CN114035706B - Analysis method, device, equipment and storage medium for touch screen finger characteristics - Google Patents
Analysis method, device, equipment and storage medium for touch screen finger characteristics Download PDFInfo
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Abstract
The application provides a method, a device, equipment and a storage medium for analyzing touch screen finger characteristics, wherein the method comprises the following steps: determining a finger touch area according to the touch sensing amount of each sensing point; acquiring sensing point positions and touch sensing amounts of a plurality of sensing points in the finger touch area; determining the touch azimuth characteristics of the finger touch area according to the sensing point positions and the touch sensing amounts of the sensing points and the constructed second-order Gaussian function; the second-order Gaussian function is used for representing the relation between the position of the sensing point and the touch sensing quantity. According to the technical scheme, the pressing direction and range of the touch screen finger can be calculated only by means of the touch screen data acquired by the screen without depending on other external hardware for auxiliary judgment.
Description
Technical Field
The application relates to the technical field of electronics, in particular to a method and a device for analyzing finger characteristics of a touch screen, electronic equipment, a computer readable storage medium and a touch device.
Background
Along with the development of technology, touch screen recognition has become one of the common interaction modes of various electronic devices, and users can operate on the touch screen of the electronic device with fingers so as to control the electronic device, so that the touch screen recognition method is very convenient and quick. In the prior art, it is generally required to rely on external hardware to position the touch screen direction of a finger, for example, a fingerprint acquisition device is arranged under a screen, or a hand-held mode of a user is judged through light sensing modules arranged at two sides of a terminal, or the touch direction of the finger is determined through the position relation and the difference value between the uppermost point and the lowermost point of touch screen data.
In the prior art, the method for judging and analyzing the direction and the range of the finger needs to set external hardware or collect the effective data of the touch area, which has certain limitation and requires additional cost.
Disclosure of Invention
The embodiment of the application provides an analysis method, an analysis device, electronic equipment and a storage medium for touch screen finger characteristics, and provides a method capable of calculating the pressing direction and the pressing range of a touch screen finger by only relying on touch screen data acquired by a screen without relying on other external hardware for auxiliary judgment.
An embodiment of the present application provides a method for analyzing characteristics of a touch screen finger, including: determining a finger touch area according to the touch sensing amount of each sensing point; acquiring sensing point positions and touch sensing amounts of a plurality of sensing points in the finger touch area; determining the touch azimuth characteristics of the finger touch area according to the sensing point positions and the touch sensing amounts of the sensing points and the constructed second-order Gaussian function; the second-order Gaussian function is used for representing the relation between the position of the sensing point and the touch sensing quantity.
In an embodiment, the determining the finger touch area according to the touch sensing amount of each sensing point includes: and if the touch sensing amount of the sensing points of a certain area is larger than the touch sensing amount of the surrounding sensing points, determining the area as a finger touch area.
In an embodiment, the acquiring the sensing point positions and the touch sensing amounts of the sensing points in the finger touch area includes: and acquiring sensing point positions and touch sensing amounts of at least six sensing points in the finger touch area.
In an embodiment, the acquiring the sensing point positions and the touch sensing amounts of at least six sensing points in the finger touch area includes: acquiring the position of a sensing point with the largest touch sensing amount in the finger touch area and corresponding touch sensing amount; searching at least five adjacent sensing points in a preset range of the sensing point position with the largest touch sensing quantity; and acquiring the sensing point position and the corresponding touch sensing amount of each adjacent sensing point.
In one embodiment, the second order gaussian function is:
Wherein,
Wherein, I xy represents the touch sensing quantity corresponding to the sensing point position (x, y), the (x 0,y0) represents the central point coordinate of the finger touch area, and w x and w y represent the axial length of the elliptical finger touch area; θ represents the direction angle between the major axis of the elliptical finger touch area and the horizontal direction, and a represents the amplitude.
In an embodiment, the determining the touch azimuth characteristic of the finger touch area according to the sensing point positions and the touch sensing amounts of the sensing points and the constructed second-order gaussian function includes: substituting the sensing point positions and the touch sensing amounts of at least six sensing points into the second-order Gaussian function, and calculating the coordinates of the central point, the direction included angle and the axial length of the finger touch area.
In one embodiment, after the calculating the center point coordinates, the direction included angle, and the axial length of the finger touch area, the method further includes: and constructing an elliptical finger pressing range according to the coordinates of the central point, the direction included angle and the axial length.
