TW202319895A - Method for analyzing finger touching direction, touch apparatus, and information processing apparatus determining a finger touching direction based on this central point, the major axis and the minor axis - Google Patents

Abstract

This invention mainly discloses a method for analyzing a finger touching direction, which is implemented by a touch circuit and includes the following steps: receiving M sensing data containing a sensing value and a two-dimensional coordinate from a touch panel; finding a first sensing data from the M sensing data, and then finding N second sensing data outwards by using the two-dimensional coordinate of the first sensing data as a center point; expressing a finger touching area including the M sensing data by using a second-order Gaussian function, and then converting the second-order Gaussian function into a matrix equation; solving six parameters by using an inverse matrix algorithm and N second sensing data, and then calculating a centrifugal angle, a major axis and a minor axis of the finger touching area by using these six parameters. Accordingly, based on this center point, the major axis and the minor axis, a finger touching direction is determined.

Description

Method for analyzing finger touch screen pointing, touch device, and information processing device

The invention relates to the technical field of touch operation, in particular to a method for analyzing finger touch screen pointing.

As is known, touch devices have been widely used in various electronic devices. FIG. 1 shows a block diagram of a conventional touch device. As shown in FIG. 1 , a conventional touch device 1a mainly includes a touch panel 11a and a touch circuit 12a, wherein the touch panel 11a is usually integrated into an electronic device with a display screen (such as a smart phone) among. Here, it should be added that what is shown in FIG. 1 is not used to present the structure of the touch panel 11a, but is used to exemplarily show that the touch panel 11a includes a plurality of sensors 111a.

Taking a capacitive touch panel as the touch panel 11a as an example, when the user presses the front panel (that is, the glass cover) of the smart phone with a finger, the plurality of sensors 111a of the touch panel 11a can be After valid data is sensed, the touch control circuit 12a can determine the touch operation completed by the user with his finger after data processing is performed on a plurality of valid data. In actual use, users may use their left or right hands to perform touch operations according to personal habits or usage needs, but the user interface of the smartphone will not be properly adjusted according to the user's usage habits, which will affect User experience.

Therefore, Chinese Patent Publication No. CN101916161A discloses a method for selecting an interface mode based on finger pressing area graphics, the method includes three main steps: (1) obtaining the pressing area graphics of fingers; (2) according to the pressing area graphics in the The fingerprint pattern determines the user's finger pointing; and (3) selects an interface mode according to the finger pointing, and the interface mode includes: a left-handed interface mode and a right-handed interface mode.

In more detail, in order to sense the elliptical outline of the user's finger, the touch circuit 12a must first obtain enough effective sensing data, so that after completing a series of data processing procedures, it can determine the elliptical outline of the finger and the fingerprint Fingerprint distribution, and finally determine the finger pointing according to the fingerprint texture distribution. For example, when the user performs a touch operation with the right hand, the fingers point from upper left to lower right (or called lower right to upper left). Conversely, when the user performs a touch operation with the left hand, the fingers point from upper right to lower left (or called lower left to upper right). Unfortunately, the conventional method has obvious defects in practical application, that is, the touch circuit 12a needs to consume a large amount of computing resources in the process of determining the elliptical contour of the finger and analyzing the distribution of fingerprint lines, so that the touch circuit 12a 12a Analyze the impact of the user's touch operation based on the data of multiple touch points.

In view of this, Chinese Patent No. CN104641341B proposes to set an additional touch area feature recognition module in an electronic device with a display screen (such as a smart phone) to detect the touch area during the user's touch operation. The touch operation system is realized by using the left or right hand. It is a pity that the additional touch area feature recognition module increases the equipment cost.

It can be seen from the above description that there is an urgent need in the art for a method for analyzing finger touch screen pointing.

The main purpose of the present invention is to provide a method for analyzing finger touch screen pointing. In particular, the method of the present invention uses a second-order Gaussian function to express a finger touch screen area covering a plurality of sensing data, and then, after converting the second-order Gaussian function into a matrix equation, uses an inverse matrix algorithm and at least 6 sensing data Data just can obtain the solution of this matrix equation, thus continue to calculate a eccentric angle, a long axis, and a short axis of this finger touch screen area (that is, ellipse area), and then according to this center point, this long axis and a The short axis easily determines the pointing of a finger touching the screen.

