WO2018082080A1

WO2018082080A1 - Pressure detection method and device

Info

Publication number: WO2018082080A1
Application number: PCT/CN2016/104840
Authority: WO
Inventors: 刘卫芳
Original assignee: 深圳市汇顶科技股份有限公司
Priority date: 2016-11-07
Filing date: 2016-11-07
Publication date: 2018-05-11
Also published as: CN107077279A; CN107077279B

Abstract

A pressure detection method and device. The method comprises: collecting a fingerprint image, recognizing the fingerprint image, and obtaining a pressure level quantization parameter of the fingerprint image (S1); parsing pressing data, and obtaining an object feature value of the pressing data (S2); and computing a pressure level of a press of a finger according to the pressure level quantization parameter and the object feature value (S3). In the method, a collected fingerprint image is recognized, pressing data is parsed, and a pressure level is computed according to a pressure level quantization parameter and an object feature value that are respectively obtained, thereby improving the correctness of pressure level detection, and improving performance of pressure detection and user experience.

Description

Method and device for pressure detection

Technical field

The present application belongs to the technical field of smart terminals, and in particular, to a method and device for pressure detection.

Background technique

Intelligent terminals have the ability to access the Internet, usually equipped with various operating systems, and can customize various functions according to user needs. Smart terminals commonly found in life include mobile smart terminals, in-vehicle smart terminals, smart TVs, wearable devices, and the like. With the development of intelligent terminal technology and the improvement of the convenience of its operational performance, intelligent terminals with pressure detection function are increasingly entering the user's life, such as adding sliding, clicking, etc. on the pressing module. Function, applied to page turning, image zooming and other scenarios. Pressure detection according to the biometric characteristics when the user presses the above pressing module becomes a new research direction, such as fingerprint texture, blood flow, heartbeat intensity, etc., but the biometrics of different users are different, resulting in a large error in the detected pressure level.

For example, when the biometric feature for pressure detection is the fingerprint information of the user, the fingerprint data corresponding to different fingerprints are different under the same pressure due to the difference in the thickness of the stratum corneum of different fingers and the depth of the fingerprint texture. As a result, the detected pressure level error is large, and the user experience of the pressure detection function based on the fingerprint data is poor.

Therefore, how to accurately detect the pressure level has become a technical problem that needs to be solved in the prior art.

Summary of the invention

The present invention provides a method and a device for detecting pressure, which can identify the collected fingerprint image, analyze the pressed data, calculate the pressure level according to the separately obtained pressure level quantization parameter and the object feature value, and improve the pressure. The accuracy of the test.

An embodiment of the present invention provides a method for pressure detection, including: collecting a fingerprint image, identifying the fingerprint image, and obtaining a corresponding pressure level quantization parameter; parsing the pressed data, and acquiring the pressed data The object feature value; calculating a pressure level of the finger press according to the pressure level quantization parameter and the object feature value.

Another embodiment of the present invention provides an electronic device for pressure detection, comprising: a parameter acquisition module, configured to collect a fingerprint image, identify the fingerprint image, and obtain a corresponding pressure level quantization parameter; and the feature value acquisition module uses The pressure data is parsed and the object feature value of the pressed data is acquired; the pressure acquiring module is configured to calculate a pressure level of the finger press according to the pressure level quantization parameter and the object feature value.

A further embodiment of the present application further provides a non-volatile computer storage medium storing computer executable instructions, the computer executable instructions comprising: collecting a fingerprint image, identifying the fingerprint image, and obtaining a corresponding a pressure level quantification parameter; parsing the press data, and acquiring an object feature value of the press data; calculating a pressure level of the finger press according to the pressure level quantization parameter and the object feature value.

A further embodiment of the present application further provides an electronic device comprising: at least one processor; and at least one memory; wherein the at least one memory stores a program executable by the at least one processor, the instruction being Executing, by the at least one processor, the at least one processor is configured to: acquire a fingerprint image, identify the fingerprint image, and obtain a corresponding pressure level quantization parameter; parse the pressed data, and acquire the Determining an object feature value of the pressed data; calculating a pressure level of the finger press based on the pressure level quantization parameter and the object feature value.

