WO2015085874A1

WO2015085874A1 - Method and device for identifying gesture

Info

Publication number: WO2015085874A1
Application number: PCT/CN2014/092593
Authority: WO
Inventors: 李航
Original assignee: 华为终端有限公司
Priority date: 2013-12-13
Filing date: 2014-11-29
Publication date: 2015-06-18
Also published as: CN104714675A; CN104714675B

Abstract

Disclosed in embodiments of the present invention are a method and device for identifying a gesture. The method for identifying the gesture comprises: receiving the gesture input by a user through a touch screen; dividing the gesture into multiple sample points, and acquiring the contact area between the each sample point and the touch screen; comparing the average contact area of the multiple sample points and a preset contact area threshold, and carrying out a curve fitting for the contact area data of the multiple sample points; adjusting the initial displacement threshold preset for the identified gesture according to the comparing result and the fitting result; and identifying the user's gesture according to the adjusted displacement threshold. The accuracy of the touch screen for identifying the user's gesture is improved through the embodiment of the present invention.

Description

Gesture recognition method and device

The present application claims priority to Chinese Patent Application No. 201310684417.X, entitled "A Hand Gesture Recognition Method and Apparatus" on December 13, 2013, the entire contents of which are hereby incorporated by reference. In the application.

Technical field

The present invention relates to the field of touch screen technologies, and in particular, to a gesture recognition method and apparatus.

Background technique

At present, most of the smart terminals (including: smart phones, tablets, etc.) perform information interaction by the user operating on the touch screen. In order to improve the accuracy of the touch screen operation, the performance requirements of the touch operation are also higher and higher, and the user desires that the process of gesture sliding in the process of the touch operation is better, and the more accurate the gesture click icon is, the better.

In the prior art, when the touch screen recognizes a gesture responsive to the user, it generally determines what operation the user performs on the touch screen according to a preset distance threshold. Specifically, the threshold values in the X and Y directions are set in advance, the threshold value in the X direction is X0, and the threshold value in the Y direction is Y0, as shown in FIG. 1, the displacement X1 generated by the user's finger in the X direction on the touch screen and The displacement Y1 generated in the Y direction satisfies the following condition: X1 < X0 and Y1 < Y0, the user's current operation is recognized as a click operation, and further, in response to the user's click operation; when X1>X0 or Y1>Y0, Then the user's current operation is recognized as a sliding operation, and in response, the user's sliding operation.

In the prior art, the distance presets X0 and Y0 thresholds set by the touch screen during the process of recognizing the response to the user are both fixed values. In different scenarios of practical applications, thresholds X0 and Y0 are likely to have defects that are set too small or too large. For example, if the thresholds X0 and Y0 are set small, when the user touches the touch screen, the finger contact area is large (such as a thumb click), and it is easy to generate a large displacement on the touch screen. At this time, the touch screen will cause the user to click. The operation is incorrectly recognized as a sliding operation and cannot respond to the user's click operation; and if the thresholds X0 and Y0 are set too large, the user's hand performance when sliding is deteriorated because the user's finger is required to make a larger on the touch screen. When the displacement is made, the touch screen can recognize the user's current gesture as a sliding operation, and the user experience is poor.

It can be seen that in the prior art, the recognition of the user's gesture by the touch screen generally has the defect of poor accuracy, which is urgently solved by the technician.

Summary of the invention

In the embodiment of the present invention, a gesture recognition method and apparatus are provided to improve the accuracy of the touch screen to the user's gesture recognition.

In order to solve the above technical problem, the embodiment of the present invention discloses the following technical solutions:

In a first aspect, a gesture recognition method is provided, including:

Receiving a gesture input by a user through a touch screen;

Dividing the gesture into a plurality of sampling points, and acquiring a contact area of each sampling point with the touch screen;

Comparing the average contact area of the plurality of sampling points with a preset contact area threshold, and performing curve fitting on the contact area data of the plurality of sampling points, and presetting the recognition gesture according to the comparison result and the fitting result The initial displacement threshold is adjusted;

The user's gesture is identified based on the adjusted displacement threshold.