A second aspect of the embodiments of the present application provides an analysis device for touch screen finger characteristics, where the device includes: the area determining module is used for determining a finger touch area according to the touch sensing quantity of each sensing point; the data acquisition module is used for acquiring the sensing point positions and the touch sensing amounts of a plurality of sensing points in the finger touch area; the characteristic analysis module is used for determining the touch azimuth characteristic of the finger touch area according to the sensing point positions and the touch sensing amounts of the sensing points and the constructed second-order Gaussian function; the second-order Gaussian function is used for representing the relation between the position of the sensing point and the touch sensing quantity.
In one embodiment, the second order gaussian function is:
Wherein,
Wherein, I xy represents the touch sensing quantity corresponding to the sensing point position (x, y), the (x 0,y0) represents the central point coordinate of the finger touch area, and w x and w y represent the axial length of the elliptical finger touch area; θ represents the direction angle between the major axis of the elliptical finger touch area and the horizontal direction, and a represents the amplitude.
In an embodiment, the data acquisition module is configured to acquire sensing point positions and touch sensing amounts of a plurality of sensing points in the finger touch area.
A third aspect of an embodiment of the present application provides an electronic device, including: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to perform the method of the first aspect of the embodiments of the application and any of the embodiments thereof.
A fourth aspect of the embodiments of the present application provides a computer readable storage medium storing a computer program executable by a processor to perform the method of the first aspect of the embodiments of the present application and any of the embodiments thereof.
The embodiment of the application also provides a touch device, which comprises:
A touch panel;
the touch control circuit is connected with the touch control panel and is used for executing the analysis method of the touch screen finger characteristics.
According to the technical scheme provided by the embodiment of the application, the sensing point positions and the touch sensing amount of a plurality of sensing points in the finger touch area can be obtained; and determining the touch azimuth characteristic of the finger touch area according to the sensing point positions and the touch sensing amounts of the sensing points and the constructed second-order Gaussian function, so that the direction of the finger touch can be quickly known.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic structural diagram of an electronic device according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a touch device according to an embodiment of the application;
FIG. 3 is a flowchart illustrating a method for analyzing characteristics of a touch screen finger according to an embodiment of the present application;
FIG. 4 is a flowchart illustrating a method for analyzing characteristics of a touch screen finger according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an analysis device for touch screen finger characteristics according to an embodiment of the present application.
Detailed Description
In the description of the present application, the terms "first," "second," and the like are used merely for distinguishing between descriptions, and do not denote a ordinal number, nor are they to be construed as indicating or implying relative importance.
In the description of the present application, the terms "comprises," "comprising," and the like, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, elements, components, and/or groups thereof.
In the description of the present application, the terms "mounted," "disposed," "provided," "connected," and "configured" are to be construed broadly unless otherwise specifically defined and limited. For example, it may be a fixed connection, a removable connection, or a unitary construction; can be mechanically or electrically connected; either directly or indirectly, through intermediaries, or through internal communication between two devices, elements, or components. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art according to the specific circumstances.
The technical solutions of the present application will be clearly and completely described below with reference to the accompanying drawings.
Fig. 1 is a schematic structural diagram of an electronic device 100 according to an embodiment of the present application, where the electronic device 100 may be used to execute the method for opening an in-application debugging tool according to the embodiment of the present application. The electronic device 100 includes: at least one processor 103, at least one memory 102, and a bus 101, the bus 101 being used to effect connected communication of these components. The electronic device 100 may be a mobile terminal such as a tablet computer, a smart phone, etc.
In one embodiment, memory 102 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, including, but not limited to, random access Memory 102 (Random Access Memory, RAM), read Only Memory 102 (ROM), static random access Memory 102 (Static Random Access Memory, SRAM for short), programmable Read Only Memory 102 (Programmable Read-Only Memory, PROM), erasable Read Only Memory 102 (Erasable Programmable Read-Only Memory, EPROM), electrically erasable Read Only Memory 102 (Electric Erasable Programmable Read-Only Memory, EEPROM).
