WO2019014858A1 - Touch detection method and touch detection device - Google Patents

Abstract

Disclosed in the present application are a touch detection method and a touch detection device. The method comprises: determining a touch area according to the amount of change in signals of a plurality of capacitive sensing nodes; and in the case where a plurality of touch areas are determined, determining whether the plurality of touch areas are single-finger touch or multi-finger touch according to a distribution rule of the amount of change in signals of the capacitive sensing nodes on the plurality of touch areas. Thus, even in the case of poor grounding, the one-finger touch and the multi-finger touch can be accurately recognized according to the distribution rule of the amount of change in signals of the capacitive sensing nodes on the touch areas.

Description

Touch detection method and touch detection device Technical field

The present application relates to the field of information technology, and more particularly, to a touch detection method and a touch detection device.

Background technique

With the development of human-machine interface technology, touch-sensing technology has been widely used due to its comfortable operation and convenience. Especially in consumer electronics such as notebook computers, mobile phones, and MP3s, touch pads, touch screens, and touch buttons are widely used in such electronic products. Among the touch technologies, the more advanced one is capacitive touch technology.

The capacitive touch screen is composed of a touch sensor and a touch controller. The touch sensor panel is composed of a set of sensing lines and a set of driving lines, and the positions where the driving lines and the sensing lines intersect form a plurality of capacitive sensing nodes. When there is a touch, the capacitance value of the capacitive sensing node at the corresponding position changes, and the touch controller can detect the change of the capacitance in real time, can determine the corresponding touch position, calculate the point coordinate of the corresponding position of the touch position, thereby generating a corresponding touch. event. When the finger and the touch panel are well grounded, the finger touch is the actual capacitance value, and the amount of change before and after the touch can truly reflect the touch position.

However, when the ground of the finger and the touch panel is poor, the capacitance value output by the capacitive sensing node may be deviated from the actual value. In this case, if the touch area is large, for example, when the thumb is touched, a touch area may be formed as a touch area, and a single-finger touch may be recognized as a multi-finger touch, that is, a split point phenomenon occurs, thereby Affect the user experience. Therefore, how to identify single-finger touch and multi-finger touch when grounding is poor becomes an urgent problem to be solved.

Summary of the invention

Embodiments of the present application provide a touch detection method and apparatus capable of accurately identifying a single-finger touch and a multi-finger touch.

In a first aspect, a touch detection method is provided, including: determining a touch area according to a signal change amount of a plurality of capacitive sensing nodes;

When there are multiple touch regions, signals according to capacitance sensing nodes of the plurality of touch regions The distribution rule of the amount of change determines whether the plurality of touch regions are single-finger touch or multi-finger touch.

In this way, the single-finger touch and the multi-finger touch are recognized by the distribution rule of the signal variation amount of the capacitive sensing node on the touch area, and the single-finger touch and the multi-finger touch can be accurately distinguished even when the grounding is poor.

When there is only one touch area, it is determined to be a single-finger touch. When there are multiple touch areas, it may be a multi-finger touch or a single-finger touch. When the grounding is poor, the distribution of the signal variation of the capacitive sensing node when the single-finger touch is similar to the distribution of the signal variation of the capacitive sensing node when the multi-finger touch is used, and it is likely to be recognized as a multi-finger touch. Therefore, it is necessary to identify whether the plurality of touch regions are single-finger touch or multi-finger touch according to a distribution rule of a signal variation amount of the capacitive sensing nodes of the plurality of touch regions.

For single-finger and multi-finger touches, in general, the multi-finger touch will have a jump in the row or column of the capacitive sensing node with a semaphore change on the edge of the touch area. In the case of a single-finger touch, the starting point of the edge is relatively compact, and generally forms an approximately elliptical shape. The capacitive sensing nodes of the first signal change amount greater than the second threshold are connected at each end of each line of the touch region. An ellipse.

In some possible implementation manners, determining, according to a distribution rule of a signal variation amount of the capacitive sensing nodes of the plurality of touch regions, determining whether the plurality of touch regions are single-finger touch or multi-finger touch, including: determining proximity Determining whether the capacitive sensing node of the edge of the target area composed of the plurality of touch regions satisfies a target distribution rule; if the capacitive sensing node near the edge of the target region satisfies the target distribution rule, determining that the plurality of touch regions are multi-finger touch.

Further, if the capacitive sensing node near the edge of the target area does not satisfy the target distribution rule, although it is likely to be a single touch at this time, in order to more accurately determine whether the multiple touch areas are single touches, The plurality of touch regions may be further determined to be a single-finger touch according to a numerical characteristic of a signal variation amount of the capacitance sensing node of the touch region when the single finger is touched.

In some possible implementations, the method further includes: if a capacitive sensing node near an edge of the target area does not satisfy the target distribution rule, according to a signal variation of a capacitive sensing node near a center of the target area, It is further determined whether the plurality of touch regions are single-finger touch or multi-finger touch.

In some possible implementation manners, the target distribution rule is: in the target area, a column in which the first edge node in the ith row capacitance sensing node is located, and a parameter in the i+1th row capacitance sensing node The distance between the columns in which the edge node is located is greater than the first threshold, and the column of the second edge node of the i-th row of capacitive sensing nodes is the second one of the capacitive sensing nodes of the (i+1)-th row The distance between the columns in which the edge node is located is greater than the first threshold, wherein the first edge node is a capacitive sensing node whose first signal change amount is greater than a second threshold from the left end, and the second edge node is a right end The first signal-sensing node whose signal variation is greater than the second threshold, the value of i is 1 to P, and P is the total number of rows of the capacitive sensing nodes in the target area.

In some possible implementations, the determining, by the amount of signal change of the capacitive sensing node near the center of the target area, whether the plurality of touch areas are single-finger touch or multi-finger touch comprises: determining proximity to the target M rows × N columns of capacitive sensing nodes in the center of the region, M and N are preset positive integers; calculating an average value of signal changes of the M rows × N columns of capacitive sensing nodes, and dividing the target region The average value of the signal change amount of the other capacitive sensing nodes except the M row × N columns of capacitive sensing nodes; if the average value of the signal variation of the M rows × N columns of capacitive sensing nodes is smaller than the other capacitors The average value of the signal change amount of the sensing node determines that the plurality of touch regions are single-finger touches; if the average value of the signal changes of the M rows×N columns of capacitive sensing nodes is greater than or equal to the other capacitors The average value of the signal change amount of the sensing node determines that the plurality of touch regions are multi-finger touches.

It should be understood that the plurality of touch regions may be determined to be a single-finger touch or a multi-finger touch by determining a position change curve of the first edge node and the second edge node in the plurality of rows of capacitive sensing nodes. The position change curve can be a curve in which the number of columns varies with the number of rows. Taking the distribution rule of the first edge node in the multi-line capacitive sensing node as an example, the first edge node of each row is a capacitive sensing node whose first signal change amount is greater than the second threshold value from the left end of the row. When the number of rows increases sequentially, if there is a significant jump between the number of columns in the adjacent row, that is, the curve is abrupt, it is determined that the plurality of touch regions are multi-finger touches; The number of columns in which the first edge node is located changes gently, without jumping, and the curve exhibits a tendency to increase or decrease recursively, and then the plurality of touch regions are determined to be single-finger touches.

It should also be understood that the target area composed of the plurality of touch areas is not necessarily a regular pattern, and the capacitance sensing nodes of the target area are not necessarily distributed according to the regularity of m rows×n columns.

It should also be understood that the target distribution rule may also be: in the target area, the column of the first edge node in the ith row capacitance sensing node and the first edge node in the i+1 row capacitance sensing node are located. The distance between the columns is less than the first threshold, and the column of the second edge node in the capacitive sensing node of the i-th row is between the column of the second edge node of the capacitive sensing node of the i+1th row The distance is less than the first threshold. The first edge node is a capacitive sensing node whose first signal change amount is greater than a second threshold from the left end, and the second edge node is the first signal change from the right end A capacitive sensing node having a quantity greater than the second threshold. At this time, if the first edge node and/or the second edge node of the multi-line capacitive sensing node of the target area does not satisfy the target distribution rule, it is determined that the plurality of touch areas are multi-finger touch; if the multi-line capacitive sensing node The first edge node and/or the second edge node satisfy the target distribution rule, and further determine whether the plurality of touch regions are single-finger touch or multi-finger touch according to a signal change amount of the capacitive sensing node near the center of the target region. .

It should also be understood that, in the embodiment of the present application, the capacitance sensing nodes of each column may be sequentially determined by column scanning to determine whether the edge capacitance sensing node satisfies the target distribution rule. At this time, the target distribution rule may be, for example, a row in which the first edge node in the k-th column capacitive sensing node is located in the target region, and a row in which the first edge node in the k+1th column capacitive sensing node is located. The distance between the lines is greater than the first threshold, and the distance between the row of the first edge node in the k-th column capacitance sensing node and the row of the second edge node in the k+1 column capacitance sensing node is greater than The first threshold, where k is a value from 1 to N, the total number of columns of capacitive sensing nodes in the N target region. The first edge node is a capacitive sensing node whose first signal change amount is greater than a second threshold from bottom to top. The second edge node is a capacitive sensing node whose first signal change amount is greater than a second threshold from top to bottom. At this time, if the first edge node and/or the second edge node of the multi-column capacitive sensing node of the target area satisfy the target distribution rule, it is determined that the multiple touch areas are multi-finger touch; otherwise, according to the center of the target area The capacitance senses the amount of signal change of the node, and further determines whether the plurality of touch regions are single-finger touch or multi-finger touch.