DRAWINGS

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings to be used in the embodiments or the prior art description will be briefly described below. Obviously, the drawings in the following description are only It is a certain embodiment of the present application, and other drawings can be obtained according to the drawings without any creative labor for those skilled in the art.

1 is a flow chart of an embodiment of a pressure detecting method of the present application;

2 is a schematic structural diagram of hardware of an embodiment of a pressing module of the present application;

3 is a schematic structural diagram of hardware of another embodiment of a pressing module of the present application;

4 is a flow chart of an embodiment of the step S1 of the pressure detecting method of the present application shown in FIG. 1;

FIG. 5 is a flow chart of an embodiment of a pressure detecting method according to the present application; FIG.

6 is a flow chart of an embodiment of step S3 of the pressure detecting method of the present application shown in FIG. 1;

7 is a schematic structural view of an embodiment of a pressure detecting device of the present application;

8 is a schematic structural view of an embodiment of a parameter acquisition module in the pressure detecting device of the present application shown in FIG. 7;

9 is a schematic structural view of an embodiment of a pressure detecting device of the present application;

10 is a schematic structural view of an embodiment of a pressure acquisition module in a pressure detecting device of the present application;

FIG. 11 is a schematic diagram showing the hardware structure of an electronic device for performing a pressure detecting method according to the present application.

detailed description

The present application identifies the obtained fingerprint image and analyzes the pressed data according to the pressure. The level quantization parameter and the object feature value are calculated to obtain a pressure level. According to different fingerprint images, the present application uses different pressure level quantization parameters in combination with the object feature values to obtain a pressure level, thereby improving the accuracy of the pressure level detection and improving the performance and user experience of the pressure detection.

In order to make the object, the features and the advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the drawings in the embodiments of the present application. The embodiments are only a part of the embodiments of the present application, and not all of them. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present application without departing from the inventive scope are the scope of the present application.

The embodiment of the present application provides a method for pressure detection, which is applied to an intelligent terminal having a pressing module. The smart terminal includes a mobile phone, a notebook, a tablet computer, a POS machine, and a car computer.

Referring to Figure 1, the method includes:

S1: Collect a fingerprint image, identify the fingerprint image, and obtain a corresponding pressure level quantization parameter.

S2. Analyze the pressed data, and acquire an object feature value of the pressed data.

S3. Calculate a pressure level of the finger press according to the pressure level quantization parameter and the object feature value.

According to the recognition result of different fingerprint images, the present application uses different pressure level quantization parameters in combination with the object feature values to obtain a pressure level, thereby improving the accuracy of the pressure level detection and improving the performance and user experience of the pressure detection.

In a specific implementation of the present application, the pressing module may be configured to collect a fingerprint image of the finger and obtain corresponding pressing data when the user presses with a finger thereof. The pressing data includes one or more of fingerprint texture data, blood flow data, and heart rate strength data. The fingerprint texture data may be obtained from the collected fingerprint image when the user presses the pressing module with the finger, that is, the fingerprint texture data may be specifically represented as the fingerprint image; The flow data and the heartbeat intensity data may be obtained by detecting the finger when the finger is pressed to the contact surface of the pressing module.

Specifically, when the user presses the pressing module with different fingers by using the finger, the fingerprint texture of the finger fingerprint image, the blood flow rate and the heartbeat intensity detected by the finger will be different according to the strength of the finger pressing. And the change occurs. Therefore, the fingerprint texture data, the blood flow data, and the heartbeat intensity data can represent a pressure letter that the user presses the pressing module with his finger. Information, that is, the pressure information can be obtained by analyzing the characteristics of the fingerprint texture, blood flow, and heartbeat intensity obtained above.

The pressing module may include a fingerprint collection device and a pressure sensing device for acquiring a fingerprint image and pressing data, respectively.