In one embodiment, the Processor 103 may be a general purpose Processor 103 including, but not limited to, a central processing unit 103 (Central Processing Unit, CPU), a network Processor 103 (Network Processor, NP), etc., and may also be a digital signal Processor 103 (DIGITAL SIGNAL Processor, DSP), application Specific Integrated Circuit (ASIC), off-the-shelf programmable gate array (Field Programmable GATE ARRAY, FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, etc. The general purpose processor 103 may be a microprocessor 103 or the processor 103 may be any conventional processor 103 or the like, the processor 103 being a control center of the electronic device 100, the various interfaces and lines being utilized to connect various portions of the overall electronic device 100. The processor 103 may implement or perform the methods, steps and logic blocks disclosed in the embodiments of the present application.
In an embodiment, fig. 1 illustrates a processor 103 and a memory 102, where the processor 103 and the memory 102 are connected through a bus 101, and the memory 102 stores instructions executable by the processor 103, so that the electronic device 100 can execute all or part of the methods in the embodiments described below to analyze the characteristics of the touch screen finger.
The electronic equipment can be equipment such as a smart television, a smart phone, a tablet personal computer, a notebook computer, an access control device, a card punching device, a smart bracelet and the like.
An embodiment of the present application also provides a storage medium including: a program, when executed by the electronic device 100, causes the electronic device 100 to perform all or part of the method steps in the above embodiments. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a Flash Memory 102 (Flash Memory), a hard disk (HARD DISK DRIVE, abbreviated as HDD), a Solid state disk (Solid-state disk STATE DRIVE, SSD), or the like. The storage medium may also include a combination of the types of memory 102 described above.
Fig. 2 is a schematic structural diagram of a touch device according to an embodiment of the present application. As shown in fig. 2, the touch device 1 includes: a touch panel 11 and a touch circuit 12 connected to the touch panel 11. And the touch circuit 12 may execute the analysis method of the touch screen finger characteristics provided in the embodiment of the present application to determine the azimuth characteristics of the finger touch under the condition that the finger touches the touch panel 11. Fig. 2 is not used to show the structure of the touch panel 11, but is used to exemplarily show that the touch panel 11 includes a plurality of sensors 111 (may also be referred to as a plurality of sensing points). In a possible embodiment, the touch panel 11 may be a capacitive touch panel, a resistive touch panel, a pressure touch panel, an optical touch panel, or an acoustic touch panel.
Fig. 3 is a flowchart illustrating a method for analyzing characteristics of a touch screen finger according to an embodiment of the application, which can be performed by the electronic device 100 shown in fig. 1, and the method includes S210-S230.
S210: and determining a finger touch area according to the touch sensing amount of each sensing point.
In an embodiment, if the touch sensing amount of the sensing point of a certain area is greater than the touch sensing amount of the surrounding sensing points, the area is determined to be a finger touch area.
Specifically, a sensor is arranged under a touch screen of the electronic device, when a user performs touch operation on the touch screen of the electronic device, a touch area is generated, the under-screen sensor of the touch area generates a touch sensing amount larger than that of an untouched area, the sensing amount after touch is subtracted from the sensing amount before touch to obtain a difference value, and the difference value is called a sensing variation. Generally, the closer to the center position of the touch area, the larger the amount of sensing change, and the closer to the edge position of the touch area, the smaller the amount of sensing change. Here, the region where the sensing variation exists is determined as the finger touch region.
S220: and acquiring sensing point positions and touch sensing amounts of a plurality of sensing points in the finger touch area.
In one embodiment, the sensing point positions and touch sensing amounts of at least 6 sensing points may be obtained.
Specifically, in step S210, the finger touch area has been determined, each point of the finger touch area has a sensing variable, and a point with the largest sensing variable, that is, a point with the largest sensing variable is selected, and the position coordinates of the point are obtained. And at least five sensing point positions are taken from the upper, lower, left and right sides of the point, and coordinates of the sensing points and the generated touch sensing quantity are obtained. Thereby determining sensing point positions and touch sensing amounts of at least six sensing points.
In another embodiment, the sensing point positions and the touch sensing amounts of at least six points with the largest touch sensing amount can be obtained.
As shown in table 1 below, the sensing point positions and touch sensing amounts of the plurality of sensing points. The touch sensing amount is the largest with the sensing point position being the coordinates (18, 9), and the touch sensing amount reaches 901.