In this embodiment, the signal variation of the capacitive sensing node in the target area is analyzed to determine whether the "middle small four-large" feature is satisfied, that is, the signal variation of the central capacitive sensing node is smaller than the signal variation of the capacitive sensing node of the edge. If there is a feature of “middle small and large”, the plurality of touch regions are considered to be single-finger touches, and if there is no “middle small and large” feature, the plurality of touch regions are considered to be multi-finger touches.

In some possible implementations, the determining, by the amount of signal change of the capacitive sensing node near the center of the target area, whether the plurality of touch areas are single-finger touch or multi-finger touch comprises: determining proximity to the target M rows × N columns of capacitive sensing nodes in the center of the region, M and N are preset positive integers; calculating the flatness of the capacitance change of the M rows × N columns of capacitive sensing nodes, the flatness is equal to

Where K is the logarithm of the adjacent capacitive sensing nodes of the M rows×N columns of capacitive sensing nodes, and ΔC is the difference of the signal variations of the adjacent two capacitive sensing nodes, K is a positive integer, j is not a positive integer greater than K; if the flatness is less than or equal to a third threshold, determining that the plurality of touch regions are single-finger touches; and if the flatness is greater than a third threshold, determining that the plurality of touch regions are Multi-finger touch.

In this embodiment, by analyzing the signal variation of the capacitive sensing node near the center of the target area, it is determined whether the flatness of the signal change amount of the capacitive sensing node of the center satisfies the requirement, and if the flatness is less than the third threshold, it is considered to be more The touch areas are single-finger touches, otherwise the multiple touch areas are considered to be multi-finger touches.

It should be understood that, in the embodiment of the present application, when the amount of signal change of the capacitive sensing node near the edge of the target area does not satisfy the target distribution rule, the method may further determine the method by using at least one of mode 1 and mode 2. Whether the plurality of touch areas are single-finger touch or multi-finger touch.

In particular, when it is determined whether the plurality of touch regions are single-finger touches according to the manners 1 and 2, it is necessary to simultaneously satisfy S1≤S2 and

Less than the third threshold. This improves the accuracy of touch detection, thereby more accurately identifying single-finger and multi-finger touches.

In some possible implementations, when there are multiple touch regions, determining whether the plurality of touch regions are single-finger touch or more according to a distribution rule of a signal variation amount of the capacitive sensing nodes of the plurality of touch regions Referring to the touch, comprising: when there are multiple touch regions, and wherein a central distance between each of the plurality of touch regions and at least one of the other touch regions is less than a fourth threshold, according to the A distribution law of a signal variation amount of the capacitance sensing nodes of the plurality of touch regions determines whether the plurality of touch regions are single-finger touch or multi-finger touch.

Because if there is a touch area that is far away from other touch areas, the touch area is more likely to be formed by different finger touches with other touch areas. Only in the multiple touch areas that are closer to each other, the necessity of judging single touch and multi-touch is more necessary. Therefore, using the method of the embodiment of the present application to perform touch detection on a plurality of touch regions whose center distance is less than the fourth threshold can significantly improve the efficiency of touch detection.

In some possible implementations, when determining that the plurality of touch regions are single-finger touches, the method further includes: locking a minimum rectangular region including the plurality of touch regions to form a locking region; When the touched point is slid by the plurality of touch areas to the other plurality of touch areas overlapping the locked area, it is determined that the other plurality of touch areas are single-finger touches.

In some possible implementations, the method further includes: if the plurality of touch regions are determined to be a single-finger touch, reporting a location of the locked region; if the plurality of touch regions is determined to be a multi-finger touch, The respective positions of the plurality of touch regions are reported.

A second aspect provides a touch detection method, including: determining a touch area according to a signal change amount of a plurality of capacitive sensing nodes; and determining, when there are multiple touch areas, whether the plurality of touch areas overlap with a locked area, Wherein the locked area is a touch area including a previous frame a minimum rectangular area, and the touch area of the previous frame is a single-finger touch; if the plurality of touch areas overlap with the locked area, determining that the plurality of touch areas are single-finger touches.

In a third aspect, there is provided a touch detection apparatus comprising means for performing the method of the first aspect or any of the possible implementations of the first aspect.

In a fourth aspect, there is provided a touch detection apparatus comprising means for performing the method of any of the second aspect or any of the possible implementations of the second aspect.

In a fifth aspect, a touch detection apparatus is provided, including a processor and a memory. The memory is used to store instructions that the processor uses to execute the instructions. When the processor executes the instructions stored by the memory, the execution causes the processor to perform the method of the first aspect or any of the possible implementations of the first aspect.

In a sixth aspect, a touch detection apparatus is provided, comprising a processor and a memory. The memory is used to store instructions that the processor uses to execute the instructions. When the processor executes the instructions stored by the memory, the execution causes the processor to perform the method of any of the possible implementations of the second aspect or the second aspect.

According to a seventh aspect, a touch chip is provided, the touch chip comprising the touch detection device of the third aspect or the fifth aspect.

According to an eighth aspect, a touch chip is provided, the touch chip comprising the touch detection device of the fourth aspect or the sixth aspect.

According to a ninth aspect, there is provided an electronic device comprising the touch detection device of the third aspect or the fifth aspect, or the touch chip of the seventh aspect.

According to a tenth aspect, there is provided an electronic device comprising the touch detection device of the fourth aspect or the sixth aspect, or the touch chip of the eighth aspect.

In an eleventh aspect, a computer readable medium is provided for storing a computer program, the computer program comprising instructions for performing the method of the first aspect or any of the possible implementations of the first aspect.

According to a twelfth aspect, a computer readable medium is provided for storing a computer program comprising instructions for performing the method of any of the second aspect or any of the possible implementations of the second aspect.

DRAWINGS

Figure 1 is a schematic diagram of the principle of touch detection.

Fig. 2 is a schematic diagram showing a negative difference when the grounding is poor.

Fig. 3(a) shows the distribution of the signal change amount of the capacitive sensing node caused by the single-finger touch in the grounded state.

Fig. 3(b) shows the distribution of the signal change amount of the capacitive sensing node caused by the single-finger touch in the grounding failure state.

Fig. 3(c) shows the distribution of the amount of signal change of the capacitive sensing node caused by the multi-finger touch.

Figure 4 shows how the amount of signal change varies with the position of the capacitive sensing node.

FIG. 5 is a schematic flowchart of a touch detection method according to an embodiment of the present application.

FIG. 6( a ) is a schematic diagram of a touch area when a single-finger touch is applied to an embodiment of the present application.

FIG. 6(b) is a schematic diagram of a possible presence of multiple touch regions in an embodiment of the present application.

FIG. 6(c) is a schematic diagram of another possible presence of multiple touch regions in the embodiment of the present application.

FIG. 7 is a schematic diagram of a locking area of an embodiment of the present application.

FIG. 8 is a schematic flowchart of a touch detection method according to another embodiment of the present application.

FIG. 9 is a schematic flowchart of a touch detection method according to another embodiment of the present application.

FIG. 10 is a schematic block diagram of a touch detecting apparatus according to an embodiment of the present application.

11 is a schematic block diagram of a touch detecting device of another embodiment of the present application.

FIG. 12 is a schematic block diagram of a touch detecting apparatus according to still another embodiment of the present application.

FIG. 13 is a schematic block diagram of a touch detecting apparatus according to still another embodiment of the present application.

FIG. 14 is a schematic block diagram of a touch chip according to an embodiment of the present application.

Detailed ways

The technical solutions in the embodiments of the present application will be described below with reference to the accompanying drawings.

Figure 1 is a schematic diagram of the principle of touch detection. FIG. 1 illustrates a touch screen (or touch screen, touch panel) 100, a touch sensor 110, and a touch controller 120. Touch screen 100 can be, for example, a capacitive touch screen. The touch controller 120 may also be referred to as a touch screen control chip (referred to as a touch chip) or a touch detection module. The touch screen 100 includes P driving channels and Q sensing channels, and P and Q may be equal or unequal natural numbers. The touch controller 120 can be connected to P driving channels and Q sensing channels, respectively. The touch controller 120 outputs a driving signal to the P driving channels through the driving circuit, and receives or senses the sensing signals output by the Q sensing channels through the sensing circuit.

FIG. 1 shows P=4 and Q=4 as driving channels Tx1 to Tx4 and sensing channels Rx1 to Rx4. The position where each Tx and Rx intersect can be considered as a capacitive sensing node, touching The controller 120 outputs driving signals to the P driving channels, and the driving signals are returned to the touch controller 120 by the Q sensing channels after passing through the touch sensor 110, and the signal values of the respective capacitive sensing nodes are obtained after processing. Taking the signal value when no touch is used as a reference, the signal value of the capacitive sensing node at the current touch is subtracted from the reference, and the change value of the signal amount outputted on each capacitor node can be obtained. It should be understood that the change value of the signal quantity outputted on each capacitor node is the change value obtained by subtracting the current signal quantity from the original signal quantity, and may also be referred to as a difference value or a signal change amount. The original semaphore can be the original semaphore as a reference, which can be updated as the baseline is updated.