In the case of applying the method of the present invention, the touch device including the touch panel and the touch circuit does not need additional hardware for feature recognition of the finger touch screen area. Moreover, the touch circuit only needs to use at least 6 sensing data to solve a matrix equation to determine the finger pointing when the finger touches the screen, without processing all the sensing data to obtain the distribution of fingerprint lines.

In order to achieve the above object, the present invention proposes an embodiment of the method for analyzing finger touch screen pointing, which is implemented by a touch circuit, and includes the following steps:

receiving M sensing data including a sensing value and a two-dimensional coordinate from a touch panel, where M is an integer greater than 1;

Find a first sensing data from among the M sensing data, and then use the two-dimensional coordinate of the first sensing data as a center point to find out N second sensing data; wherein , N is an integer greater than 1, the first sensing data and the N second sensing data are the first N+1 with the largest sensing value among the M sensing data, and the first The sensing value of one sensing data is greater than the sensing value of any one of the second sensing data;

A finger touch screen area covering M sensing data is expressed by a second-order Gaussian function, and then the second-order Gaussian function is converted into a matrix equation A _{N ×1} =B _{N ×J} C _{J ×1} ; wherein, A _{N ×1} is an N×1 matrix composed of the sensing values of N pieces of the second sensing data, C _{J ×1} is a J×1 matrix composed of J parameters, B _{N ×J} is a N×J matrix, and J is a positive integer;

Using the inverse matrix algorithm and the N second sensing data to solve the J parameters, and then using the J parameters to calculate a centrifugal angle, a major axis, and a minor axis of the finger touch screen area , so as to determine a finger touch screen pointing according to the center point, the major axis and the minor axis.

In one embodiment, N is at least 6.

； In one embodiment, the finger touch screen area expressed by the second-order Gaussian function satisfies the following mathematical formula:

;

為所述第二感測數據之所述感測值，

為該手指觸屏區域的面積，

為誤差值，

為該短軸，且

為該長軸； in,

is the sensing value of the second sensing data,

is the area of the finger touch screen area,

is the error value,

is the minor axis, and

is the major axis;

； in,

;

； in,

;

,

)為該中心點之二維座標，(

,

)為所述第二感測數據之二維座標，且θ為該離心角。 in,(

,

) is the two-dimensional coordinates of the center point, (

,

) is the two-dimensional coordinates of the second sensing data, and θ is the centrifugal angle.

；

；

；

；

；

。 In one embodiment, J is 6, and the J parameters are respectively represented by the following 6 mathematical formulas:

;

;

;

;

;

.

The present invention also proposes a touch device, comprising a touch panel and a touch circuit, characterized in that, the touch circuit executes a method for analyzing the pointing of the finger on the touch screen when a finger touches the touch panel. Determine the pointing of a finger touching the screen, and the method for analyzing the pointing of the finger touching the screen further comprises the following steps:

receiving M sensing data including a sensing value and a two-dimensional coordinate from a touch panel, where M is an integer greater than 1;

Find a first sensing data from among the M sensing data, and then use the two-dimensional coordinate of the first sensing data as a center point to find out N second sensing data; wherein , N is an integer greater than 1, the first sensing data and the N second sensing data are the first N+1 with the largest sensing value among the M sensing data, and the first The sensing value of one sensing data is greater than the sensing value of any one of the second sensing data;

A finger touch screen area covering M sensing data is expressed by a second-order Gaussian function, and then the second-order Gaussian function is converted into a matrix equation A _{N ×1} =B _{N ×J} C _{J ×1} ; wherein, A _{N ×1} is an N×1 matrix composed of the sensing values of N pieces of the second sensing data, C _{J ×1} is a J×1 matrix composed of J parameters, and B _{N ×J} is an N x J matrix;

Using the inverse matrix algorithm and the N second sensing data to solve the J parameters, and then using the J parameters to calculate a centrifugal angle, a major axis, and a minor axis of the finger touch screen area , so as to determine a finger touch screen pointing according to the center point, the major axis and the minor axis.

In one embodiment, the touch panel is selected from the group consisting of capacitive touch panel, resistive touch panel, pressure touch panel, optical touch panel and acoustic wave touch panel either of.