TABLE 1
| x | y | Induction quantity I xy |
| 16 | 9 | 678 |
| 16 | 10 | 778 |
| 16 | 11 | 506 |
| 17 | 8 | 606 |
| 17 | 9 | 884 |
| 17 | 10 | 807 |
| 17 | 11 | 453 |
| 18 | 8 | 678 |
| 18 | 9 | 901 |
| 18 | 10 | 677 |
S230: and determining the touch azimuth characteristic of the finger touch area according to the sensing point positions and the touch sensing amounts of the sensing points and the constructed second-order Gaussian function.
Specifically, the second-order gaussian function is used for representing the relation between the position of the sensing point and the touch sensing quantity, and the equation of the second-order gaussian function is as follows:
Wherein,
Wherein, I xy represents the touch sensing quantity corresponding to the sensing point position (x, y), the (x 0,y0) represents the central point coordinate of the finger touch area, and w x and w y represent the axial length of the elliptical finger touch area; θ represents the direction angle between the major axis of the elliptical finger touch area and the horizontal direction, and a represents the amplitude.
In S220, the position information and the touch sensing amount of at least six sensing points are already obtained, i.e. I xy and the point coordinates (x, y) of at least six sensing points are known, so that the above second-order gaussian equation can be solved, and 6 data such as the center point coordinates (x 0,y0) of the finger touch area, the axial lengths w x and w y of the elliptical finger touch area, the direction included angle θ between the long axis and the horizontal direction of the elliptical finger touch area, and the amplitude a are obtained.
After the at least 6 effective data are obtained, the finger touch area and the touch azimuth characteristic of the area can be fitted.
The method is more convenient compared with the prior art, and can be widely applied to various electronic devices without depending on external hardware and acquiring information of all touch points of the touch area.
Fig. 4 is a flowchart illustrating a method for analyzing characteristics of a touch screen finger according to an embodiment of the application, which can be performed by the electronic device 100 shown in fig. 1, and the method includes S310-S370.
S310: and determining a finger touch area according to the touch sensing amount of each sensing point.
S310 is similar to S210 in the above embodiment, and is described in detail in the above embodiment, and will not be repeated here.
S320: and acquiring the position of the sensing point with the largest touch sensing amount in the finger touch area and the corresponding touch sensing amount.
Since the finger touch area is determined, sensing variation exists at each point of the finger touch area, a point with the largest sensing variation in the finger touch area, namely, a point with the largest touch sensing amount is selected, position information of the point is acquired, and the position information comprises coordinates (x, y) of the point.
S330: and searching at least five adjacent sensing points in a preset range of the sensing point position with the largest touch sensing quantity.
S340: and acquiring the sensing point position and the corresponding touch sensing amount of each adjacent sensing point.
In S320, the coordinates of the point with the largest touch sensing amount in the finger touch area are determined, at least five points with larger touch sensing amounts are selected from the top, bottom, left and right of the point, and the touch sensing amounts and the position coordinate information of the sensing points are recorded.
S350: and substituting the sensing point positions and the touch sensing amounts of at least six sensing points into the constructed second-order Gaussian function.
S360: and calculating the coordinates of the central point, the direction included angle and the axial length of the finger touch area.
Specifically, the second-order gaussian function is used for representing the relation between the position of the sensing point and the touch sensing quantity, and the equation of the second-order gaussian function is as follows:
Wherein,
Wherein, I xy represents the touch sensing quantity corresponding to the sensing point position (x, y), the (x 0,y0) represents the central point coordinate of the finger touch area, and w x and w y represent the axial length of the elliptical finger touch area; θ represents the direction angle between the major axis of the elliptical finger touch area and the horizontal direction, and a represents the amplitude.
Separating the variables from the above equation to obtain:
I.e.
The operation principle according to linear algebra can be further converted into a matrix equation (or called vector equation): a N×1＝BN×6C6×1. Wherein a N×1 is an n×1 matrix (i.e., N of the ln I xy) composed of touch sensing amounts using N sensing points, and C 6×1 is a 6×1 matrix (i.e., C 1、C2、C3、C4、C5, and C 6) composed of 6 parameters. And, corresponding to C 1、C2、C3、C4、C5 and C 6), it is understood that B N×6 is utilizedxN、Y N、xNyN and 1, and an N x 6 matrix. In more detail, 6 of the parameters are C 1、C2、C3、C4、C5, and C 6, respectively, and are represented by 6 mathematical formulas as follows:
And
And 6 parameters are solved only by using an inverse matrix algorithm and N touch sensing amounts, and then the centrifugal angle, the long axis and the short axis of the finger touch screen area are calculated by using the 6 parameters, so that the finger touch screen pointing direction is determined. Describing in more detail, the operation of the inverse matrix algorithm is as follows:
It is worth noting that common inverse matrix algorithms (i.e., matrix inversion) need to satisfy that the matrix itself is reversible (i.e., the matrix must be a non-singular matrix). However, when matrix inversion is required for practical applications, there is often an irreversible non-square matrix (i.e., singular matrix) in the matrix equation. However, matrix inversion of singular/non-singular matrices can be achieved using the algorithm of the inverse matrix algorithm shown above.