It should be noted that the plurality of driving channels shown in FIG. 1 are distributed in a vertical intersecting manner with the plurality of sensing channels, but this is merely an exemplary illustration, and the driving channels are distributed in the same plane (for example, as plane #1). The sensing channels are distributed in another plane (for example, referred to as plane #2), and the two planes (ie, plane #1 and plane #2) are stacked one on top of the other. Wherein, the two planes are stacked on top of each other such that the driving channels can be distributed perpendicular to the sensing channels, and a mutual capacitance exists at the intersection of each of the driving channels and the sensing channels. It should be understood that the distribution of the driving channel and the sensing channel in a mutually perpendicular manner is only one possible implementation for touch detection, and should not be construed as limiting the present application as long as each driving channel exists between each driving channel and each sensing channel. An intersection point capable of generating mutual capacitance, and the intersection of the plurality of driving channels and the plurality of sensing channels can be evenly distributed under the entire touch screen, and should fall within the protection scope of the present application. In the embodiment of the present application, for convenience of description, the intersection of the driving channel and the sensing channel may be referred to as a capacitive sensing node, which is also referred to as a capacitive node or an inductive node.

When the ground of the finger and the electrical ground GND of the touch screen 100 is poor, that is, in a floating state, there may be a deviation between the signal value output by the capacitive sensing node and the actual value. It should be understood that the poor grounding here may also be referred to as ungrounded, ungrounded, not well grounded, improperly grounded, isolated, floating, etc., all indicating a poor grounding condition.

A schematic diagram of generating a negative difference when the grounding is poor as shown in FIG. 2, when the finger 1 touches the capacitive sensing node A, since the finger 1 and the touch screen 100 are poorly grounded, the signal that should be electrically shunted is not shunted. The amount of signal output on the capacitive sensing node A changes only slightly. Similarly, for the finger 2, when it touches the capacitive sensing node B, the amount of signal outputted on the capacitive sensing node B changes only slightly. Therefore, the signal received by the sensing channel cannot accurately reflect the real touch situation.

In particular, when the finger 1 and the finger 2 simultaneously touch the capacitive sensing node A and the capacitive sensing node B, if the driving channel Tx1 of the finger 1 outputs a driving signal, the finger 1 touches the capacitive sensing node A. A part of the signal outputted by the capacitive sensing node A is returned to the touch screen 100 through the finger B, so that the capacitive sensing node B touched by the finger B also outputs a signal value. Similarly, if the driving channel Tx3 of the finger 2 outputs a driving signal, when the finger 2 touches the capacitive sensing node B, a part of the signal outputted from the capacitive sensing node B is returned to the touch screen 100 through the finger A, so that the capacitive sensing node A touched by the finger A also The signal value will be output. Moreover, a similar signal value is generated on the capacitive sensing node C and the capacitive sensing node D of the capacitive sensing node A and the capacitive sensing node B, but in fact, there is no touch on the capacitive sensing node C and the capacitive sensing node D. The capacitive sensing node C and the capacitive sensing node D are referred to as negative difference points. This phenomenon is called a negative difference effect or a negative pixel effect.

When the grounding is good, the distribution of the signal variation of the capacitive sensing node caused by the finger touch is as shown in FIG. 3(a), and the signal variation of the surrounding capacitive sensing node is smaller than the signal variation of the intermediate capacitive sensing node. However, when the grounding is poor, due to the negative pixel effect described above, the distribution of the signal variation of the capacitive sensing node caused by a single finger touch may be as shown in FIG. 3(b), and the signal variation of the intermediate capacitive sensing node is less than The amount of signal change around the capacitive sensing node. As such, the touch controller 120 may recognize the touch of the finger (which may be referred to as a single touch or a single-finger touch) as a touch of multiple fingers (which may be referred to as a multi-touch or multi-finger touch). For example, when curve a in FIG. 4 shows that the grounding is good, the distribution of the signal change amount of the capacitive sensing node in the touch area under the single-finger touch forms a peak in the middle of the curve; in FIG. 4, the curve b is the ground fault. The distribution of the signal change amount of the capacitive sensing node in the touch area under the single-finger touch, it can be seen that a trough is formed in the middle of the curve, and according to the distribution of the signal change amount at this time, it is easy to single-finger touch It is recognized as a multi-finger touch because it is similar to the distribution of the signal change amount of the capacitive sensing node when the multi-finger touch is shown in FIG. 3(c).

Therefore, the embodiment of the present application proposes to recognize a single-finger touch and a multi-finger touch based on the distribution rule of the signal variation amount of the capacitive sensing node on the touch area, and can accurately distinguish the single-finger touch and the multi-finger touch when the grounding is poor.

FIG. 5 shows a schematic flowchart of a touch detection method 500 of an embodiment of the present application, which may be performed by, for example, the touch controller or other touch detection device shown in FIG. 1 , and may be applied to various touches. Electronic devices such as mobile terminals, computers, and the like. As shown in FIG. 5, the method 500 can include:

At 510, a touch area is determined based on a signal change amount of the plurality of capacitive sensing nodes.

Specifically, as described above with respect to FIG. 1, when there is a touch, capacitive sensing in the touched area The semaphore output of the node changes, and the touch controller can determine the touch area by detecting the change of the semaphore in real time, thereby generating a corresponding touch event. That is, the touch area is determined by the amount of signal change of the capacitive sensing node before and after the touch, or the touch point/touch area is determined by the amount of change of the signal output by the sensing node with respect to the reference when touched.

It should be understood that the touch area may also be referred to as a frame, and the process of determining the touch area is also the process of the picture frame.

Generally, in combination with the distribution of the capacitive sensing nodes in which the amount of change in the signal changes, the rectangular region surrounded by the leftmost, rightmost, uppermost, and lowermost capacitive sensing nodes whose signal variations are changed is considered to be a touch region. a box. The capacitive sensing node that causes the change of the signal of the capacitive sensing node to be changed may be referred to as the starting point, and when the signal variation of the capacitive sensing node exceeds a certain threshold, the signal variation of the capacitive sensing node is considered to have occurred. Change, the capacitance sensing node is the starting point, so as to eliminate noise interference.

For example, as shown in FIG. 6( a ), the touch area determined according to the signal variation amount of the capacitance sensing node is the touch area A, the touch area A is a rectangular area, and the touch area A is a single-finger touch.

For another example, as shown in FIG. 6(b), the touch area determined according to the amount of signal change of the capacitance sensing node is the touch area B and the touch area C, and the touch area B and the touch area C are both rectangular areas.

For another example, as shown in FIG. 6(c), the touch area determined according to the amount of signal change of the capacitance sensing node is the touch area D and the touch area E, and the touch area D and the touch area E are both rectangular areas.

When there is only one touch area, such as the touch area A shown in FIG. 6(a), it is determined that the touch area A is a one-finger touch. When there are a plurality of touch regions such as the touch region B and the touch region C shown in FIG. 6(b), or the touch region D and the touch region E shown in FIG. 6(c), for example, it may be a multi-finger touch or It is a single finger touch. As described above, when the grounding is poor, the distribution law of the signal variation of the capacitive sensing node when the single-finger touch is similar to the distribution of the signal variation of the capacitive sensing node when the multi-finger touch is used, the single-finger touch is likely to be recognized as Multi-finger touch. Therefore, it is required to specifically determine whether the plurality of touch regions are formed by a single-finger touch or a multi-finger touch according to a distribution rule of a signal variation amount of the capacitive sensing nodes of the plurality of touch regions.

It should be understood that, in the embodiment of the present application, the multiple touch regions are caused by a single finger or an object such as a capacitive pen/active pen, and may also be referred to as a single point. Touching; the plurality of touch regions being a multi-finger touch means that a plurality of fingers or a plurality of objects respectively act on the plurality of touch regions, and may also be referred to as multi-touch.

In step 520, when there are multiple touch regions, determining whether the plurality of touch regions are single-finger touch or multi-finger according to the distribution rule of the signal change amount of the capacitive sensing nodes of the plurality of touch regions touch.

Specifically, if there are multiple touch regions, the touch controller may determine whether the plurality of touch regions are single-finger touches (caused) or according to a distribution rule of signal change amounts of the capacitive sensing nodes of the plurality of touch regions. Refers to the touch (caused). Although the distribution law of the signal variation of the capacitive sensing node is similar to the signal variation of the capacitive sensing node when the multi-finger touch is used, the distribution of the signal variation of the capacitive sensing node when the single-finger touch and the multi-finger touch are used There are also differences in the laws, each with its own characteristics. For example, although there are two touch regions in FIG. 6(b) and FIG. 6(c), the distribution and size of the capacitance change amount of the capacitive sensing nodes in the two touch regions of FIG. 6(b) are the same as FIG. 6 ( c) There are significant differences in the distribution and size of the capacitance change of the capacitive sensing nodes in the two touch regions. By analyzing these differences, it is possible to accurately recognize whether the plurality of touch regions are single-finger touch or multi-finger touch.

In this way, in the embodiment of the present application, the single-finger touch and the multi-finger touch are recognized by the distribution rule of the signal variation amount of the capacitive sensing node on the touch area, and the single-finger touch and the multi-finger touch can be accurately distinguished when the grounding is poor.

Optionally, in step 520, when there are multiple touch regions, determining whether the plurality of touch regions are single-finger touch or multi-finger touch according to a distribution rule of a signal change amount of the capacitive sensing nodes of the plurality of touch regions. The method includes: when there are multiple touch regions, and in the plurality of touch regions, a center distance between each touch region and at least one of the other touch regions is less than a fourth threshold, according to the plurality of touch regions The distribution law of the signal variation of the capacitance sensing node determines whether the plurality of touch regions are single-finger touch or multi-finger touch.