Specifically, in an embodiment, the fingerprint collection device and the pressure sensing device may be integrally formed (as shown in FIG. 2), such as integrated in the same fingerprint sensor or fingerprint detection module; or, in another In an embodiment, the fingerprint collection device and the pressure sensing device may be two separate functional components formed separately (as shown in FIG. 3).

2 is a schematic diagram of the hardware structure of an embodiment of the pressing module of the present application. The fingerprint collecting device in the pressing module 20 is integrally formed with the pressure sensing device, and the pressing module 20 can be integrated with the integrated fingerprint collecting device and the pressure sensing device. Collect fingerprint images and obtain corresponding press data.

3 is a schematic diagram of a hardware structure of another embodiment of the pressing module of the present application. The fingerprint collecting device and the pressure sensing device of the pressing module 20 are formed separately, wherein the fingerprint collecting device 22 can be used for collecting fingerprint images and pressure sensing devices. 23 can be used to acquire compression data corresponding to the fingerprint image.

In the embodiment of the present application, taking the pressed data as the fingerprint image data as an example, analyzing the fingerprint image collected by the fingerprint collecting device, and obtaining feature data of the fingerprint, such as mean value, peak value, degree of ridge deformation, etc. The feature data is described as the press data.

Taking the blood pressure data as an example, the pressure sensing device may be a blood flow detecting device, and the blood flow detecting device obtains blood flow data when the finger is pressed with different strengths in real time, and the blood flow data is not actual blood flow. Rather, it is a value proportional to the actual blood flow, which can represent the actual blood flow. Blood flow data obtained by the blood flow detecting device is used as the pressing data.

Taking the compression data as the heartbeat intensity as an example, the pressure sensing device may be a pulse detecting device, and the pulse detecting device obtains the heartbeat intensity data generated when the finger is pressed with different strengths in real time. For example, the pulse detecting device can obtain the heartbeat intensity data by the capacitance detecting method, and the method belongs to the prior art, and details are not described herein again. The heartbeat intensity data obtained by the pulse detecting device is used as the pressing data.

Of course, the present application may also use a toe image, or other object image instead of a fingerprint image of a finger, and the specific implementation manner is similar, and details are not described herein again.

Referring to FIG. 4, the step S1 includes:

S11. Collect a fingerprint image.

In this embodiment, the fingerprint image can be acquired by the fingerprint collection device.

S12. Determine whether there is fingerprint image template information matching the fingerprint image in the pre-stored fingerprint image information database.

The fingerprint image information database may pre-store the fingerprint image template information of the registered user, and each fingerprint image template information stores a fingerprint indication value and a pressure level quantization parameter corresponding to the fingerprint indication value.

The fingerprint indication value includes a shape of a fingerprint, a core point, a number of lines, and the like for indicating the identity of the user's finger.

The application obtains the fingerprint indication value of the finger according to the fingerprint image of the finger, and queries the fingerprint image template information in the fingerprint image information database; if there is a fingerprint image value in the fingerprint image template information and the acquired fingerprint image If the fingerprint identification values are the same, it means that there is fingerprint image template information matching the fingerprint image of the finger in the fingerprint image information base.

S13. If yes, read the pressure level quantization parameter from the fingerprint image template information.

If the fingerprint image template information matching the fingerprint image of the finger exists in the fingerprint image information base, the pressure level quantization parameter corresponding to the fingerprint image is read from the fingerprint image template information.

S14. Otherwise, the default value is set to the pressure level quantization parameter.

If the fingerprint image template information matching the fingerprint image of the finger does not exist in the fingerprint image information base, the default value is set as the pressure level quantization parameter. The default values are set by those skilled in the art as needed.

In this embodiment, the fingerprint image of the finger obtained by the pressing module is identified, and according to whether the pre-stored fingerprint image information library has matching image template information, a pressure level quantization parameter corresponding to the fingerprint image is obtained. Therefore, the embodiment can obtain different pressure level quantization parameters according to different fingerprint images.

