Touch signal identification method and device, equipment and storage medium

Abstract

The embodiment of the invention discloses a touch signal identification method and device, equipment and a storage medium, and belongs to the technical field of touch. The method comprises the following steps: acquiring a node capacitance signal of a node capacitor in the capacitive touch screen; determining a candidate touch area corresponding to a maximum value signal in the node capacitance signals; based on the spatial domain characteristics of the candidate touch control areas, area screening is carried out on the candidate touch control areas to obtain a target touch control area, area screening is used for filtering water stain touch control areas, node capacitance signals in the water stain touch control areas are generated by water stains, and node capacitance signals in the target touch control area are generated by the water stains; the node capacitance signal in the target touch area is generated by a touch operation object; and determining the node capacitance signal in the target touch area as an effective touch signal. According to the scheme provided by the embodiment of the invention, the influence of ghost point signals generated by water stains on the screen on touch identification can be reduced, and the touch identification accuracy of the capacitive touch equipment in the water state is improved.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of touch technology, and in particular, to a method, device, equipment, and storage medium for identifying touch signals. Background Art

[0002] With the continuous development of software and hardware technologies, various touch technologies have emerged. Among them, a capacitive touch screen identifies and determines the touch position according to the value of the change in the coupling capacitance between the TX (Transmit) electrode and the RX (Receive) electrode.

[0003] Since a capacitive touch screen is sensitive to conductors, when a conductor other than a finger, such as water, comes into contact, the capacitive touch screen is likely to misjudge it as a finger, resulting in ghost points. Summary of the Invention

[0004] The embodiments of the present application provide a method, device, equipment, and storage medium for identifying touch signals. The technical solutions are as follows:

[0005] On the one hand, the embodiments of the present application provide a method for identifying touch signals, which is used for a capacitive touch device, and the method includes:

[0006] Obtain the node capacitance signal of the node capacitance in the capacitive touch screen;

[0007] Determine the candidate touch area corresponding to the maximum value signal in the node capacitance signal;

[0008] Based on the spatial domain characteristics of the candidate touch area, perform area screening on the candidate touch area to obtain the target touch area, where the area screening is used to filter the water trace touch area, the node capacitance signal in the water trace touch area is generated by water traces, and the node capacitance signal in the target touch area is generated by a touch operation object;

[0009] Determine the node capacitance signal in the target touch area as the valid touch signal.

[0010] On the other hand, the embodiments of the present application provide a touch signal identification device, and the device includes:

[0011] An acquisition module, configured to acquire the node capacitance signal of the node capacitance in the capacitive touch screen;

[0012] A processing module, configured to determine the candidate touch area corresponding to the maximum value signal in the node capacitance signal;

[0013] The processing module is configured to perform area screening on the candidate touch areas based on the spatial domain features of the candidate touch areas to obtain target touch areas, where the area screening is used to filter out water trace touch areas, the node capacitance signals within the water trace touch areas are generated by water traces, and the node capacitance signals within the target touch areas are generated by touch operation objects;

[0014] The processing module is configured to determine the node capacitance signals within the target touch areas as valid touch signals.

[0015] On the other hand, an embodiment of the present application provides a capacitive touch module, which includes a capacitive touch screen and a touch IC (Integrated Circuit). The touch IC is configured to implement the touch signal recognition method as described in the above aspect.

[0016] On the other hand, an embodiment of the present application provides a capacitive touch device, which is provided with the capacitive touch module as described in the above aspect.

[0017] On the other hand, an embodiment of the present application provides a computer-readable storage medium, which stores at least one program code. The at least one program code is used to be executed by a touch IC to implement the touch signal recognition method as described in the above aspect.

[0018] On the other hand, an embodiment of the present application provides a computer program product, which includes computer instructions. The computer instructions are stored in a computer-readable storage medium. The touch IC reads the computer instructions from the computer-readable storage medium, and the touch IC executes the computer instructions to implement the touch signal recognition method provided in the above aspect.