With reference to the first aspect, in a first possible implementation manner, the average contact area of the multiple sampling points is compared with a preset contact area threshold, and an initial displacement preset for the recognition gesture is performed according to the comparison result. The threshold is adjusted, including: when the average contact area of the plurality of sampling points is lower than a preset contact area threshold, and the contact area data of the plurality of sampling points is fitted to a straight line form, reducing the initial displacement threshold .

With reference to the foregoing first aspect, in a second possible implementation manner, the average contact area of the multiple sampling points is compared with a preset contact area threshold, and a position threshold preset for the recognition gesture is determined according to the comparison result. Adjusting, comprising: increasing the initial displacement when the average contact area of the plurality of sampling points is higher than a preset contact area threshold, and the contact area data of the plurality of sampling points is fitted to a quadratic curve form Threshold.

With reference to the foregoing aspect, and the first possible implementation manner, in a third possible implementation manner, the determining, according to the adjusted displacement threshold value, the gesture of the user includes:

Recognizing the gesture as a click operation when the displacement generated by the gesture on the touch screen is lower than the reduced displacement preset;

The gesture is recognized as a sliding operation when the gesture produces a displacement on the touch screen that is higher than the reduced displacement preset.

With reference to the foregoing aspect, and the second possible implementation manner, in a fourth possible implementation manner, the determining, according to the adjusted displacement threshold, the gesture of the user includes:

Recognizing the gesture as a click operation when a displacement generated by the gesture on the touch screen is lower than an increased displacement preset;

The gesture is recognized as a sliding operation when the gesture produces a displacement on the touch screen that is higher than the increased displacement preset.

In a second aspect, a gesture recognition apparatus is provided, including:

a gesture receiving module, configured to receive a gesture input by a user through the touch screen;

a contact area obtaining module, configured to divide the gesture into a plurality of sampling points, and obtain a contact area of each sampling point with the touch screen;

a fitting adjustment module, configured to compare an average contact area of the plurality of sampling points with a preset contact area threshold, and perform curve fitting on the contact area data of the plurality of sampling points, according to the comparison result and the fitting The result adjusts the initial displacement threshold preset by the recognition gesture;

The identification module is configured to identify the gesture of the user according to the displacement threshold after the adjustment.

With reference to the foregoing second aspect, in a first possible implementation, the fitting adjustment module includes:

a first fitting unit for providing a first fitting result;

a first adjusting unit, configured to receive the first fitting result, when the first fitting result is: an average contact area of the plurality of sampling points is lower than a preset contact area threshold, and the plurality of samplings When the contact area data of the point is fitted to a straight line form, the initial displacement threshold is decreased.

With reference to the foregoing second aspect, in a second possible implementation, the fitting adjustment module includes:

a second fitting unit for providing a second fitting result;

a second adjusting unit, configured to receive the second fitting result, when the second fitting result is: an average contact area of the plurality of sampling points is higher than a preset contact area threshold, and the plurality of samplings When the contact area data of the point is fitted to the quadratic curve form, the initial displacement threshold is increased.

With reference to the foregoing second aspect, and the first possible implementation manner, in a third possible implementation manner, the identifying module includes:

a first identifying unit, configured to identify the gesture as a click operation when a displacement generated by the gesture on the touch screen is lower than a reduced displacement preset;

The second identifying unit is configured to recognize the gesture as a sliding operation when the displacement generated by the gesture on the touch screen is higher than the reduced displacement preset.

With reference to the foregoing second aspect, and the second possible implementation manner, in a fourth possible implementation manner, the identifying module includes:

a third identifying unit, configured to identify the gesture as a click operation when a displacement generated by the gesture on the touch screen is lower than an increased displacement preset;

And a fourth identifying unit, configured to recognize the gesture as a sliding operation when a displacement generated by the gesture on the touch screen is higher than an increased displacement preset.

In the embodiment of the present invention, the threshold of the contact area between the finger and the touch screen is preset. After the touch screen receives the gesture input by the user, the gesture is divided into multiple sampling points, and the contact area between each sampling point and the touch screen is obtained. Comparing the average contact area of the plurality of sampling points with a preset contact area threshold, and performing curve fitting on the contact area data of the plurality of sampling points to obtain a change trend of the finger and the touch screen contact, according to the The trend of change is to adjust the displacement threshold preset by the recognition gesture to prevent the problem of incorrect recognition of the user gesture and improve the accuracy of the touch screen to the user's gesture recognition.