Referring to FIG. 5, in a specific implementation of the method for pressure detection provided by the present application, before step S11, the method further includes:

S10. Obtain object feature values of at least two groups of consecutive pressed data of the registered user, and relative The maximum amount of change in the baseline feature value.

Specifically, after the user completes the fingerprint template registration of the finger, the pressing module can switch to the pressure detecting mode, and the system prompts the user to press the pressing module from the light to the heavy (ie, the pressing force is small to large) by using the finger. The continuous pressing data is the pressing data obtained by the registered user who continuously collects the pressing module from light to heavy. Taking the fingerprint data as the fingerprint texture data as an example, the fingerprint texture data may be specifically represented as a fingerprint image, and the fingerprint collection device captures a fingerprint image pressed by the user's finger from light to heavy until the finger is raised.

The continuous pressing data of the registered user is valid pressing data, and the pressing data is the fingerprint texture data. For example, in the fingerprint image corresponding to the fingerprint texture data, the fingerprint texture data whose pressing area is greater than a certain threshold is the effective pressing data.

In this step S10, taking the fingerprint data as the fingerprint texture data as an example, the fingerprint texture data may be specifically represented as a fingerprint image. First, the continuously collected user presses the fingerprint image of the pressing module from light to heavy, and calculates the continuous collection. The object feature value of each frame of the fingerprint image in the fingerprint image is obtained as an object feature value {x ₁ , x ₂ , . . . , x _M }, where M is the number of frames of the acquired continuous fingerprint image. The object feature values include one or more of a mean value, a peak value, a ridge deformation degree, and the like that can measure the magnitude of the pressing force.

Further, selecting a feature value of the fingerprint image that is effectively pressed in the first frame as a reference feature value, and calculating a difference between the feature value {x ₁ , x ₂ , . . . , x _M } of each frame of the fingerprint image relative to the reference feature value x ₁ The absolute value of the value, wherein the calculated absolute value of the maximum difference is the maximum change S of the fingerprint image relative to the reference feature value when the pressing force is maximum, and the calculation formula is as follows:

S100. Calculate the pressure level quantization parameter according to the maximum variation amount and a preset pressure level value range.

The set pressure level ranges from [0, N], the range of the change is [0, S], and the mapping function from the maximum change to the pressure level is:

n=f(s,α)

Where n ∈ [0, N] represents the pressure level, s ∈ [0, S] represents the amount of change of the fingerprint image feature value with respect to the reference feature value, represents the pressure level quantization parameter, and f (·) represents the mapping function. (0, α) = 0, f (S, α) = N, and the pressure level quantization parameter α is obtained by calculation.

S1000: Save the pressure level quantization parameter as fingerprint image template information of the registered user into the fingerprint image information base.

In a specific implementation of the present application, the pressure level quantization parameter may be stored in the fingerprint image template information of the registered user according to the fingerprint indication value of the fingerprint image, and pre-stored in the fingerprint image information database. Since the pressure level quantization parameter is stored in the fingerprint image template information based on the fingerprint identification value of the fingerprint image, the pressure level quantization parameter is the fingerprint image in the fingerprint image information database. There is a corresponding relationship between the fingerprint identification values.

Referring to FIG. 6, in a specific implementation of the method for pressure detection provided by the present application, the step S3 includes:

S31. Calculate a change amount of the object feature value relative to the reference feature value.

In this embodiment, the reference feature value is an object feature value x _base corresponding to the first set of valid press data in the continuous press data.

Taking the fingerprint data as the fingerprint texture data as an example, the fingerprint texture data may be specifically represented as a fingerprint image, and the reference feature value may be a fingerprint feature value corresponding to the acquired first frame fingerprint image.

A variation s _curr =|x _curr -xbase of the object feature value x _curr with respect to the reference feature value is calculated.

S32. Quantify the change amount to the pressure level according to the pressure level quantization parameter.

In the present embodiment, the change amount s _{curr of} the object feature value x _curr with respect to the reference feature value is quantized into a pressure level n _curr =f(s _curr , α _curr ) according to the pressure level quantization parameter α _curr , and the output pressure The level calculation result is n _curr .