Due to N of the ln I xy andxN、Y N、xNyN are derived from N touch sensing amounts (see table (1) above), so 6 of the parameters C 1、C2、C3、C4、C5 and C 6 can be solved by using the inverse matrix algorithm and N touch sensing amounts. Further, the centrifugal angle, major axis, and minor axis of the finger touch screen region (i.e., elliptical region) can be calculated using several equations as follows:
For example, using the data of Table (1), a matrix C 6×1 containing 6 parameters (i.e., C 1、C2、C3、C4、C5, and C 6) as shown in Table (2) below can be calculated.
Watch (2)
Subsequently, using the data of table (2), the centrifugal angle θ= 28.1395 can be calculated by the above formula (1). The short axis wx= 2.4348 can be calculated by using the data in table (2) and expression (2) above. Further, the long axis wy= 1.2961 can be calculated by using the data of table (2) and expression (3) above. Finally, after all of the basic parameters of the finger touch screen area (i.e., the elliptical area) are obtained, a finger touch direction may be determined.
S370: and constructing an elliptical finger pressing range according to the coordinates of the central point, the direction included angle and the axial length.
And through the center point coordinates (x 0,y0) solved in the S360, the axial lengths w x and w y of the elliptic finger touch area and the direction included angle theta between the long axis and the horizontal direction of the elliptic finger touch area are fitted to obtain the shape of the elliptic touch screen finger, and the orientation of the touch screen finger is determined according to the repeated pattern.
In this embodiment, the finger pressing shape is assumed to be an elliptical shape, and there are other specific methods corresponding to the finger pressing shape of other shapes.
Referring to fig. 5, which is a schematic structural diagram of an analysis device 400 for touch-screen finger characteristics according to an embodiment of the application, the device 400 includes: the area determining module 410 is configured to determine a finger touch area according to the touch sensing amount of each sensing point; the data acquisition module 420 is configured to acquire sensing point positions and touch sensing amounts of a plurality of sensing points in the finger touch area; the characteristic analysis module 430 is configured to determine a touch azimuth characteristic of the finger touch area according to the sensing point positions and touch sensing amounts of the sensing points and the constructed second-order gaussian function; the second order gaussian function is used to characterize the relationship between the sensing point location and the touch sensing quantity.
In one embodiment, the second order gaussian function is:
x′＝(x-x0)cosθ-(y-y0)sinθ
wherein y' = (x-x 0)sinθ+(y-y0) cos θ
Wherein, I xy represents the touch sensing quantity corresponding to the sensing point position (x, y), the (x 0,y0) represents the central point coordinate of the finger touch area, and w x and w y represent the axial length of the elliptical finger touch area; θ represents the direction angle between the major axis of the elliptical finger touch area and the horizontal direction, and a represents the amplitude.
In an embodiment, the data obtaining module 420 is specifically configured to obtain the sensing point positions and the touch sensing amounts of the sensing points in the finger touch area.
For a detailed description of the analysis device 400 for touch-screen finger characteristics, please refer to the description of the related method steps in the above embodiment, which is not repeated here.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored on a computer readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method of the embodiments of the present application. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In the several embodiments provided in the present application, the disclosed apparatus and method may be implemented in other manners. The apparatus embodiments described above are merely illustrative, for example, of the flowcharts and block diagrams in the figures that illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form a single part, or each module may exist alone, or two or more modules may be integrated to form a single part.
