determining an unlocking method described in any of the above-mentioned embodiments.

It should be noted that those skilled in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium. The storage medium may include but not limited to: a read only memory (ROM, Read Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and the like.

The method, device, storage medium, and terminal for determining the unlocking method provided by the embodiments of the present invention are described above in detail. In this paper, specific examples are used to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used To help understand the method of the present invention and its core idea; at the same time, for those skilled in the art, according to the idea of the present invention, there will be changes in the specific implementation and scope of application. In summary, the content of this specification It should not be construed as a limitation of the invention.

Claims (10)

1. a kind of method for determining unlocking manner, it is characterised in that including：

Obtain the first parameter value and the second parameter value in ambient parameter；

According to first parameter value and the second parameter value calculation ambient parameter weights；

Judge whether the ambient parameter weights are in preset range；

If the ambient parameter weights are in the preset range, determined according to the parameter type of the first parameter and the second parameter Current unlocking manner.

2. the method for unlocking manner is determined according to claim 1, it is characterised in that according to first parameter value and the Two parameter value calculation ambient parameter weights, including：

First parameter value is normalized, to obtain the first normalized parameter value；

Second parameter value is normalized, to obtain the second normalized parameter value；

According to the first normalized parameter value and the second normalized parameter value computing environment parameter weights.

3. the method for unlocking manner is determined according to claim 2, it is characterised in that joined according to below equation to described first Numerical value is normalized, to obtain the first normalized parameter value：

<mrow> <msub> <mi>W</mi> <mn>1</mn> </msub> <mo>=</mo> <mfrac> <mi>P</mi> <msub> <mi>P</mi> <mn>0</mn> </msub> </mfrac> </mrow>

Wherein, W₁For the first normalized parameter value, P is the first parameter value, P₀For the first preset parameter value.

4. the method for unlocking manner is determined according to claim 2, it is characterised in that according to the first normalized parameter value And the second normalized parameter value computing environment parameter weights, including：

Obtain corresponding first weighted value of the first normalized parameter value and the second normalized parameter value corresponding Two weighted values；

Ring is calculated according to the first normalized parameter value, the first weighted value, the second normalized parameter value and the second weighted value Border parameter weights.

5. the method for unlocking manner is determined according to claim 4, it is characterised in that according to below equation computing environment parameter Weights：

W=W₁×R₁+W₂×R₂

Wherein, W is ambient parameter weights, W₁For the first normalized parameter value, R₁For the first weighted value, W₂For the second normalization ginseng Numerical value, R₂For the second weighted value.

6. according to any one of claim 1 to 5 method for determining unlocking manner, it is characterised in that obtain in ambient parameter The first parameter value and the second parameter value the step of before, methods described also includes：

Mapping relations between arrange parameter type and unlocking manner；

If the ambient parameter weights are in the preset range, determined according to the parameter type of the first parameter and the second parameter Current unlocking manner, including：

If the ambient parameter weights are in the preset range, according to the parameter type of the first parameter and the second parameter and The mapping relations determine current unlocking manner.

7. a kind of device for determining unlocking manner, it is characterised in that including：

Acquisition module, for obtaining the first parameter value and the second parameter value in ambient parameter；

Computing module, for according to first parameter value and the second parameter value calculation ambient parameter weights；

Judge module, for judging whether the ambient parameter weights are in preset range；

Determining module, for when the ambient parameter weights are in the preset range, according to the first parameter and the second parameter Parameter type determine current unlocking manner.

8. the device of unlocking manner is determined according to claim 7, it is characterised in that the computing module includes：

First processing submodule, for first parameter value to be normalized, to obtain the first normalized parameter value；

Second processing submodule, for second parameter value to be normalized, to obtain the second normalized parameter value；

Calculating sub module, for according to the first normalized parameter value and the second normalized parameter value computing environment ginseng Number weights.

9. a kind of storage medium, it is characterised in that be stored with a plurality of instruction in the storage medium, the instruction is suitable to by handling The method that device loading requires the determination unlocking manner described in 1 to 6 any one with perform claim.

10. be stored with a plurality of instruction in a kind of terminal, it is characterised in that including processor and memory, the memory, described The method that the processor loading instruction requires the determination unlocking manner described in 1 to 6 any one with perform claim.