In other words, among the plurality of touch regions identified, the center distance between each touch region and at least one of the other touch regions is less than a fourth threshold. Because if there is a touch area that is far away from other touch areas, the touch area is more likely to be formed by different finger touches with other touch areas. Only in the multiple touch areas that are closer to each other, the necessity of judging single touch and multi-touch is more necessary. Therefore, using the method of the embodiment of the present application to perform touch detection on a plurality of touch regions whose center distance is less than the fourth threshold can significantly improve the efficiency of touch detection. For example, if the two touch regions in FIG. 6(b) or FIG. 6(c) are not very close as shown but are far away, then the two touch regions can be determined to be different finger touches. produced.

Optionally, step 520 may further include step 521 and step 522.

In step 521, determining a capacitance near an edge of the target area composed of the plurality of touch regions Whether the sensing node satisfies the target distribution law.

In step 522, if the capacitive sensing node near the edge of the target area satisfies the target distribution rule, it is determined that the plurality of touch areas are multi-finger touches.

That is, when there are a plurality of touch regions, it is determined whether the capacitance sensing node near the edge of the target region composed of the plurality of touch regions satisfies the target distribution rule. The target distribution rule may be, for example, a distribution law of a capacitive sensing node near the edge of the entire touch area when the multi-finger touch is normally performed. If the target distribution rule is satisfied, the plurality of touch regions are multi-finger touches; if the target distribution rule is not satisfied, the plurality of touch regions may be considered to be split by a single-finger touch.

Further, if the capacitive sensing node near the edge of the target area does not satisfy the target distribution rule, although it is likely to be a single touch at this time, in order to more accurately determine whether the multiple touch areas are single touches, The plurality of touch regions may be further determined to be a single-finger touch according to a numerical characteristic of a signal variation amount of the capacitance sensing node of the touch region when the single finger is touched.

Optionally, after step 521, the method may further include step 523.

In step 523, if the capacitive sensing node near the edge of the target area does not satisfy the target distribution rule, further determining whether the plurality of touch areas are single-finger touches according to the signal change amount of the capacitive sensing node near the center of the target area Multi-finger touch.

Specifically, when there are multiple touch regions, it is first determined whether the capacitive sensing node near the edge of the target region composed of the plurality of touch regions satisfies the target distribution rule. The target distribution rule may be, for example, a distribution law of a capacitive sensing node near the edge of the entire touch area when the multi-finger touch is normally performed. If the capacitive sensing node near the edge of the target area satisfies the target distribution rule, the multiple touch regions are multi-finger touches, that is, step 522 is performed; if the capacitive sensing node near the edge of the target region does not satisfy the target distribution rule, Then, it is further determined whether the plurality of touch regions are single-finger touches according to the signal change amount of the capacitive sensing node near the center of the target region, that is, step 523 is performed.

Optionally, the target distribution rule is: in the target area, a column in which the first edge node in the ith row capacitance sensing node is located, and a column in which the first edge node in the i+1 row capacitance sensing node is located The distance between the column is greater than the first threshold, and the distance between the column of the second edge node of the i-th row of capacitive sensing nodes and the column of the second edge node of the (i+1)th row of capacitive sensing nodes The first threshold is greater than the first threshold, wherein the first edge node is a capacitive sensing node whose first signal change amount is greater than a second threshold, and the second edge node is greater than the first signal from the right end. The capacitance sensing node of the second threshold, the value of i is 1 to P, and P is the total number of rows of the capacitive sensing nodes in the target area.

It should be understood that the distance between the two columns may be equal to the difference between the number of columns of the two columns, for example, the distance between the third column and the first column is 3-1=2.

In this embodiment, if the column of the first edge node in the capacitive sensing node of the i-th row is greater than the first threshold between the column of the first edge node of the (i+1)th capacitive sensing node, and If the distance between the column of the second edge node in the capacitance sensing node of the i-th row and the column of the second edge node in the capacitive sensing node of the i+1th row is greater than the first threshold, determining that the column is greater than the first threshold The touch area is a multi-finger touch. If the distance between the column of the first edge node in the capacitive sensing node of the i-th row and the column of the first edge node in the capacitive sensing node of the (i+1)th row is less than or equal to the first threshold, and the ith Determining the plurality of columns in the row capacitance sensing node where the distance between the column of the second edge node and the column of the second edge node of the i+1th row capacitance sensing node is less than or equal to the first threshold The touch area is a single-finger touch.

Taking FIGS. 6(b) and 6(c) as an example, two touch regions are shown in both FIG. 6(b) and FIG. 6(c). It should be understood that the touch area formed by the touch may be more. Here, only the two touch areas in (b) and (c) of FIG. 6 are taken as an example for description.

First, FIG. 6(b) is explained, assuming that the second threshold is 1 unit, as shown in FIG. 6(b), the two touch regions, that is, the target region composed of the touch region B and the touch region C, The first edge node of the 1-line capacitive sensing node is located in the fourth column of the target area, the signal variation of the capacitive sensing node is 13; the first edge node of the second row capacitive sensing node is located in the third column (with the first The distance between the fourth column of the first edge node of the row is 1), the signal variation of the first edge node is 69; the first edge node of the third row of capacitive sensing nodes is located in the third column (with The distance between the third column where the first edge node of the two rows is located is 0), the signal variation of the first edge node is 62; the first edge node of the fourth row of capacitive sensing nodes is located in the second column (with The distance between the third column where the first edge node of the third row is located is 1), the signal variation of the first edge node is 56; the first edge node of the fifth row of capacitive sensing nodes is located in the first column ( The distance from the second column where the first edge node of the fourth row is located is 1), and the signal of the capacitance sensing node The amount of quantization is 42; the first edge node in the capacitive sensing node of the sixth row is located in the first column (the distance from the first column where the first edge node of the fifth row is located is 0), and the first edge node The amount of signal change is 58; the first edge node in the capacitive sensing node of the seventh row is located in the first column (the distance from the first column of the first edge node of the sixth row is 0), and the first edge node The amount of signal change is 14.

It can be seen that the distance between the columns of the first edge nodes of the adjacent two rows of capacitive sensing nodes is not greater than 1, that is, adjacent (the distance between the columns is 1) or the same (the distance between the columns is 0).

Still referring to FIG. 6(b), in the target area composed of the two touch regions B and C, the second edge node in the first row of capacitive sensing nodes is located in the fifth column of the target region, and the signal of the second edge node changes. The amount is 12; the second edge node in the second row of capacitive sensing nodes is located in the fifth column (the distance from the fifth column where the second edge node of the first row is located is 0), and the signal of the second edge node The amount of change is 22; the second edge node in the capacitive sensing node of the third row is located in the sixth column (the distance from the fifth column where the second edge node of the second row is located is 1), and the second edge node The signal change amount is 21; the second edge node in the capacitance sensing node of the fourth row is located in the sixth column (the distance from the sixth column where the second edge node of the third row is located is 0), and the second edge node The amount of signal change is 44; the second edge node in the capacitive sensing node of the fifth row is located in the fifth column (the distance from the sixth column where the second edge node of the fourth row is located is 1), the second edge The signal variation of the node is 71; the second edge node in the capacitive sensing node of the sixth row is located in the fourth column (with the fifth row) The distance between the 5th column where the edge node is located is 1), the signal variation of the second edge node is 48; the second edge node of the 7th row of capacitive sensing nodes is located in the third column (with the sixth row) The distance between the fourth column where the two edge nodes are located is 1), and the signal variation of the second edge node is 83.

It can be seen that the distance between the columns of the second edge nodes in the adjacent two rows of capacitive sensing nodes is also not greater than one.

Therefore, in FIG. 6(b), since the capacitance sensing node near the edge of the target area composed of the touch area B and the touch area C does not satisfy the target distribution rule, that is, the first of the i-th row capacitance sensing nodes is not satisfied. a distance between a column in which the edge node is located, a column in which the first edge node in the (i+1)th row of the capacitive sensing node is located is greater than a first threshold, and a column in which the second edge node in the capacitive sensing node of the i-th row is located, The distance from the column of the second edge node in the (i+1)th row of the capacitive sensing node is greater than the first threshold, so that 523 is required, that is, the numerical characteristic of the signal variation according to the capacitive sensing node near the center of the target region. Further determining whether the plurality of touch regions are single-finger touch or multi-finger touch.

Next, FIG. 6(c) is explained, and it is still assumed that the second threshold is 1 pitch. As shown in FIG. 6(c), the two touch regions are the target regions composed of the touch region D and the touch region E. The first edge node in the capacitive sensing node of the first row is located in the third column of the target region, the signal variation of the first edge node is 47; and the first edge node of the second row of capacitive sensing nodes is located in the third column ( The distance from the third column where the first edge node of the first row is located is 0), the first edge The signal variation of the node is 91; the first edge node in the capacitance sensing node of the third row is located in the third column (the distance from the third column where the first edge node of the second row is located is 0), the first The signal variation of the edge node is 87; the first edge node in the capacitance sensing node of the fourth row is located in the first column (the distance from the third column of the first edge node of the third row is 2), the first The signal variation of an edge node is 56; the first edge node of the capacitance sensing node of the fifth row is located in the first column (the distance from the first column where the first edge node of the fourth row is located is 0), The signal variation of the first edge node is 81; the first edge node of the capacitance sensing node of the sixth row is located in the first column (the distance from the first column where the first edge node of the fifth row is located is 0), The signal sensing node has a signal variation of 28.