The embodiment of the present application further provides a device for pressure detection, which is applied to a smart terminal having a pressing module. The smart terminal includes a mobile phone, a notebook, a tablet computer, a POS machine, and a car computer.

Referring to Figure 7, the apparatus includes:

The parameter obtaining module 70 is configured to collect a fingerprint image, identify the fingerprint image, and obtain a corresponding pressure level quantization parameter.

The feature value obtaining module 80 is configured to parse the pressed data and acquire an object feature value of the pressed data.

The pressure acquisition module 90 is configured to calculate a pressure level of the finger press based on the pressure level quantization parameter and the object feature value.

Specifically, when the user presses the pressing module with different fingers by using the finger, the fingerprint texture of the finger fingerprint image, the blood flow rate and the heartbeat intensity detected by the finger will be different according to the strength of the finger pressing. And the change occurs. Therefore, the fingerprint texture data, the blood flow data, and the heartbeat intensity data can represent the pressure information of the user pressing the pressing module with the finger thereof, that is, the fingerprint texture, the blood flow, and the heartbeat can be obtained by analyzing the above obtained fingerprint. The characteristics of the intensity obtain pressure information.

Specifically, in an embodiment, the fingerprint collection device and the pressure sensing device may be integrally formed (as shown in FIG. 2), for example, integrated in the same fingerprint sensor or fingerprint detection module; In an embodiment, the fingerprint collection device and the pressure sensing device may be two separate functional components (as shown in FIG. 3) formed separately or separately.

2 is a schematic diagram of the hardware structure of an embodiment of the pressing module of the present application. The fingerprint collecting device in the pressing module 20 is integrally formed with the pressure sensing device, and the pressing module 20 can be integrated with the integrated fingerprint collecting device and the pressure sensing device. The captured fingerprint image and the corresponding pressed data are obtained.

3 is a schematic diagram of a hardware structure of another embodiment of the pressing module of the present application. The fingerprint collecting device and the pressure sensing device in the pressing module 20 are formed separately, wherein the fingerprint collecting device 22 can be used for collecting fingerprint images and pressure. The sensing device 23 can be configured to acquire and acquire a corresponding image of the fingerprint Press the data.

In the embodiment of the present application, taking the pressing data as fingerprint image data as an example, obtaining a fingerprint image by using the fingerprint collecting device, parsing the fingerprint image, and obtaining feature data of the fingerprint, such as mean value, peak value, and degree of ridge deformation And the feature data is used as the press data.

Referring to FIG. 8, the parameter obtaining module 70 includes:

The fingerprint collection module 71 is configured to collect the fingerprint image;

The fingerprint identification module 72 is configured to determine whether there is fingerprint image template information matching the fingerprint image in the pre-stored fingerprint image information database.

According to the fingerprint image of the finger, the present application obtains the fingerprint indication value of the finger and queries the fingerprint image template information in the fingerprint image information database; if there is a fingerprint image value in the fingerprint image template information and the acquired fingerprint image If the fingerprint indication values are the same, it means that there is fingerprint image template information matching the fingerprint image of the finger in the fingerprint image information base.

The information query module 73 is configured to: when there is matching fingerprint image template information, from the finger The pressure level quantization parameter is read in the pattern image template information.

The default value setting module 74 is configured to set a default value to the pressure level quantization parameter when there is no matching fingerprint image template information.

Referring to FIG. 9, in another implementation of the present application, the apparatus further includes:

The feature value processing module 75 is configured to acquire an object feature value of at least two sets of consecutive press data of the registered user, and a maximum change amount thereof relative to the reference feature value.

Specifically, after the user completes the fingerprint template registration of the finger, the pressing module can switch to the pressure detecting mode, and the system prompts the user to press the pressing module from the light to the heavy (ie, the pressing force is small to large) by using the finger. The continuous pressing data is the pressing data obtained by the registered user who continuously collects the pressing module from light to heavy. Taking the fingerprint data as the fingerprint texture data as an example, the fingerprint texture data is specifically represented as a fingerprint image, and the fingerprint collection device captures a fingerprint image pressed by the user's finger from light to heavy until the finger is raised.