； In one embodiment, the finger touch screen area expressed by the second-order Gaussian function satisfies the following mathematical formula:

;

為所述第二感測數據之所述感測值，

為該手指觸屏區域的面積，

為誤差值，

為該短軸，且

為該長軸； in,

is the sensing value of the second sensing data,

is the area of the finger touch screen area,

is the error value,

is the minor axis, and

is the major axis;

； in,

;

； in,

;

,

)為該中心點之二維座標，(

,

)為所述第二感測數據之二維座標，且θ為該離心角。 in,(

,

) is the two-dimensional coordinates of the center point, (

,

) is the two-dimensional coordinates of the second sensing data, and θ is the centrifugal angle.

；

；

；

；

；

。 In one embodiment, J is 6, and the J parameters are respectively represented by the following 6 mathematical formulas:

;

;

;

;

;

.

Furthermore, the present invention also provides an information processing device, which has the aforementioned touch device of the present invention.

In one embodiment, the information processing device is selected from the group consisting of smart TV, smart TV mobile phone, tablet computer, notebook computer, all-in-one computer, access control device, punching device, and electronic door lock One of the electronic devices.

In order to enable your examiners to further understand the structure, features, purpose, and advantages of the present invention, drawings and detailed descriptions of preferred specific embodiments are hereby attached.

The invention discloses a method for analyzing finger touch screen pointing. In particular, the method of the present invention uses a second-order Gaussian function to express a finger touch screen area covering a plurality of sensing data, and then, after converting the second-order Gaussian function into a matrix equation, uses an inverse matrix algorithm and at least 6 sensing data Data just can obtain the solution of this matrix equation, thereby continue to calculate a centrifugal angle, a long axis, and a short axis of this finger touch screen area (that is, ellipse area), finally according to this center point, this long axis and The short axis easily determines the pointing of a finger touching the screen.

FIG. 2 shows a block diagram of a touch device to which a method for analyzing finger touch screen pointing of the present invention is applied. As shown in FIG. 2 , the touch device 1 mainly includes a touch panel 11 and a touch circuit 12, and the touch circuit 12 executes the finger analysis method of the present invention when a finger touches the touch panel 11. The touch screen pointing method to determine a finger touch screen pointing. Here, it needs to be added that what is shown in FIG. 2 is not used to present the structure of the touch panel 11, but is used to exemplarily indicate that the touch panel 11 includes a plurality of sensors 111 (also can be referred to as a plurality of sensing points). In a feasible embodiment, the touch panel 11 can be a capacitive touch panel, a resistive touch panel, a pressure touch panel, an optical touch panel, or an acoustic wave touch panel.

,

)從而向外找出N個第二感測數據，其中N為大於1的整數。值得說明的是，該第一感測數據和N個所述第二感測數據為M個所述感測數據之中具有最大所述感測值的前N+1個，且第一感測數據的所述感測值又大於任一個所述第二感測數據的所述感測值。 FIG. 3 shows a flow chart of a method for analyzing finger touch screen pointing in the present invention. As shown in FIG. 2 and FIG. 3 , under the situation that a finger touches the touch panel 11, the touch circuit 12 firstly executes step 1: receiving M values including a sensing value and a dimensional coordinate sensing data, wherein M is an integer greater than 1. Next, step 2 is performed: finding a first sensing data from among the M sensing data, and then taking the two-dimensional coordinate of the first sensing data as a center point (

,

) to find out N pieces of second sensing data, wherein N is an integer greater than 1. It is worth noting that the first sensing data and the N second sensing data are the first N+1 of the M sensing data having the largest sensing value, and the first sensing data The sensing value of the data is greater than any of the sensing values of the second sensing data.

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 The touch panel 11 includes 32×18 sensors (ie, sensing points) 111, and the touch circuit 12 receives 32×18 sensing data from the touch panel 11, and the touch circuit 12 executes step S1 Therefore, one first sensing data and N second sensing data are found from the 32×18 sensing data, which are organized as shown in the following table (1). Wherein, the first sensing data includes two-dimensional coordinates (18, 9) and sensing value 901, and other data are the N second sensing data. Table 1) x the y Sensing value

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

…………(1) After step 2 is completed, the method proceeds to step 3: expressing a finger touch screen area covering the M sensing data with a second-order Gaussian function, and then transforming the second-order Gaussian function into a matrix equation. In more detail, the finger touch screen area expressed by the second-order Gaussian function satisfies the following mathematical formula:

…………(1)