It can be seen that the distance between the third column of the first edge node in the capacitance sensing node of the fourth row and the first column of the first edge node of the capacitance sensing node of the third row is 2, and the distance is greater than 1, the equivalent of a jump (columns are not adjacent or the same).

Similarly, the third column in the fourth row of capacitive sensing nodes is located in the third column, and the distance between the third column in the third row of capacitive sensing nodes is greater than one.

Therefore, in FIG. 6(c), since the capacitance sensing node near the edge of the target area composed of the touch areas D and E does not satisfy the target distribution rule, that is, it is not satisfied: the first edge in the ith line capacitance sensing node a distance between a column in which the node is located, a column in which the first edge node in the (i+1)th row of the capacitive sensing node is located is greater than a first threshold, and a column in which the second edge node in the capacitive sensing node of the i-th row is located, and The distance between the columns of the second edge node in the i+1 row capacitive sensing node is greater than the first threshold, so that 522 needs to be performed, that is, the multiple touch regions are determined to be multi-finger touches.

For single-finger and multi-finger touches, in general, the multi-finger touch will have a jump in the row or column of the capacitive sensing node with a semaphore change on the edge of the touch area, as shown in Figure 6(c). In the case of a single-finger touch, the starting point of the edge is relatively compact, and generally forms an approximately elliptical shape, such as the first edge node in each row of capacitive sensing nodes in 6(b) (signal variation is 13, respectively) 69, 62, 56, 42, 58, 14) and the second edge node (signal variations of 83, 48, 71, 44, 21, 22, 12, respectively) are connected to approximate an ellipse.

It should be understood that the plurality of touch regions may be determined to be a single-finger touch or a multi-finger touch by determining a position change curve of the first edge node and the second edge node in the plurality of rows of capacitive sensing nodes. The position change curve can be a curve in which the number of columns varies with the number of rows. Taking the distribution rule of the first edge node in the multi-line capacitive sensing node as an example, the first edge node of each row is a capacitive sensing node whose first signal change amount is greater than the second threshold value from the left end of the row. Increase in the number of accompanying lines If a significant jump occurs between the number of columns of the first edge node in the adjacent row, that is, the curve is abrupt, determining that the plurality of touch regions are multi-finger touch; if the first edge node in the adjacent row The change between the number of columns is gentle, there is no jump, and the curve exhibits a trend of increasing or decreasing recursively, and then the plurality of touch regions are determined to be single-finger touches.

It should also be understood that the target area composed of the plurality of touch areas is not necessarily a regular pattern, and the capacitance sensing nodes of the target area are not necessarily distributed according to the regularity of m rows×n columns. For example, a target area composed of touch areas B and C, and a target area composed of touch areas D and E are stepped irregular areas.

It should also be understood that the target distribution rule may also be: in the target area, the column of the first edge node in the ith row capacitance sensing node and the first edge node in the i+1 row capacitance sensing node are located. The distance between the columns is less than the first threshold, and the column of the second edge node in the capacitive sensing node of the i-th row is between the column of the second edge node of the capacitive sensing node of the i+1th row The distance is less than the first threshold. The first edge node is a capacitive sensing node whose first signal change amount is greater than a second threshold from the left end, and the second edge node is a capacitive sensing node whose first signal change amount is greater than the second threshold from the right end. At this time, if the first edge node and/or the second edge node of the multi-line capacitive sensing node of the target area does not satisfy the target distribution rule, it is determined that the plurality of touch areas are multi-finger touch; if the multi-line capacitive sensing node The first edge node and/or the second edge node satisfy the target distribution rule, and further determine whether the plurality of touch regions are single-finger touch or multi-finger touch according to a signal change amount of the capacitive sensing node near the center of the target region. .

It should also be understood that all of the above descriptions are performed by performing a row scan to determine the capacitance sensing node of each row to determine whether the edge capacitance sensing node satisfies the target distribution rule. However, in the embodiment of the present application, the capacitance sensing node of each column may be sequentially determined by column scanning to determine whether the edge capacitance sensing node satisfies the target distribution rule. At this time, the target distribution rule may be, for example, a row in which the first edge node in the k-th column capacitive sensing node is located in the target region, and a row in which the first edge node in the k+1th column capacitive sensing node is located. The distance between the lines is greater than the first threshold, and the distance between the row of the second edge node in the k-th column capacitive sensing node and the row of the second edge node in the k+1 column capacitive sensing node is greater than The first threshold, where k is a value from 1 to Q, the total number of columns of capacitive sensing nodes in the Q target region. The first edge node is a capacitive sensing node whose first signal change amount is greater than a second threshold from bottom to top. The second edge node is a capacitive sensing node whose first signal change amount is greater than a second threshold from top to bottom. At this time, if the first edge node and/or the second edge of the multi-column capacitive sensing node of the target area If the node satisfies the target distribution rule, the multiple touch regions are determined to be multi-finger touch; otherwise, according to the signal change amount of the capacitive sensing node near the center of the target region, whether the plurality of touch regions are single-finger or multi-finger touch is further determined. .

Optionally, in the embodiment of the present application, the number of edge sensing nodes that meet or fail to meet the target distribution rule may also be defined. For example, in the capacitive sensing node near the edge of the target area, if the number of edge nodes satisfying the target distribution rule exceeds a preset value, determining that the multiple touch areas are multi-finger touches; or, the target distribution is not satisfied If the number of regular edge nodes exceeds another preset value, it is further determined whether the plurality of touch regions are single-finger touch or multi-finger touch according to a signal change amount of the capacitive sensing node near the center of the target region.

In step 523, the present application provides two ways for determining whether the plurality of touch regions are single-finger or multi-finger based on the amount of signal change of the capacitive sensing node near the center of the target region.

Mode 1

Optionally, determining whether the plurality of touch regions are single-finger touch or multi-finger touch according to a signal change amount of the capacitive sensing node near the center of the target region, including:

Determining M rows×N columns of capacitive sensing nodes near the center of the target area, M and N are preset positive integers; calculating an average value of signal changes of the M rows×N columns of capacitive sensing nodes, and the target area The average value of the signal change amount of the other capacitive sensing nodes except the M row × N columns of capacitive sensing nodes; if the average value of the signal variation of the M rows × N columns of capacitive sensing nodes is less than or equal to the other The average value of the signal variation of the capacitance sensing node determines that the plurality of touch regions are single-finger touches; if the average value of the signal variation of the M rows×N columns of capacitive sensing nodes is greater than the signals of the other capacitive sensing nodes The average of the amounts of change determines that the plurality of touch regions are multi-finger touches.

Mode 1 is to analyze whether the signal variation of the capacitive sensing node in the target area satisfies the feature of “middle small four-large”, that is, the signal variation of the central capacitive sensing node is smaller than the signal variation of the capacitive sensing node of the edge. . If there is a feature of “middle small and large”, the plurality of touch regions are considered to be single-finger touch; if there is no feature of “middle small and large”, the plurality of touch regions are considered to be multi-finger touch.

Optionally, the center position of the M rows×N columns of capacitive sensing nodes near the center of the target area is a center position of the smallest rectangular area covering the target area.

M and N are preset, for example, M=2, N=2, indicating that 2 will be near the center of the target area. × 2 capacitive sensing nodes are considered to be capacitive sensing nodes near the center of the target area.

The sum of the signal variations of the M rows×N columns of capacitive sensing nodes is averaged to obtain an average value S1, and the average of the signal variations of the capacitive sensing nodes located around the M rows×N columns of capacitive sensing nodes in the target region is averaged. The value S2 is compared. If S1 ≤ S2, it is determined that the plurality of touch regions are single-finger touches; and if S1 > S2, the plurality of touch regions are determined to be multi-finger touches.

Mode 2

Optionally, determining whether the plurality of touch regions are single-finger touch or multi-finger touch according to a signal change amount of the capacitive sensing node near the center of the target region, including:

Determining M rows × N columns of capacitive sensing nodes near the center of the target area, M and N are preset positive integers; calculating the flatness of the capacitance change of the M rows × N columns of capacitive sensing nodes; if the flatness If the third threshold is less than or equal to the third threshold, it is determined that the plurality of touch regions are single-finger touches; if the flatness is greater than the third threshold, determining that the plurality of touch regions are multi-finger touches.

In the second mode, the signal change amount of the capacitive sensing node near the center of the target area is analyzed to determine whether the flatness of the signal change amount of the capacitive sensing node of the center satisfies the requirement. If the flatness is less than the third threshold, it is considered to be more The touch areas are single-finger touches, otherwise the multiple touch areas are considered to be multi-finger touches.

Where the flatness is equal to

Where K is the logarithm of the adjacent capacitive sensing nodes in the M rows×N columns of capacitive sensing nodes (ie, the M rows×N columns of capacitive sensing nodes include K pairs of adjacent nodes), and ΔC is adjacent two The difference between the signal variations of the capacitive sensing node, K is a positive integer, and j is a positive integer not greater than K.

It should be understood that, in the embodiment of the present application, when the amount of signal change of the capacitive sensing node near the edge of the target area does not satisfy the target distribution rule, the method may further determine the method by using at least one of mode 1 and mode 2. Whether the plurality of touch areas are single-finger touch or multi-finger touch.