In this module, taking the pressed data as the fingerprint texture data as an example, the fingerprint texture data may be specifically represented as a fingerprint image; first, the continuously collected user presses the fingerprint image of the pressing module from light to heavy, and calculates the continuous collection. The object feature value of each frame of the fingerprint image in the fingerprint image is obtained as an object feature value {x ₁ , x ₂ , . . . , x _M }, where M is the number of frames of the acquired continuous fingerprint image. The object characteristic values include one or more of a mean value, a peak value, a ridge deformation degree, and the like that can measure the magnitude of the pressing force.

Further, selecting a feature value of the fingerprint image that is effectively pressed in the first frame as a reference feature value, and calculating a difference between the feature values {x ₁ , x ₂ , . . . , x _M } of each frame of the fingerprint image relative to the reference feature value. Absolute value, wherein the calculated maximum absolute value of the difference is the maximum change S of the fingerprint image relative to the reference feature value when the pressing force is maximum, and the calculation formula is as follows:

The parameter processing module 76 is configured to calculate the pressure level quantization parameter according to the maximum variation amount and a preset pressure level value range.

n=f(s,α)

Where n ∈ [0, N] represents the pressure level, s ∈ [0, S] represents the amount of change in the fingerprint image feature value relative to the reference feature value, and f (·) represents the mapping function. f(0, α) = 0, f(S, α) = N, and the pressure level quantization parameter α is obtained by calculation.

The information storage module 77 is configured to save the pressure level quantization parameter as fingerprint image template information of the registered user into the fingerprint image information base.

In a specific implementation of the present application, the pressure level quantization parameter may be stored in the fingerprint image template information of the registered user according to the fingerprint indication value of the fingerprint image, and pre-stored in the fingerprint image information database. Since the fingerprint level information is stored in the fingerprint image template information as a basis of the fingerprint image value of the fingerprint image, the pressure level quantization parameter is a fingerprint with the fingerprint image in the fingerprint image information library. There is a corresponding relationship between the marked values.

Referring to FIG. 10, in a specific implementation of the pressure detection provided by the present application, the pressure acquisition module 90 includes:

The change amount acquisition module 91 is configured to calculate a change amount of the object feature value with respect to the reference feature value.

In this embodiment, the reference feature value is an object feature value corresponding to the first group of valid press data in the continuous press data.

Taking the fingerprint data as the fingerprint texture data as an example, the fingerprint texture data may be specifically represented as a fingerprint image, and the reference feature value may be a fingerprint feature value x _base corresponding to the acquired first frame fingerprint image.

A variation s _curr =|x _curr -x _base | of the object feature value x _curr with respect to the reference feature value is calculated.

A pressure calculation module 92 is configured to quantize the amount of change to the pressure level based on the pressure level quantization parameter.

FIG. 11 is a schematic diagram showing the hardware structure of some electronic devices for performing a pressure detecting method according to the present application. According to Figure 11, the device comprises:

One or more processors 1110 and a memory 1120 are illustrated by one processor 1110 in FIG.

The apparatus for performing the seed pressure detecting method may further include: an input device 1130 and an output device 1130.

The processor 1110, the memory 1120, the input device 1130, and the output device 1130 may be connected by a bus or other means, as exemplified by a bus connection in FIG.

The processor 1110 of the embodiment of the present application exists in various forms, including but not limited to:

(1) Chip: It is a carrier of an integrated circuit (IC), for example, a fingerprint chip, which can realize fingerprint collection and fingerprint recognition functions.

(2) Other logical machines that can execute programs, such as a central processing unit in a computer.

The memory 1120 is a non-volatile computer readable storage medium, and can be used for storing a non-volatile software program, a non-volatile computer executable program, and a module, such as a program corresponding to the pressure detecting method in the embodiment of the present application. Instruction/module. The processor 1110 performs various functional applications and data processing of the server by executing non-volatile software programs, instructions, and modules stored in the memory 1120, that is, implementing the pressure detecting method in the above method embodiments.