為所述第二感測數據之所述感測值，

為該手指觸屏區域(即，一橢圓區域)的面積，

為誤差值，

為橢圓區域的短軸，且

為橢圓區域的長軸。進一步地，式(1)中的

與

由如下所示之數學式所表示：

………(1.1)

………(1.2) In the above formula (1),

is the sensing value of the second sensing data,

is the area of the finger touch screen area (that is, an elliptical area),

is the error value,

is the minor axis of the ellipse, and

is the major axis of the ellipse. Further, in formula (1)

and

Expressed by the mathematical formula shown below:

………(1.1)

………(1.2)

,

)為該中心點之二維座標，(

,

)為所述第二感測數據之二維座標，且θ為離心角。進一步地，將式(1.1)和式(1.2)代入式(1)之後，對式(1)再行取ln，則可獲得如下所示之數學式：

…………(3) In the above formula (1.1) and formula (1.2), (

,

) is the two-dimensional coordinates of the center point, (

,

) is the two-dimensional coordinates of the second sensing data, and θ is the centrifugal angle. Further, after substituting formula (1.1) and formula (1.2) into formula (1), and taking ln for formula (1), the following mathematical formula can be obtained:

…………(3)

)，且C _{6 ×1}由6個參數所組成的一個6×1矩陣(即，

、

、

、

、

、與

)。並且，對應於

、

、

、

、

、與

)，可以理解B _{N ×6}為利用

、

、

、

、

以及和1組成的一個N×6矩陣。更詳細地說明，6個所述參數分別為

、

、

、

、

、以及

，且分別由如下所示6個數學式所表示：

；

；

；

；

；以及

。 Therefore, according to the operation principle of linear algebra, formula (3) can be further transformed into a matrix equation (or vector equation): A _{N ×1} =B _{N ×6} C _{6 ×1} . Wherein, A _{N ×1} is an N×1 matrix composed of the sensing values of the N second sensing data (that is, the N

), and C _{6 ×1} is a 6×1 matrix composed of 6 parameters (ie,

,

,

,

,

,and

). and, corresponding to

,

,

,

,

,and

), it can be understood that B _{N ×6} is the use of

,

,

,

,

and an N×6 matrix of 1 and 1. In more detail, the six parameters are

,

,

,

,

,as well as

, and are represented by the following six mathematical formulas:

;

;

;

;

;as well as

.

In step S4, it is only necessary to use the inverse matrix algorithm and the N second sensing data to solve the 6 parameters, and then use the 6 parameters to calculate a eccentric angle of the finger touch screen area, A long axis and a short axis, so as to determine the pointing of a finger touching the screen. In more detail, the operation process of the inverse matrix algorithm is as follows:

It is worth noting that the common inverse matrix algorithm (ie, matrix inversion) needs to satisfy that the matrix itself is invertible (ie, the matrix must be a non-singular matrix). However, when matrix inversion is required in practical applications, there are often irreversible non-square matrices (ie, singular matrices) in the matrix equations. However, the matrix inversion of singular/non-singular matrices can be realized by using the calculation process of the inverse matrix calculation algorithm shown above.

以及

、

、

、

、

皆為來自於N個所述第二感測數據(可參考上表(1))，因此利用反矩陣演算法以及N個所述第二感測數據可以解出6個所述參數

、

、

、

、

、以及

。進一步地，利用如下所示幾個數學式可以計算出該手指觸屏區域(即，橢圓區域)的離心角、長軸以及短軸：

………………(4)

………(5)

………(6) As stated in N

as well as

,

,

,

,

All come from the N second sensing data (refer to the above table (1)), so the 6 parameters can be solved by using the inverse matrix algorithm and the N second sensing data

,

,

,

,

,as well as

. Further, the centrifugal angle, major axis and minor axis of the finger touch screen area (ie, elliptical area) can be calculated by using several mathematical formulas as shown below:

………………(4)

………(5)

………(6)

、

、

、

、

、和

)之矩陣C _{6 ×1}。 表(2) 參數 數值

-0.1318

0.8682

1.8682

2.8682

3.8682

4.8682 For example, using the data in table (1) can be calculated as shown in the following table (2) contains 6 parameters (that is,

,

,

,

,

,and

) matrix C _{6 ×1} . Table 2) parameter value

-0.1318

0.8682

1.8682

2.8682

3.8682

4.8682

Next, the centrifugal angle θ=28.1395 can be calculated using the data in Table (2) and the above formula (4). And, using the data in Table (2) and the above formula (5), the minor axis Wx=2.4348 can be calculated. Further, the major axis Wy=1.2961 can be calculated using the data in Table (2) and the above formula (6). Finally, after obtaining all the basic parameters of the area touched by the finger (ie, the elliptical area), the pointing of a finger on the screen can be determined.