In particular, when it is determined whether the plurality of touch regions are single-finger touches according to the manners 1 and 2, it is necessary to simultaneously satisfy S1≤S2 and

Less than the third threshold. This improves the accuracy of touch detection, thereby more accurately identifying single-finger and multi-finger touches.

Optionally, in step 520, if it is determined that the plurality of touch regions are single-finger touches, the method may further include: locking a minimum rectangular region including the plurality of touch regions to form a locking region; When the touch point is slid by the plurality of touch areas to other plurality of touch areas overlapping the lock area, it is determined that the other plurality of touch areas are single-finger touches.

It should be understood that the overlaps herein may be partial overlaps or all overlaps.

Specifically, when it is determined that the plurality of touch regions are single-finger touches, the smallest rectangular region including the plurality of touch regions (or the target regions) is locked, and the locked regions are locked regions. The lock area can be considered as a rectangular frame composed of the left boundary, the right boundary, the upper boundary, and the lower boundary of the plurality of touch regions. For example, as shown in FIG. 7, the locking area L can be formed after the two touch areas formed by the single finger touch are locked. The data processing after each frame sampling will be judged based on the stored locking area L. If the other touch areas found in the next frame intersect with the locking area L, at least partially overlap, the other touch is considered. The area is a single-finger touch and the locked area L is updated to the smallest rectangular area including the other touch areas. It can be understood that the boundary of the locking area L can be updated in real time, which moves following the movement of the finger, which is equivalent to the finger can drag the locking area to move on the touch screen and the locking area can be updated in real time during the movement.

Optionally, the method further includes: if the plurality of touch regions are determined to be a single-finger touch, reporting the location of the locked region L; and if the plurality of touch regions is determined to be a multi-finger touch, reporting the plurality of touch regions s position.

FIG. 8 shows a schematic flow chart of a touch detection method 800 of another embodiment of the present application, which may be performed by, for example, the touch controller or other touch detection device shown in FIG. 1 and may be applied to various Touch electronic devices such as mobile terminals, computers, and the like. As shown in FIG. 8, the method 800 can include:

In step 810, the touch area is determined according to the amount of signal change of the plurality of capacitive sensing nodes.

In step 820, when there are a plurality of touch regions, it is determined whether the plurality of touch regions overlap with the lock regions.

The locked area is a minimum rectangular area including the touch area of the previous frame, and the touch area of the previous frame is a single-finger touch.

In step 830, if the plurality of touch regions overlap with the lock region, it is determined that the plurality of touch regions are single-finger touches.

Therefore, in this embodiment, it is determined whether the plurality of touch regions of the current frame are single-finger touches based on the touch detection result of the previous frame, which greatly improves the efficiency of the touch detection.

FIG. 9 is a schematic flowchart of a touch detection method according to an embodiment of the present application. Referring to FIG. 9 , a process of determining whether the multiple touch regions are single-finger or multi-finger touch according to mode 1 and mode 2 is briefly described below. As shown in FIG. 9, the method includes:

Step 901: Determine a touch area according to a signal change amount of the plurality of capacitive sensing nodes of the touch screen. area.

Wherein, when there is only one touch area, it is determined as a single-finger touch; when there are multiple touch areas, step 902 is performed.

Step 902: Determine whether a capacitance sensing node near an edge of the target area composed of the plurality of touch regions satisfies a target distribution rule.

If the capacitive sensing node near the edge of the target area satisfies the target distribution rule, step 903 is performed; if the target distribution rule is not met, step 904 is performed. The distribution law of the target is the distribution law of the edge capacitance sensing node in the case of multi-finger touch under normal conditions.

Step 903: Determine that the plurality of touch regions are multi-finger touches.

Step 904: Calculate an average value S1 of signal changes of M rows×N columns of capacitive sensing nodes near the center of the target area, and an average value S2 of signal changes of other surrounding capacitive sensing nodes.

Wherein, if S1>S2, step 905 is performed; if S1≤S2, step 906 is performed;

Step 905: Determine that the plurality of touch regions are multi-finger touches.

Step 906: Calculate the flatness of the signal change amount of the capacitance sensing node of the target region of the M rows×N columns

Among them, if

If it is greater than the third threshold, step 907 is performed; if the flatness is less than or equal to the third threshold, step 908 is performed.

Step 907: Determine that the plurality of touch regions are multi-finger touches.

Step 908: Determine that the plurality of touch regions are single-finger touches.

Step 909: Lock a minimum rectangular area including the plurality of touch areas to form a locking area.

Step 910: Update or release the locked area.

Wherein, when the touched point is slid from the target area to the other plurality of touch areas, it is determined whether the other plurality of touch areas overlap with the locked area. If the other plurality of touch regions overlap with the lock region, determining that the other plurality of touch regions are single-finger touches, and updating the lock region to a minimum rectangular region including the other plurality of touch regions, otherwise releasing the Lock the area.

It should be understood that, in the various embodiments of the present application, the size of the sequence numbers of the foregoing processes does not mean the order of execution sequence, and the order of execution of each process should be determined by its function and internal logic, and should not be applied to the embodiment of the present application. The implementation process constitutes any limitation.

The touch detection method of the embodiment of the present application is described in detail above, and the touch detection apparatus of the embodiment of the present application will be described below.

It should be understood that the apparatus in the embodiments of the present application may perform the method in the embodiments of the present application, and have the function of performing the corresponding method.

FIG. 10 shows a schematic block diagram of a touch detection device 1000 of an embodiment of the present application. The device 1000 can be, for example, the touch controller 120 shown in FIG. As shown in FIG. 10, the apparatus 1000 can include a processing module 1010. The processing module 1010 is configured to:

Determining a touch area according to a signal change amount of the plurality of capacitive sensing nodes;

When there are a plurality of touch regions, determining whether the plurality of touch regions are single-finger touch or multi-finger touch according to a distribution rule of a signal change amount of the capacitive sensing nodes of the plurality of touch regions.

In this way, the single-finger touch and the multi-finger touch are recognized by the distribution rule of the signal variation amount of the capacitive sensing node on the touch area, and the single-finger touch and the multi-finger touch can be accurately distinguished even when the grounding is poor.

Optionally, the processing module 1010 is specifically configured to: determine whether a capacitive sensing node near an edge of the target area formed by the multiple touch areas meets a target distribution rule; if a capacitive sensing node near an edge of the target area satisfies Determining the target distribution rule determines that the plurality of touch regions are multi-finger touches.

Optionally, the processing module 1010 is further configured to: if the capacitive sensing node near the edge of the target area does not satisfy the target distribution rule, further according to a signal change amount of the capacitive sensing node near the center of the target area, further It is determined whether the plurality of touch regions are single-finger touch or multi-finger touch.

Optionally, the target distribution rule is: in the target area, a column of the first edge node of the i-th row of capacitance sensing nodes, and a first edge node of the (i+1)th row of capacitive sensing nodes The distance between the columns is greater than the first threshold, and the column of the second edge node of the i-th row of capacitive sensing nodes and the column of the second edge node of the (i+1)th row of capacitive sensing nodes The distance between the first edge node is greater than the first threshold, wherein the first edge node is a capacitive sensing node whose first signal change amount is greater than a second threshold from the left end, and the second edge node is the first signal from the right end The capacitance sensing node whose variation is larger than the second threshold, the value of i is 1 to P, and P is the total number of rows of the capacitive sensing nodes in the target area.

Optionally, the processing module 1010 is specifically configured to: determine M rows×N columns of capacitive sensing nodes near the center of the target area, where M and N are preset positive integers; calculate the M rows×N columns An average of signal variations of the capacitive sensing node, and the target region except the M The average value of the signal variation of the other capacitive sensing nodes outside the row x N columns of capacitive sensing nodes; if the average value of the signal variations of the M rows x N columns of capacitive sensing nodes is smaller than the other capacitive sensing nodes The average value of the signal change amount is determined to be a single-finger touch; if the average value of the signal change amount of the M rows×N columns of capacitive sensing nodes is greater than or equal to that of the other capacitive sensing nodes The average of the amount of signal change determines that the plurality of touch regions are multi-finger touches.

Optionally, the processing module 1010 is specifically configured to: determine M rows×N columns of capacitive sensing nodes near the center of the target area, where M and N are preset positive integers; calculate the M rows×N columns The flatness of the capacitance change of the capacitive sensing node, the flatness is equal to

Where K is the logarithm of the adjacent capacitive sensing nodes of the M rows×N columns of capacitive sensing nodes, and ΔC is the difference of the signal variations of the adjacent two capacitive sensing nodes, K is a positive integer, j is not a positive integer greater than K; if the flatness is less than or equal to a third threshold, determining that the plurality of touch regions are single-finger touches; and if the flatness is greater than a third threshold, determining that the plurality of touch regions are Multi-finger touch.

Optionally, the processing module 1010 is specifically configured to: when there are multiple touch regions, and a center distance between each of the plurality of touch regions and at least one of the other touch regions is less than When the fourth threshold is used, it is determined whether the plurality of touch regions are single-finger touch or multi-finger touch according to a distribution rule of a signal change amount of the capacitive sensing nodes of the plurality of touch regions.

Optionally, the processing module 1010 is further configured to: when determining that the plurality of touch regions are single-finger touch points, lock a minimum rectangular region including the plurality of touch regions to form a locking region; When the touched point is slid by the plurality of touch regions to other plurality of touch regions overlapping the locked region, the other plurality of touch regions are determined to be single-finger touches.