DRAWINGS

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the description of the prior art will be briefly described below, and it will be apparent to those skilled in the art that In other words, other drawings can be obtained based on these drawings without paying for creative labor.

1 is a schematic diagram of identifying a user gesture in the prior art;

2 is a schematic flowchart of a gesture recognition method according to an embodiment of the present invention;

3 is a schematic diagram showing a fitting form of an average contact area of a first sampling point according to an embodiment of the present invention;

4 is a schematic diagram showing a fitting form of an average contact area of a second sampling point according to an embodiment of the present invention;

FIG. 5 is a schematic diagram of a gesture recognition apparatus according to an embodiment of the present invention;

FIG. 6 is a schematic diagram of a gesture recognition device for implementing user gesture recognition based on a computer system according to an embodiment of the present invention.

detailed description

The above-mentioned objects, features, and advantages of the embodiments of the present invention will become more apparent and understood. Give further details.

First, a gesture recognition method provided by the present invention is introduced.

2 is a flowchart of an embodiment of a gesture recognition method according to the present invention. The process flow may specifically include:

Step 201: Receive a gesture input by a user through a touch screen;

In this step, when the user operates by touching the touch screen with the finger, the touch screen receives the gesture input by the user and starts to recognize the gesture.

Step 202: Divide the gesture into multiple sampling points, and obtain a contact area of each sampling point with the touch screen.

In the embodiment of the present invention, it is not only based on whether the displacement generated by the finger on the touch screen is reached. The initial displacement threshold preset by the gesture is recognized to perform gesture recognition. Specifically, it is necessary to further combine the change trend of the contact action when the finger contacts the touch screen in the process of generating a displacement on the touch screen by the user's finger, and identify the user gesture.

Therefore, if a change trend of the contact action when the finger is in contact with the touch screen is obtained, the gesture is first divided into a plurality of sampling points, and the contact area of each sampling point with the touch screen is further acquired.

Step 203: Compare an average contact area of the plurality of sampling points with a preset contact area threshold, and perform curve fitting on the contact area data of the plurality of sampling points, and identify the gesture according to the comparison result and the fitting result. The preset initial displacement threshold is adjusted.

In this embodiment, the contact area threshold of the preset finger and the touch screen is preset, the average value of the contact areas of the plurality of sampling points and the touch screen is calculated, and the average value is compared with the preset contact area threshold to determine whether the average value is Above or below the preset contact area threshold. Then, the contact area data of the plurality of sampling points are curve-fitted to obtain a change trend of the finger and the touch screen. Finally, the initial displacement threshold preset by the recognition gesture is adjusted according to the foregoing comparison result and the fitting result.

The initial displacement threshold is used to initially determine whether the user's gesture operation is a click operation or a slide operation. In the embodiment of the present invention, in the specific identification process, the initial displacement threshold may be adjusted according to the comparison result of the average of the contact area of the plurality of sampling points and the touch screen and the preset contact area threshold, and the curve fitting result.

In the specific implementation process, the initial displacement threshold is set to the empirical value, which can be determined according to a certain number of people with different ages, heights, finger sizes and operating habits. When the finger displacement of the user exceeds the displacement threshold, the current user's operation may be initially determined to be sliding; when the user's finger displacement is lower than the displacement threshold, the current user's operation may be initially determined to be a click.

For the contact area threshold, the contact area threshold corresponding to various integrated chips can be set according to the processing attributes of different integrated chips.

Step 204: Identify the gesture of the user according to the displacement threshold after the adjustment.

In the embodiment of the present invention, the threshold of the contact area between the finger and the touch screen is preset. After the touch screen receives the gesture input by the user, the gesture is divided into multiple sampling points, and each sampling point is acquired. The contact area of the touch screen compares the average contact area of the plurality of sampling points with a preset contact area threshold, and performs curve fitting on the contact area data of the plurality of sampling points to obtain contact between the finger and the touch screen. According to the change trend, the initial displacement threshold preset by the recognition gesture is adjusted accordingly to prevent the problem of incorrect recognition of the user gesture and improve the accuracy of the touch screen to the user gesture recognition.