The above description is only of the preferred embodiments of the present application and is not intended to limit the present application, but various modifications and variations can be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (9)
1. A method for analyzing characteristics of a touch screen finger, comprising:
determining a finger touch area according to the touch sensing amount of each sensing point;
acquiring sensing point positions and touch sensing amounts of a plurality of sensing points in the finger touch area;
Determining the touch azimuth characteristics of the finger touch area according to the sensing point positions and the touch sensing amounts of the sensing points and the constructed second-order Gaussian function; the second-order Gaussian function is used for representing the relation between the position of the sensing point and the touch sensing quantity;
The method comprises the steps of obtaining sensing point positions and touch sensing amounts of at least six sensing points in a finger touch area, substituting the sensing point positions and the touch sensing amounts of the at least six sensing points into the second-order Gaussian function, and calculating a center point coordinate, a direction included angle and an axial length of the finger touch area;
The second-order Gaussian function is:
x′＝(x-x0)cosθ-(y-y0)sinθ
wherein y' = (x-x 0)sinθ+(y-y0) cos θ
Wherein, I xy represents the touch sensing quantity corresponding to the sensing point position (x, y), the (x 0,y0) represents the central point coordinate of the finger touch area, and w x and w y represent the axial length of the elliptical finger touch area; θ represents the direction angle between the major axis of the elliptical finger touch area and the horizontal direction, and a represents the amplitude.
2. The method of claim 1, wherein determining the finger touch area based on the touch sensing amount of each sensing point comprises:
and if the touch sensing amount of the sensing points of a certain area is larger than the touch sensing amount of the surrounding sensing points, determining the area as a finger touch area.
3. The method of claim 1, wherein the obtaining the sensing point positions and the touch sensing amounts of at least six sensing points in the finger touch area comprises:
Acquiring the position of a sensing point with the largest touch sensing amount in the finger touch area and corresponding touch sensing amount;
Searching at least five adjacent sensing points in a preset range of the sensing point position with the largest touch sensing quantity;
and acquiring the sensing point position and the corresponding touch sensing amount of each adjacent sensing point.
4. The method of claim 1, wherein after said calculating the center point coordinates, the included angle in the direction, and the axial length of the finger touch area, the method further comprises:
and constructing an elliptical finger pressing range according to the coordinates of the central point, the direction included angle and the axial length.
5. An analysis device for touch screen finger characteristics, comprising:
The area determining module is used for determining a finger touch area according to the touch sensing quantity of each sensing point;
the data acquisition module is used for acquiring the sensing point positions and the touch sensing amounts of a plurality of sensing points in the finger touch area;
The characteristic analysis module is used for determining the touch azimuth characteristic of the finger touch area according to the sensing point positions and the touch sensing amounts of the sensing points and the constructed second-order Gaussian function; the second-order Gaussian function is used for representing the relation between the position of the sensing point and the touch sensing quantity;
The method comprises the steps of obtaining sensing point positions and touch sensing amounts of at least six sensing points in a finger touch area, substituting the sensing point positions and the touch sensing amounts of the at least six sensing points into the second-order Gaussian function, and calculating a center point coordinate, a direction included angle and an axial length of the finger touch area;
The second-order Gaussian function is:
x′＝(x-x0)cosθ-(y-y0)sinθ
wherein y' = (x-x 0)sinθ+(y-y0) cos θ
Wherein, I xy represents the touch sensing quantity corresponding to the sensing point position (x, y), the (x 0,y0) represents the central point coordinate of the finger touch area, and w x and w y represent the axial length of the elliptical finger touch area; θ represents the direction angle between the major axis of the elliptical finger touch area and the horizontal direction, and a represents the amplitude.
6. The apparatus of claim 5, wherein the data acquisition module is configured to acquire sensing point positions and touch sensing amounts of a plurality of sensing points in the finger touch area.
7. An electronic device, the electronic device comprising:
A processor;
a memory for storing processor-executable instructions;
Wherein the processor is configured to perform the method of analyzing touch screen finger characteristics of any of claims 1-4.
8. A computer readable storage medium, characterized in that the storage medium stores a computer program executable by a processor to perform the method of analyzing touch screen finger characteristics according to any of claims 1-4.
9. A touch device, the touch device comprising:
A touch panel;
The touch circuit is connected with the touch panel and is used for executing the analysis method of the touch screen finger characteristics according to any one of claims 1-4.
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| Rethinking the Dual Gaussian Distribution Model for Predicting Touch Accuracy in On-screen-start Pointing Tasks;Shota Yamanaka et al.,;Proceedings of the ACM on Human-Computer Interaction;20201104;第4卷;第1-20页 * |
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