In this way, the above has completely and clearly described a method for analyzing finger touch screen pointing of the present invention; and, through the above, it can be known that the present invention has the following advantages:

(1) The present invention discloses a method for analyzing finger touch screen pointing. In particular, the method of the present invention uses a second-order Gaussian function to express a finger touch screen area covering a plurality of sensing data, and then, after converting the second-order Gaussian function into a matrix equation, uses an inverse matrix algorithm and at least 6 sensing data Data just can obtain the solution of this matrix equation, thus continue to calculate a eccentric angle, a long axis, and a short axis of this finger touch screen area (that is, ellipse area), and then according to this center point, this long axis and a The short axis easily determines the pointing of a finger touching the screen.

(2) It is understandable that with the increase of N values, the calculation accuracy will also be improved, but at the same time, the touch circuit will consume more computing resources. In other words, for a touch circuit with a high-level processing chip, naturally a higher value of N can be set. Conversely, a touch circuit using a mid-to-low-end process chip can set a low N value. It can be seen from this that the method for analyzing finger touch screen pointing of the present invention can be applied to high, medium and low-end touch chips, and the applicability is quite extensive.

(3) In the case of applying the method of the present invention, the touch device including the touch panel and the touch circuit does not need additional hardware for feature recognition of the finger touch screen area. Moreover, the touch circuit only needs to use at least 6 sensing data to solve a matrix equation to determine the finger pointing when the finger touches the screen, without processing all the sensing data to obtain the distribution of fingerprint lines.

(4) The present invention discloses a touch control device at the same time, which includes a touch panel and a touch circuit, and is characterized in that the touch circuit executes the finger analysis method of the present invention when a finger touches the touch panel. The touch screen pointing method to determine a finger touch screen pointing.

(5) The present invention also provides an information processing device, which is characterized by having the touch device of the present invention as described above. In one embodiment, the information processing device is selected from the group consisting of smart TV, smart TV mobile phone, tablet computer, notebook computer, all-in-one computer, access control device, punching device, and electronic door lock One of the electronic devices.

It must be emphasized that what is disclosed in the above-mentioned case is a preferred embodiment, and all partial changes or modifications derived from the technical ideas of this case and easily deduced by those familiar with the technology are all inseparable from the patent of this case. category of rights.

To sum up, regardless of the purpose, means and efficacy of this case, it shows that it is very different from the conventional technology, and its first invention is practical, and it does meet the patent requirements of the invention. I implore your review committee to understand clearly and grant a patent as soon as possible to benefit you Society is for the Most Prayer.

1a: Touch device 11a: Touch panel 111a: Sensor 12a: Touch circuit 1: Touch device 11: Touch panel 111: sensor 12: Touch circuit S1: Receive M pieces of sensing data including a sensing value and a two-dimensional coordinate from a touch panel S2: Find a first sensing data from among the M sensing data, and then use the two-dimensional coordinate of the first sensing data as a center point to find out N second sensing data. S3: express a finger touch screen area covering M said sensing data with a second-order Gaussian function, then convert the second-order Gaussian function into a matrix equation S4: use the inverse matrix algorithm and the N second sensing data to solve 6 parameters, and then use the 6 parameters to calculate a centrifugal angle, a long axis, and a short axis of the finger touch screen area , so as to determine the pointing of a finger touching the screen

FIG. 1 is a block diagram of a known touch device; FIG. 2 is a block diagram showing a touch device applied with a method of analyzing finger touch screen pointing of the present invention; and FIG. 3 is a flow chart of a method for analyzing finger touch screen pointing according to the present invention.