Optionally, the processing module 1010 is further configured to: if the multiple touch regions are determined to be a single-finger touch, report the location of the locked area; if the multiple touch regions are determined to be multi-finger touch, report the report The respective locations of the plurality of touch regions.

FIG. 11 is a schematic block diagram of a touch detection device 1100 in accordance with an embodiment of the present application. The device 1100 can be, for example, the touch controller 120 shown in FIG. As shown in FIG. 11, the touch detection device 1100 includes a processing module 1110. The processing module 1110 is configured to:

Determining a touch area according to a signal change amount of the plurality of capacitive sensing nodes;

Determining whether the plurality of touch regions overlap with the lock region when there are a plurality of touch regions, wherein the lock region is a minimum rectangular region including a touch region of a previous frame, and the touch of the previous frame The area is a single-finger touch.

If the plurality of touch regions overlap with the target region, determining that the plurality of touch regions are single-finger touches.

Therefore, in this embodiment, it is determined whether the plurality of touch regions of the current frame are single-finger touches based on the touch detection result of the previous frame, which greatly improves the efficiency of the touch detection.

FIG. 12 shows a schematic block diagram of a touch detection device 1200 of another embodiment of the present application. The device 1200 can be, for example, the touch controller 120 shown in FIG. As shown in FIG. 12, the apparatus 1200 includes a processor 1210 and a memory 1220. The memory 1220 is configured to store instructions, and the processor 1210 is configured to execute the instructions stored by the memory 1220, and the execution of the instructions causes the processor 1210 to perform the following operations:

Determining a touch area according to a signal change amount of the plurality of capacitive sensing nodes;

When there are a plurality of touch regions, determining whether the plurality of touch regions are single-finger touch or multi-finger touch according to a distribution rule of a signal change amount of the capacitive sensing nodes of the plurality of touch regions.

In this way, the single-finger touch and the multi-finger touch are recognized by the distribution rule of the signal variation amount of the capacitive sensing node on the touch area, and the single-finger touch and the multi-finger touch can be accurately distinguished even when the grounding is poor.

Optionally, the processor 1210 is specifically configured to: determine whether a capacitive sensing node near an edge of the target area formed by the multiple touch areas meets a target distribution rule; if a capacitive sensing node near an edge of the target area satisfies Determining the target distribution rule determines that the plurality of touch regions are multi-finger touches.

Optionally, the processor 1210 is further configured to: if the capacitive sensing node near the edge of the target area does not satisfy the target distribution rule, further according to a signal change amount of the capacitive sensing node near the center of the target area, further It is determined whether the plurality of touch regions are single-finger touch or multi-finger touch.

Optionally, the target distribution rule is: in the target area, a column of the first edge node of the i-th row of capacitance sensing nodes, and a first edge node of the (i+1)th row of capacitive sensing nodes The distance between the columns is greater than the first threshold, and the column of the second edge node of the i-th row of capacitive sensing nodes and the column of the second edge node of the (i+1)th row of capacitive sensing nodes The distance between the first edge node is greater than the first threshold, wherein the first edge node is a capacitive sensing node whose first signal change amount is greater than a second threshold from the left end, and the second edge node is the first signal from the right end The capacitance sensing node whose variation is larger than the second threshold, the value of i is 1 to P, and P is the total number of rows of the capacitive sensing nodes in the target area.

Optionally, the processor 1210 is specifically configured to: determine an M that is near a center of the target area. Row × N columns of capacitive sensing nodes, M and N are preset positive integers; calculating an average value of signal variations of the M rows × N columns of capacitive sensing nodes, and dividing the M rows in the target region ×N is an average value of signal variations of other capacitive sensing nodes outside the capacitive sensing node; if the average value of the signal variations of the M rows×N columns of capacitive sensing nodes is smaller than the signals of the other capacitive sensing nodes The average value of the change amount is determined to be a single-finger touch; if the average value of the signal change amount of the M rows×N columns of capacitive sensing nodes is greater than or equal to the signal of the other capacitive sensing node The average of the amounts of change determines that the plurality of touch regions are multi-finger touches.

Optionally, the processor 1210 is specifically configured to: determine M rows×N columns of capacitive sensing nodes near the center of the target area, where M and N are preset positive integers; calculate the M rows×N columns The flatness of the capacitance change of the capacitive sensing node, the flatness is equal to

Where K is the logarithm of the adjacent capacitive sensing nodes of the M rows×N columns of capacitive sensing nodes, and ΔC is the difference of the signal variations of the adjacent two capacitive sensing nodes, K is a positive integer, j is not a positive integer greater than K; if the flatness is less than or equal to a third threshold, determining that the plurality of touch regions are single-finger touches; and if the flatness is greater than a third threshold, determining that the plurality of touch regions are Multi-finger touch.

Optionally, the processor 1210 is specifically configured to: when there are multiple touch regions, and a central distance between each of the plurality of touch regions and at least one of the other touch regions is less than When the fourth threshold is used, it is determined whether the plurality of touch regions are single-finger touch or multi-finger touch according to a distribution rule of a signal change amount of the capacitive sensing nodes of the plurality of touch regions.

Optionally, the processor 1210 is further configured to: when determining that the plurality of touch regions are single-finger touch points, lock a minimum rectangular region including the plurality of touch regions to form a locking region; When the touched point is slid by the plurality of touch regions to other plurality of touch regions overlapping the locked region, the other plurality of touch regions are determined to be single-finger touches.

Optionally, the processor 1210 is further configured to: if the multiple touch regions are determined to be a single-finger touch, report the location of the locked area; if the multiple touch regions are determined to be multi-finger touch, report the multiple The respective locations of the plurality of touch regions.

The touch detection device 1200 according to the embodiment of the present application may correspond to the device for performing the method 500 in the method 500, and the touch detection device 1000 according to the embodiment of the present application, and each unit or module in the touch detection device 1000 respectively The operations or processes performed by the apparatus in the above method 500 are performed. Here, in order to avoid redundancy, detailed description thereof will be omitted.

FIG. 13 shows a schematic block diagram of a touch detection device 1300 of another embodiment of the present application. As shown in FIG. 13, the apparatus 1300 includes a processor 1310 and a memory 1320. The memory 1320 is configured to store an instruction, and the processor 1310 is configured to execute an instruction stored by the memory 1320, and the execution of the instruction causes the processor 1310 to perform the following operations:

Determining a touch area according to a signal change amount of the plurality of capacitive sensing nodes;

Determining whether the plurality of touch regions overlap with the lock region when there are a plurality of touch regions, wherein the lock region is a minimum rectangular region including a touch region of a previous frame, and the touch of the previous frame The area is a single-finger touch.

If the plurality of touch regions overlap with the target region, determining that the plurality of touch regions are single-finger touches.

Therefore, determining whether the plurality of touch regions of the current frame are single-finger touch based on the touch detection result of the previous frame greatly improves the efficiency of the touch detection.

It should be understood that, in this embodiment of the present application, the processor may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSPs), and application specific integrated circuits (ASICs). , off-the-shelf programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general purpose processor may be a microprocessor or the processor or any conventional processor or the like.

The memory can include read only memory and random access memory and provides instructions and data to the processor. A portion of the memory may also include a non-volatile random access memory. For example, the memory can also store information of the device type.

In the implementation process, each step of the above method may be completed by an integrated logic circuit of hardware in a processor or an instruction in a form of software. The steps of the positioning method disclosed in the embodiments of the present application may be directly implemented by the hardware processor, or may be performed by a combination of hardware and software modules in the processor. The software module can be located in a conventional storage medium such as random access memory, flash memory, read only memory, programmable read only memory or electrically erasable programmable memory, registers, and the like. The storage medium is located in the memory, and the processor reads the information in the memory and combines the hardware to complete the steps of the above method. To avoid repetition, it will not be described in detail here.

FIG. 14 is a schematic structural diagram of a touch control chip according to an embodiment of the present application. The touch chip chip 1400 of FIG. 14 includes an input interface 1401, an output interface 1402, at least one processor 1403, and a memory 1404. The input interface 1401, the output interface 1402, the processor 1403, and the memory 1404 pass through an internal connection path. Connect to each other. The processor 1403 is configured to execute code in the memory 1404. The processor 1403 includes various forms capable of implementing signals and data. Circuits, modules, and chips that transfer, process, or output functions.

Alternatively, when the code is executed, the processor 1403 can implement the method 500 performed by the apparatus in the method embodiments. For the sake of brevity, it will not be repeated here.

Alternatively, when the code is executed, the processor 1403 can implement the method 700 performed by the apparatus in the method embodiment. For the sake of brevity, it will not be repeated here.

The embodiment of the present application further provides an electronic device, which may include a plurality of capacitive sensing nodes, and any one of the above-mentioned touch detection devices or touch control chips in the embodiments of the present application.

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 to implement the described functions for each particular application, but such implementation should not be considered to be beyond the scope of the present application.

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 may be Integrate 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 in an electrical, mechanical or other form.

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 application may be integrated into one detecting unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

This function is implemented as a software functional unit and sold or used as a standalone product It can be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application, 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.) to perform all or part of the steps of the methods described in various embodiments of the present application. 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, which can store program codes. .

The above is only a specific embodiment of the present application, but the scope of protection of the embodiments of the present application is not limited thereto, and any person skilled in the art can easily think of changes or replacements within the technical scope disclosed in the embodiments of the present application. , should be covered in the scope of protection of this application for personal gain. Therefore, the scope of protection of the embodiments of the present application should be determined by the scope of protection of the claims.