In the embodiment of the present invention, the average contact area of the plurality of sampling points is compared with a preset contact area threshold, and the initial displacement threshold preset by the recognition gesture is adjusted according to the comparison result, which mainly includes the following forms:

(1) When the average contact area of the plurality of sampling points is lower than a preset contact area threshold, and the contact area data of the plurality of sampling points is fitted to a straight line form, the initial displacement threshold is decreased.

In this solution, when the average contact area of the plurality of sampling points is lower than the preset contact area threshold, it may be determined that the touch area of the user's finger and the touch screen is small, for example, according to the usage habit of most users, the gesture is performed by using the index finger. operating. Further, the contact area data of the plurality of sampling points is fitted, and when the fitting result is in the form of a straight line, it means that the user's finger exerts a uniform force on the touch screen, and the gesture is easier to recognize. Therefore, the initial preset initial shift threshold can be reduced, so that the current user gesture is recognized more quickly, and the recognition sensitivity is improved.

After the preset initial displacement threshold is decreased, the current user gesture can be identified, including:

(a) identifying the gesture as a click operation when the gesture produces a displacement on the touch screen that is lower than the reduced displacement preset;

(b) identifying the gesture as a sliding operation when the gesture produces a displacement on the touch screen that is higher than the reduced displacement preset.

(2) When the average contact area of the plurality of sampling points is higher than a preset contact area threshold, and the contact area data of the plurality of sampling points is fitted in a quadratic curve form, the initial displacement threshold is increased.

In this solution, when the average contact area of the plurality of sampling points is higher than the preset contact area threshold, it may be determined that the touch area of the user's finger and the touch screen is large, for example, the gesture operation is performed by using a thumb that is not commonly used by most users. Further, fitting the contact area data of the plurality of sampling points, When the fitting result is in the form of a quadratic curve, it means that the user's finger exerts a non-uniform force on the touch screen, and it is relatively difficult to recognize the gesture. Therefore, the initial preset initial displacement threshold can be increased, so that the recognition of the current user gesture is more accurate and effective.

After the preset initial displacement threshold is increased, the current user gesture can be identified, including:

(c) recognizing the gesture as a click operation when a displacement generated by the gesture on the touch screen is lower than an increased displacement preset;

(d) identifying the gesture as a sliding operation when the gesture produces a displacement on the touch screen that is higher than the increased displacement preset.

In order to facilitate the understanding of the technical solutions of the present invention, the above technical solutions are described in detail through specific implementations.

Assume that the initial displacement threshold set by the touch screen is 16 pixels.

When the user clicks or slides on the touch screen every time, the touch screen will report a series of gesture sampling points, as follows: Down (0), Move (1), Move (2) ... Move (N-1), Move (N) and Up(N+1). Among them, Down (0) is used to indicate the starting point of the user's finger touching the touch screen, Up (N+1) is used to indicate the end point of the user's finger last touching the touch screen, and Move (1) to Move (N) are used to indicate that the user clicks or N sample points during the sliding operation. Specifically, the value of N depends on the reporting frequency of the touch screen. The higher the frequency, the smaller N is, the lower the frequency is, the larger N is. For example, the reporting frequency is 120 MHz, and the value of N is 5 or 6.

When judging whether to adjust the preset displacement preset, it is necessary to combine Down (0) and N sampling points in the click or slide operation to judge.

Specifically, the value of the contact area corresponding to the N (samples) and the N sampling points in the click or slide operation are respectively obtained, and the average value of the contact area values corresponding to the sampling points is calculated, and the average value and the preset contact area are calculated. The thresholds are compared. The value defined by each touch screen manufacturer for the preset contact area threshold may be different. The following describes the preset contact area threshold of 100.

If the average contact area is less than 100, and the curves fitted by these sampling points approximate a linear function form, for example, the straight line form y=k, as shown in FIG. In this case, the contact area between the current user's finger and the touch screen is small, and thus, the currently set is used to determine that the user is a click operation. The displacement threshold for the sliding operation is too large for the user. Therefore, the displacement threshold needs to be reduced.