The memory 1120 may include a storage program area and an storage data area, wherein the storage program area may store an operating system, an application required for at least one function; the storage data area may store data created according to usage of the pressure detecting device, and the like. Moreover, the memory 1120 can include a high speed random access memory 1120, and can also include a non-volatile memory 1120, such as at least one disk storage. 1120 pieces, flash memory devices, or other non-volatile solid state memory 1120 pieces. In some embodiments, the memory 1120 can optionally include a memory 1120 remotely disposed relative to the processor 1110, which can be connected to the medium pressure detecting device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The input device 1130 can receive input numeric or character information and generate key signal inputs related to user settings and function control of the seed pressure detecting device. The input device 1130 can include a device such as a pressing module.

The one or more modules are stored in the memory 1120, and when executed by the one or more processors 1110, perform a pressure detection method in any of the above method embodiments.

The above products can perform the methods provided by the embodiments of the present application, and have the corresponding functional modules and beneficial effects of the execution method. For technical details that are not described in detail in this embodiment, reference may be made to the method provided by the embodiments of the present application.

The electronic device of the embodiment of the present application exists in various forms, including but not limited to:

(1) Mobile communication devices: These devices are characterized by mobile communication functions and are mainly aimed at providing voice and data communication. Such terminals include: smart phones (such as iPhone), multimedia phones, functional phones, and low-end phones.

(2) Ultra-mobile personal computer equipment: This type of equipment belongs to the category of personal computers, has computing and processing functions, and generally has mobile Internet access. Such terminals include: PDAs, MIDs, and UMPC devices, such as the iPad.

(3) Portable entertainment devices: These devices can display and play multimedia content. Such devices include: audio, video players (such as iPod), handheld game consoles, e-books, and smart toys and portable car navigation devices.

(4) Server: A device that provides computing services. The server consists of a processor 1110, a hard disk, a memory, a system bus, etc. The server is similar to a general-purpose computer architecture, but is capable of processing and stable due to the need to provide highly reliable services. Sex, reliability, security, scalability, manageability, etc. are highly demanding.

(5) Other electronic devices with data interaction functions.

The device embodiments described above are merely illustrative, wherein the modules described as separate components may or may not be physically separate, and the components displayed as modules may or may not be physical modules, ie may be located One place, or it can be distributed to multiple networks On the module. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the embodiment. Those of ordinary skill in the art can understand and implement without deliberate labor.

Through the description of the above embodiments, those skilled in the art can clearly understand that the various embodiments can be implemented by means of software plus a necessary general hardware platform, and of course, by hardware. Based on such an understanding, portions of the above technical solutions that contribute substantially or to the prior art may be embodied in the form of a software product that may be stored in a computer readable storage medium, the computer readable record The medium includes any mechanism for storing or transmitting information in a form readable by a computer (eg, a computer). For example, a machine-readable medium includes read only memory (ROM), random access memory (RAM), magnetic disk storage media, optical storage media, flash storage media, electrical, optical, acoustic, or other forms of propagation signals (eg, carrier waves) , an infrared signal, a digital signal, etc., etc., the computer software product comprising instructions for causing a computer device (which may be a personal computer, server, or network device, etc.) to perform the various embodiments or portions of the embodiments described Methods.

Finally, it should be noted that the above embodiments are only used to explain the technical solutions of the embodiments of the present application, and are not limited thereto; although the present application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that The technical solutions described in the foregoing embodiments may be modified, or some of the technical features may be equivalently replaced; and the modifications or substitutions do not deviate from the spirit of the technical solutions of the embodiments of the present application. range.