S1: Receive M pieces of sensing data including a sensing value and a two-dimensional coordinate from a touch panel

S2: Find a first sensing data from among the M sensing data, and then use the two-dimensional coordinate of the first sensing data as a center point to find out N second sensing data

S3: express a finger touch screen area covering M said sensing data with a second-order Gaussian function, then convert the second-order Gaussian function into a matrix equation

S4: use the inverse matrix algorithm and the N second sensing data to solve 6 parameters, and then use the 6 parameters to calculate a centrifugal angle, a long axis, and a short axis of the finger touch screen area , so as to determine the pointing of a finger touching the screen

Claims (10)

A method for analyzing finger touch screen pointing is implemented by a touch circuit, and includes the following steps: receiving M sensing data including a sensing value and a two-dimensional coordinate from a touch panel, where M is greater than 1 Integer; find out a first sensing data from the M sensing data, and then use the two-dimensional coordinate of the first sensing data as a center point to find out N second sensing data ; Wherein, N is an integer greater than 1, the first sensing data and the N second sensing data are the first N+1 with the largest sensing value among the M sensing data, And the sensing value of the first sensing data is greater than any of the sensing values of the second sensing data; a finger touch screen covering M sensing data is expressed by a second-order Gaussian function area, and then convert the second-order Gaussian function into a matrix equation A _{N ×1} =B _{N ×J} C _{J ×1} ; wherein, A _{N ×1} is composed of the sensing values using N pieces of the second sensing data A N×1 matrix, C _{J ×1} is a J×1 matrix composed of J parameters, B _{N ×J} is an N×J matrix, and J is a positive integer; using the inverse matrix algorithm and N all J parameters are obtained from the second sensing data, and then a eccentric angle, a major axis, and a minor axis of the finger touch screen area are calculated by using the J parameters, so as to determine a finger touch screen orientation. The method for analyzing finger touch screen pointing as described in Claim 1, wherein N is at least 6. The method for analyzing finger touch screen pointing as described in claim 1, wherein the finger touch screen area expressed by the second-order Gaussian function satisfies the following mathematical formula:

; in,

is the sensing value of the second sensing data,

is the area of the finger touch screen area,

is the error value,

is the minor axis, and

is the major axis; where,

; in,

; in,(

,

) is the two-dimensional coordinates of the center point, (

,

) is the two-dimensional coordinates of the second sensing data, and θ is the centrifugal angle. The method for analyzing finger touch screen pointing as described in claim 3, wherein J is 6, and the J parameters are respectively represented by the following 6 mathematical formulas:

;

;

;

;

;

. A touch device, comprising a touch panel and a touch circuit, characterized in that the touch circuit executes a method for analyzing the touch screen pointing of a finger when a finger touches the touch panel to determine a finger touch Screen pointing, and the method for analyzing finger touch screen pointing further includes the following steps: receiving M sensing data including a sensing value and a two-dimensional coordinate from a touch panel, where M is an integer greater than 1; A first sensing data is found out of the sensing data, and N second sensing data are found out by taking the two-dimensional coordinate of the first sensing data as a center point; wherein, N is an integer greater than 1, the first sensing data and the N second sensing data are the first N+1 with the largest sensing value among the M sensing data, and the first sensing data The sensing value of the sensing data is greater than any of the sensing values of the second sensing data; using a second-order Gaussian function to express a finger touch screen area covering M sensing data, and then The second-order Gaussian function is converted into a matrix equation A _{N ×1} =B _{N ×J} C _{J ×1} ; wherein, A _{N ×1} is an N× 1 matrix, C _{J ×1} is a 6×1 matrix composed of J parameters, B _{N ×J} is an N×J matrix, and J is a positive integer; using the inverse matrix algorithm and N second sense The J parameters are obtained from the measured data, and then a eccentric angle, a major axis, and a minor axis of the finger touch screen area are calculated by using the J parameters, so as to determine a finger touch screen pointing. The touch device according to claim 5, wherein N is at least 6. The touch device as described in claim 5, wherein the finger touch screen area expressed by the second-order Gaussian function satisfies the following mathematical formula:

; in,

is the sensing value of the second sensing data,

is the area of the finger touch screen area,

is the error value,

is the minor axis, and

is the major axis; where,

; in,

; in,(

,

) is the two-dimensional coordinates of the center point, (

,

) is the two-dimensional coordinates of the second sensing data, and θ is the centrifugal angle. The touch device as described in claim 7, wherein J is 6, and the J parameters are respectively represented by the following 6 mathematical formulas:

;

;

;

;

;

. The touch device as described in claim 5, wherein the touch panel is selected from a capacitive touch panel, a resistive touch panel, a pressure touch panel, an optical touch panel, and an acoustic wave touch panel. Any of the groups of panels. An information processing device, characterized by having a touch device as described in any one of claim 5 to claim 9.

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