If the average contact area is greater than 100, and the curves fitted by these sample points approximate the quadratic function form, for example: parabolic form, as shown in Figure 4. In this case, the current user's finger has a large contact area with the touch screen. Therefore, the currently set displacement threshold for determining whether the user is a click operation or a sliding operation is small for the user. Therefore, the displacement threshold needs to be increased.

During the specific implementation process, the magnitude of the displacement threshold is reduced or increased, which is an empirical value.

The method of determining the magnitude of the displacement threshold that is specifically reduced or increased is exemplified below. For example, using a mobile phone with a touch screen size of 4.5 inches (resolution 960*540, pixel density of 1.5), allowing different people to click and slide, and the displacement of the finger on the touch screen during click and slide operations. Statistics, when the statistical results are found: for people who have a small contact area between the finger and the touch screen when clicking or sliding with the index finger, the finger displacement is usually about 6 pixels, the finger displacement is generally smaller than the initial displacement threshold, and the finger displacement is greater than the sliding operation. 6pixel; for a person who has a large contact area between the finger and the touch screen when clicking or sliding with a thumb, the finger displacement may be about 20 to 24 pixels, the finger displacement is generally greater than the initial displacement threshold, and the finger displacement is greater than 24 pixels during the sliding operation. Therefore, in order to improve the accuracy of the touch screen to the user's gesture recognition, the displacement threshold of the initial setting may be adaptively adjusted according to the contact area of the user's finger and the touch screen: when the contact area between the finger and the touch screen is small during operation, the initial displacement threshold is Reduced to 6pixel; when the contact area between the finger and the touch screen is large during operation, the initial displacement threshold is increased to 24 pixels.

Corresponding to the embodiment of the gesture recognition method provided by the present invention, the present invention also provides a gesture recognition apparatus.

As shown in FIG. 5, an embodiment of a gesture recognition apparatus provided by the present invention may specifically include:

a gesture receiving module 501, configured to receive a gesture input by a user through a touch screen;

The contact area obtaining module 502 is configured to divide the gesture into a plurality of sampling points, and obtain a contact area of each sampling point with the touch screen;

a fitting adjustment module 503, configured to compare an average contact area of the plurality of sampling points with a preset contact area threshold, and perform curve fitting on the contact area data of the plurality of sampling points, according to the comparison result and the The result adjusts the initial displacement threshold preset by the recognition gesture;

The identification module 504 is configured to identify the gesture of the user according to the displacement threshold after the adjustment.

It should be noted that, in the device embodiment, the gesture recognition is performed not only according to whether the displacement generated by the finger on the touch screen reaches the initial displacement threshold preset by the recognition gesture. Specifically, it is necessary to further combine the change trend of the contact action when the finger contacts the touch screen in the process of generating a displacement on the touch screen by the user's finger, and identify the user gesture. To obtain a change trend of the contact action when the finger is in contact with the touch screen, the contact area acquisition module 502 is required to divide the gesture into a plurality of sampling points, and further obtain the contact area of each sampling point with the touch screen. The device presets a contact area threshold of the finger and the touch screen. By fitting the adjustment module 503, calculating an average of the contact areas of the plurality of sampling points and the touch screen, and comparing the average value with a preset contact area threshold to determine whether the average value is higher or lower than the preset contact. Area threshold. Then, the contact area data of the plurality of sampling points are curve-fitted to obtain a change trend of the finger and the touch screen. Finally, the initial displacement threshold preset by the recognition gesture is adjusted according to the foregoing comparison result and the fitting result. In the specific implementation process, the initial displacement threshold is set to the empirical value, which can be determined according to a certain number of people with different ages, heights, finger sizes and operating habits. For the contact area threshold, the contact area threshold corresponding to various integrated chips can be set according to the processing attributes of different integrated chips.