Claims

A method of pressure detection, comprising:

Collecting a fingerprint image, identifying the fingerprint image, and obtaining a corresponding pressure level quantization parameter thereof;

Parsing the pressed data, and acquiring an object feature value of the pressed data;

A pressure level of the finger press is calculated based on the pressure level quantization parameter and the object feature value.
The method of claim 1 wherein the compression data comprises one or more of fingerprint texture data, blood flow data, and heart rate strength data.
The method according to claim 1, wherein the identifying the fingerprint image and obtaining the corresponding pressure level quantization parameter comprises:

Determining whether there is fingerprint image template information matching the fingerprint image in the pre-stored fingerprint image information database;

If present, reading the pressure level quantization parameter from the fingerprint image template information;

Otherwise, the default value is set to the pressure level quantization parameter.
The method according to claim 1, wherein the acquiring the fingerprint image, identifying the fingerprint image, and obtaining the corresponding pressure level quantization parameter further comprises:

Obtaining an object feature value of at least two sets of consecutive press data of the registered user, and a maximum amount of change thereof relative to the reference feature value;

Calculating the pressure level quantization parameter according to the maximum variation amount and a preset pressure level value range;

The pressure level quantization parameter is saved as fingerprint image template information of the registered user into the fingerprint image information library.
The method according to claim 4, wherein the method is applied to a smart terminal having a pressing module, wherein the continuous pressing data is pressed data of the pressing module that is continuously pressed by the registered user from light to heavy .
The method according to claim 2, wherein the calculating the pressure level of the finger press according to the pressure level quantization parameter and the object feature value comprises:

Calculating a change amount of the object feature value relative to the reference feature value;

The amount of change is quantized to the pressure level based on the pressure level quantization parameter.
The method according to any one of claims 4-6, wherein the reference feature value is an object feature value corresponding to the first set of valid press data in the continuous press data.
A pressure detecting device, comprising:

The parameter obtaining module is configured to collect a fingerprint image, identify the fingerprint image, and obtain a corresponding pressure level quantization parameter thereof;

The feature value obtaining module is configured to parse the pressed data, and acquire an object feature value of the pressed data;

The pressure acquisition module is configured to calculate a pressure level of the finger press according to the pressure level quantization parameter and the object feature value.
The pressure detecting device according to claim 8, wherein the pressing data includes one or more of fingerprint texture data, blood flow data, and heart rate strength data.
The pressure detecting device according to claim 8, wherein the parameter obtaining module comprises:

a fingerprint collection module configured to collect the fingerprint image;

The fingerprint identification module is configured to determine whether there is fingerprint image template information matching the fingerprint image in the pre-stored fingerprint image information database;

The information query module is configured to: when the matching fingerprint image template information exists, read the pressure level quantization parameter from the fingerprint image template information;

The default value setting module is configured to set a default value to the pressure level quantization parameter when there is no matching fingerprint image template information.
The device according to claim 8, further comprising:

An eigenvalue processing module configured to acquire an object feature value of at least two sets of consecutive press data of the registered user, and a maximum change amount thereof relative to the reference feature value;

a parameter processing module, configured to calculate the pressure level quantization parameter according to the maximum change amount and a preset pressure level value range;

The information storage module is configured to save the pressure level quantization parameter as fingerprint image template information of the registered user into the fingerprint image information base.
The pressure detecting device according to claim 11, wherein said pressure detecting means is applied to a smart terminal having a pressing module, said continuous fingerprint image being pressed continuously by a registered user from light to heavy The fingerprint image of the module.
The pressure detecting device according to claim 9, wherein said pressure acquisition Modules include:

a change amount obtaining module configured to calculate a change amount of the object feature value relative to the reference feature value;

A pressure calculation module configured to quantify the parameter based on the pressure level and quantize the amount of change to the pressure level.
The pressure detecting device according to any one of claims 11 to 13, wherein the reference feature value is an object feature value corresponding to the first group of valid press data in the continuous press data.
A non-volatile computer storage medium storing computer-executable instructions for performing the method of pressure detection according to any one of claims 1 to 7.
An electronic device comprising:

At least one processor; and,

a memory communicatively coupled to the at least one processor; wherein

The memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to implement the method of pressure detection according to any one of claims 1 to 7.