Claims (20)

1. A touch detection method, characterized in that the method comprises:

   Determining a touch area according to a signal change amount of the plurality of capacitive sensing nodes;

   When there are a plurality of touch regions, determining whether the plurality of touch regions are single-finger touch or multi-finger touch according to a distribution rule of a signal change amount of the capacitive sensing nodes of the plurality of touch regions.
2. The method according to claim 1, wherein the determining whether the plurality of touch regions are single-finger touch or multi-finger touch according to a distribution rule of a signal variation amount of the capacitive sensing nodes of the plurality of touch regions include:

   Determining whether a capacitive sensing node near an edge of the target area composed of the plurality of touch regions satisfies a target distribution rule;

   If the capacitive sensing node near the edge of the target area satisfies the target distribution rule, it is determined that the plurality of touch areas are multi-finger touches.
3. The method of claim 2, wherein the method further comprises:

   If the capacitive sensing node near the edge of the target area does not satisfy the target distribution rule, further determining whether the plurality of touch areas are single-finger touch or more according to a signal change amount of the capacitive sensing node near the center of the target area Refers to touch.
4. The method according to claim 2 or 3, wherein the target distribution rule is:

   In the target area, a distance between a column of the first edge node of the i-th row of capacitance sensing nodes and a column of the first edge node of the (i+1)th row of capacitive sensing nodes is greater than a first threshold, And the distance between the column of the second edge node of the ith row of the capacitive sensing node and the column of the second edge node of the i+1th row of capacitive sensing nodes is greater than the first threshold. The first edge node is a capacitive sensing node whose first signal change amount is greater than a second threshold from the left end, and the second edge node is a capacitive sensing of a first signal change amount from the right end that is greater than the second threshold value. The value of the node i is 1 to P, and P is the total number of rows of the capacitive sensing nodes in the target area.
5. The method according to claim 3 or 4, wherein the determining whether the plurality of touch regions are single-finger touch or multi-finger touch according to a signal change amount of the capacitive sensing node near the center of the target region include:

   Determining M rows×N columns of capacitive sensing nodes near the center of the target area, where M and N are preset positive integers;

   Calculating an average value of signal changes of the M rows×N columns of capacitive sensing nodes, and An average value of signal changes of other capacitive sensing nodes other than the M rows×N columns of capacitive sensing nodes in the target area;

   If the average value of the signal change amount of the M rows×N columns of capacitive sensing nodes is smaller than the average value of the signal change amounts of the other capacitive sensing nodes, determining that the plurality of touch regions are single-finger touches;

   If the average value of the signal change amounts of the M rows×N columns of capacitive sensing nodes is greater than or equal to the average value of the signal change amounts of the other capacitive sensing nodes, it is determined that the plurality of touch regions are multi-finger touches.
6. The method according to claim 3 or 4, wherein the determining whether the plurality of touch regions are single-finger touch or multi-finger touch according to a signal change amount of the capacitive sensing node near the center of the target region include:

   Determining M rows×N columns of capacitive sensing nodes near the center of the target area, where M and N are preset positive integers;

   Calculating a flatness of a capacitance change amount of the M rows×N columns of capacitive sensing nodes, the flatness being equal to

   

   Where K is the logarithm of the adjacent capacitive sensing nodes of the M rows×N columns of capacitive sensing nodes, and ΔC is the difference of the signal variations of the adjacent two capacitive sensing nodes, K is a positive integer, j is not a positive integer greater than K;

   If the flatness is less than or equal to the third threshold, determining that the plurality of touch regions are single-finger touches;

   If the flatness is greater than the third threshold, determining that the plurality of touch regions are multi-finger touches.
7. The method according to any one of claims 1 to 6, wherein when there are a plurality of touch regions, determining a distribution according to a distribution law of a signal sensing amount of the capacitive sensing nodes of the plurality of touch regions Whether the plurality of touch areas are single-finger touch or multi-finger touch includes:

   When there are a plurality of touch regions, and a center distance between each of the plurality of touch regions and at least one of the other touch regions is less than a fourth threshold, according to the plurality of touch regions The distribution law of the signal variation amount of the capacitance sensing node determines whether the plurality of touch regions are single-finger touch or multi-finger touch.
8. The method according to any one of claims 1 to 7, wherein after determining that the plurality of touch regions are single-finger touches, the method further comprises:

   Locking a minimum rectangular area including the plurality of touch areas to form a locking area;

   When the touched point is slid by the plurality of touch areas to the other plurality of touch areas overlapping the locked area, it is determined that the other plurality of touch areas are single-finger touches.
9. The method of claim 8 further comprising:

   If it is determined that the plurality of touch regions are single-finger touches, the location of the locked region is reported.

   If it is determined that the plurality of touch regions are multi-finger touches, the respective positions of the plurality of touch regions are reported.
10. A touch detection device, comprising:

    a processing module, configured to determine a touch area according to a signal variation of the plurality of capacitive sensing nodes;

    The processing module is further configured to determine, when a plurality of touch regions are present, whether the plurality of touch regions are single-finger touch or multi-finger touch according to a distribution rule of a signal change amount of the capacitive sensing nodes of the plurality of touch regions .
11. The touch detection device according to claim 10, wherein the processing module is specifically configured to:

    Determining whether a capacitive sensing node near an edge of the target area composed of the plurality of touch regions satisfies a target distribution rule;

    If the capacitive sensing node near the edge of the target area satisfies the target distribution rule, it is determined that the plurality of touch areas are multi-finger touches.
12. The touch detection device according to claim 11, wherein the processing module is further configured to:

    If the capacitive sensing node near the edge of the target area does not satisfy the target distribution rule, further determining whether the plurality of touch areas are single-finger touch or more according to a signal change amount of the capacitive sensing node near the center of the target area Refers to touch.
13. The touch detection device according to claim 11 or 12, wherein the target distribution rule is:

    In the target area, a distance between a column of the first edge node of the i-th row of capacitance sensing nodes and a column of the first edge node of the (i+1)th row of capacitive sensing nodes is greater than a first threshold, And the distance between the column of the second edge node of the ith row of the capacitive sensing node and the column of the second edge node of the i+1th row of capacitive sensing nodes is greater than the first threshold. The first edge node is a capacitive sensing node whose first signal change amount is greater than a second threshold from the left end, and the second edge node is a capacitive sensing of a first signal change amount from the right end that is greater than the second threshold value. The value of the node i is 1 to P, and P is the total number of rows of the capacitive sensing nodes in the target area.
14. The touch detection device according to claim 12 or 13, wherein the processing module is specifically configured to:

    Determining M rows×N columns of capacitive sensing nodes near the center of the target area, where M and N are preset positive integers;

    Calculating an average value of signal changes of the M rows×N columns of capacitive sensing nodes, and an average of signal variations of the capacitive sensing nodes except the M rows×N columns of capacitive sensing nodes in the target area value;

    If the average value of the signal change amount of the M rows×N columns of capacitive sensing nodes is smaller than the average value of the signal change amounts of the other capacitive sensing nodes, determining that the plurality of touch regions are single-finger touches;

    If the average value of the signal change amounts of the M rows×N columns of capacitive sensing nodes is greater than or equal to the average value of the signal change amounts of the other capacitive sensing nodes, it is determined that the plurality of touch regions are multi-finger touches.
15. The touch detection device according to claim 12 or 13, wherein the processing module is specifically configured to:

    Determining M rows×N columns of capacitive sensing nodes near the center of the target area, where M and N are preset positive integers;

    Calculating a flatness of a capacitance change amount of the M rows×N columns of capacitive sensing nodes, the flatness being equal to

    

    Where K is the logarithm of the adjacent capacitive sensing nodes of the M rows×N columns of capacitive sensing nodes, and ΔC is the difference of the signal variations of the adjacent two capacitive sensing nodes, K is a positive integer, j is not a positive integer greater than K;

    If the flatness is less than or equal to the third threshold, determining that the plurality of touch regions are single-finger touches;

    If the flatness is greater than the third threshold, determining that the plurality of touch regions are multi-finger touches.
16. The touch detection device according to any one of claims 10 to 15, wherein the processing unit is specifically configured to:

    When there are a plurality of touch regions, and a center distance between each of the plurality of touch regions and at least one of the other touch regions is less than a fourth threshold, according to the plurality of touch regions The distribution law of the signal variation amount of the capacitance sensing node determines whether the plurality of touch regions are single-finger touch or multi-finger touch.
17. The touch detecting device according to any one of claims 10 to 16, wherein The processing module is further configured to:

    When determining that the plurality of touch regions are single-finger touch points, locking a minimum rectangular region including the plurality of touch regions to form a locking region;

    When the touched point is slid by the plurality of touch areas to the other plurality of touch areas overlapping the locked area, it is determined that the other plurality of touch areas are single-finger touches.
18. The touch detection device according to claim 17, wherein the processing module is further configured to:

    If it is determined that the plurality of touch regions are single-finger touches, report the location of the locked area;

    If it is determined that the plurality of touch regions are multi-finger touches, the respective positions of the plurality of touch regions are reported.
19. A touch chip, comprising the touch detecting device according to any one of claims 10 to 18.
20. An electronic device, comprising: a plurality of capacitive sensing nodes, and the touch detecting device according to any one of claims 10 to 18 or the touch chip of claim 19.

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