In the device embodiment, the contact area threshold of the finger and the touch screen is preset. After the touch screen receives the gesture input by the user, the touch screen divides the gesture into multiple sampling points, and acquires a contact area between each sampling point and the touch screen. Comparing the average contact area of the plurality of sampling points with a preset contact area threshold, and performing curve fitting on the contact area data of the plurality of sampling points to obtain a change trend of the finger and the touch screen contact, according to the The change trend is to adjust the initial displacement threshold preset by the recognition gesture to prevent the problem of incorrect recognition of the user gesture and improve the accuracy of the touch screen to the user gesture recognition.

In the specific implementation process, the fitting adjustment module may specifically include:

a first fitting unit for providing a first fitting result;

In this embodiment, when the average contact area of the plurality of sampling points is lower than the preset contact area threshold, it may be determined that the touch area of the user's finger and the touch screen is small, for example, according to the usage habit of most users, using the index finger Gesture operation. Further, the contact area data of the plurality of sampling points is fitted, and when the fitting result is in the form of a straight line, it means that the user's finger exerts a uniform force on the touch screen, and the gesture is easier to recognize. Therefore, the initial preset initial shift threshold can be reduced, so that the current user gesture is recognized more quickly, and the recognition sensitivity is improved.

In addition, in another implementation manner of the fitting adjustment module, the fitting adjustment module may specifically include:

a second fitting unit for providing a second fitting result;

In this embodiment, when the average contact area of the plurality of sampling points is higher than the preset contact area threshold, it may be determined that the touch area of the user's finger and the touch screen is large, for example, using a thumb that is not commonly used by the user to perform a gesture operation. . Further, the contact area data of the plurality of sampling points are fitted. When the fitting result is in the form of a quadratic curve, it indicates that the user's finger exerts a non-uniform force on the touch screen, and the gesture is relatively difficult to recognize. Therefore, the initial preset initial displacement threshold can be increased, so that the recognition of the current user gesture is more accurate and effective.

For the implementation of the above-mentioned fitting adjustment module, the identification module may specifically include:

a second identifying unit, configured to identify the gesture as a sliding operation when a displacement generated by the gesture on the touch screen is higher than a reduced displacement preset;

Correspondingly, the embodiment of the present invention further provides a gesture recognition device for realizing user gesture recognition based on a computer system. As shown in FIG. 6 , in a specific implementation, the terminal in the embodiment of the present invention may include: a processor 601, a memory 602, a bus 603 and a receiver 604; wherein the processor 601 and the memory 602 are connected to each other by the bus 603; the memory 602 is configured to store a computer to execute an instruction; the receiver is configured to receive a gesture input by a user through a touch screen; The processor 601 executes the computer execution instruction stored by the memory 602, and performs the following operations: dividing the gesture into a plurality of sampling points, and acquiring a contact area of each sampling point with the touch screen; The average contact area of the sampling point is compared with a preset contact area threshold, and the contact area data of the plurality of sampling points are curve-fitted, and the initial displacement threshold preset by the recognition gesture is performed according to the comparison result and the fitting result. Adjusting; identifying the gesture of the user according to the adjusted displacement threshold.

In the embodiment of the present invention, the processor may be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or the like.

The computer storage medium may store a program, which may include some or all of the steps in various embodiments of the data transmission method provided by the embodiments of the present invention. The storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM).

Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the various examples described in connection with the embodiments disclosed herein can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the solution. A person skilled in the art can use different methods for implementing the described functions for each particular application, but such implementation should not be considered to be beyond the scope of the present invention.

A person skilled in the art can clearly understand that for the convenience and brevity of the description, the specific working process of the system, the device and the unit described above can refer to the corresponding process in the foregoing method embodiment, and details are not described herein again.

In the several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the device embodiments described above are merely illustrative. For example, the division of the unit is only a logical function division. In actual implementation, there may be another division manner, for example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be electrical, mechanical or otherwise.

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

The functions may be stored in a computer readable storage medium if implemented in the form of a software functional unit and sold or used as a standalone product. Based on such understanding, the technical solution of the present invention, which is essential or contributes to the prior art, or a part of the technical solution, may be embodied in the form of a software product, which is stored in a storage medium, including The instructions are used to cause a computer device (which may be a personal computer, server, or network device, etc.) or a processor to perform all or part of the steps of the methods described in various embodiments of the present invention. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and the like. .

The above is only a specific embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily think of changes or substitutions within the technical scope of the present invention. It should be covered by the scope of the present invention. Therefore, the scope of the invention should be determined by the scope of the claims.

Claims

A gesture recognition method, comprising:

Receiving a gesture input by a user through a touch screen;

Dividing the gesture into a plurality of sampling points, and acquiring a contact area of each sampling point with the touch screen;

Comparing the average contact area of the plurality of sampling points with a preset contact area threshold, and performing curve fitting on the contact area data of the plurality of sampling points, and presetting the recognition gesture according to the comparison result and the fitting result The initial displacement threshold is adjusted;

The user's gesture is identified based on the adjusted displacement threshold.
The method according to claim 1, wherein the comparing the average contact area of the plurality of sampling points with a preset contact area threshold, and adjusting an initial displacement threshold preset by the recognition gesture according to the comparison result ,include:

When the average contact area of the plurality of sampling points is lower than a preset contact area threshold, and the contact area data of the plurality of sampling points is fitted to a straight line form, the initial displacement threshold is decreased.
The method according to claim 1, wherein the comparing the average contact area of the plurality of sampling points with a preset contact area threshold, and adjusting a position threshold preset by the recognition gesture according to the comparison result, include:

When the average contact area of the plurality of sampling points is higher than a preset contact area threshold, and the contact area data of the plurality of sampling points is fitted in a quadratic curve form, the initial displacement threshold is increased.
The method according to claim 2, wherein the identifying the gesture of the user according to the adjusted displacement threshold comprises:

Recognizing the gesture as a click operation when the displacement generated by the gesture on the touch screen is lower than the reduced displacement preset;

The gesture is recognized as a sliding operation when the gesture produces a displacement on the touch screen that is higher than the reduced displacement preset.
The method according to claim 3, wherein the identifying the gesture of the user according to the displacement threshold after the adjustment comprises:

Recognizing the gesture as a click operation when a displacement generated by the gesture on the touch screen is lower than an increased displacement preset;

The gesture is recognized as a sliding operation when the gesture produces a displacement on the touch screen that is higher than the increased displacement preset.
A gesture recognition device, comprising:

a gesture receiving module, configured to receive a gesture input by a user through the touch screen;

a contact area obtaining module, configured to divide the gesture into a plurality of sampling points, and obtain a contact area of each sampling point with the touch screen;

a fitting adjustment module, configured to compare an average contact area of the plurality of sampling points with a preset contact area threshold, and perform curve fitting on the contact area data of the plurality of sampling points, according to the comparison result and the fitting The result adjusts the initial displacement threshold preset by the recognition gesture;

The identification module is configured to identify the gesture of the user according to the displacement threshold after the adjustment.
The apparatus according to claim 6, wherein the fitting adjustment module comprises:

a first fitting unit for providing a first fitting result;

a first adjusting unit, configured to receive the first fitting result, when the first fitting result is: an average contact area of the plurality of sampling points is lower than a preset contact area threshold, and the plurality of samplings When the contact area data of the point is fitted to a straight line form, the initial displacement threshold is decreased.
The apparatus according to claim 6, wherein the fitting adjustment module comprises:

a second fitting unit for providing a second fitting result;

a second adjusting unit, configured to receive the second fitting result, when the second fitting result is: an average contact area of the plurality of sampling points is higher than a preset contact area threshold, and the plurality of samplings When the contact area data of the point is fitted to the quadratic curve form, the initial displacement threshold is increased.
The device according to claim 7, wherein the identification module comprises:

a first identifying unit, configured to identify the gesture as a click operation when a displacement generated by the gesture on the touch screen is lower than a reduced displacement preset;

The second identifying unit is configured to recognize the gesture as a sliding operation when the displacement generated by the gesture on the touch screen is higher than the reduced displacement preset.
The device according to claim 8, wherein the identification module comprises:

a third identifying unit, configured to identify the gesture as a click operation when a displacement generated by the gesture on the touch screen is lower than an increased displacement preset;

And a fourth identifying unit, configured to recognize the gesture as a sliding operation when a displacement generated by the gesture on the touch screen is higher than an increased displacement preset.