[0019] Since there are significant differences in the spatial domain features between the touch operation objects and the touch areas generated by water traces, in the embodiments of the present application, after searching for the maximum value signals in the node capacitance signals and determining the candidate touch areas corresponding to the maximum value signals, based on the spatial domain features of the candidate touch areas, the water trace touch areas generated by water traces are identified and filtered out to obtain the target touch areas generated by the touch operation objects. Furthermore, the node capacitance signals within the target touch areas are determined as valid touch signals, reducing the impact of ghost point signals generated by water traces on the screen on touch recognition and improving the touch recognition accuracy of capacitive touch devices in a wet state. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 Shows a flowchart of a touch signal recognition method provided by an exemplary embodiment of the present application;

[0021] Figure 2The flowchart of the touch signal recognition method provided by another exemplary embodiment of the present application is shown;

[0022] Figure 3 The flowchart of the touch signal recognition method provided by another exemplary embodiment of the present application is shown;

[0023] Figure 4 It is a schematic diagram showing the change process of the node capacitance signals before and after touching in an exemplary embodiment;

[0024] Figure 5 It is a schematic diagram showing the target touch area in an exemplary embodiment;

[0025] Figure 6 It is a schematic diagram showing the fusion process of the candidate touch areas in an exemplary embodiment;

[0026] Figure 7 It is a schematic diagram showing the determination of the target touch area based on the area coverage in an exemplary embodiment;

[0027] Figure 8 The flowchart of the shape feature matching process provided by an exemplary embodiment of the present application is shown;

[0028] Figure 9 It is a schematic diagram showing the determination of the target touch area based on the area shape in an exemplary embodiment;

[0029] Figure 10 The flowchart of the touch signal recognition method provided by another exemplary embodiment of the present application is shown;

[0030] Figure 11 It is a schematic diagram showing the determination of the target touch area based on the signal value features in an exemplary embodiment;

[0031] Figure 12 It is a schematic diagram showing the target area tracking process in an exemplary embodiment;

[0032] Figure 13 The structural block diagram of the touch signal recognition device provided by an exemplary embodiment of the present application is shown;

[0033] Figure 14 The structural schematic diagram of the capacitive touch module provided by an exemplary embodiment of the present application is shown;

[0034] Figure 15 The structural block diagram of the capacitive touch device provided by an exemplary embodiment of the present application is shown. Detailed implementation manners

[0035] To make the objectives, technical solutions, and advantages of this application more clear, the following will further describe the embodiments of this application in detail with reference to the accompanying drawings.

[0036] As used herein, "a plurality of" means two or more. "And / or" describes the association relationship of associated objects and indicates that three relationships may exist. For example, A and / or B may represent three situations: A exists alone, A and B exist simultaneously, and B exists alone. The character " / " generally represents an "or" relationship between the associated objects before and after.

[0037] The capacitive touch screen can identify and determine the touch position by detecting the change in the coupling capacitance, that is, the change in the coupling capacitance between the TX electrode and the RX electrode, so as to report the touch event. However, in addition to fingers, other conductors such as water will also absorb a small amount of current when contacting the capacitive touch screen, resulting in a change in the coupling capacitance, that is, ghost points are generated, affecting the accuracy of touch recognition.

[0038] In order to improve the touch recognition accuracy of capacitive touch devices in the water state, in the solution provided in the embodiments of this application, based on the characteristic that there are significant differences in the spatial domain features of the touch areas generated by fingers (i.e., the touch operation objects) and water traces, according to the spatial domain features of the identified candidate touch areas, the water trace touch areas generated by water traces are identified and filtered, thereby reducing the impact of the ghost point signals generated by water traces on the screen on touch recognition and improving the touch recognition accuracy of capacitive touch devices in the water state.

[0039] The solution provided in the embodiments of this application can be applied to electronic devices with capacitive touch screens, and the electronic devices can be smartphones, tablet computers, wearable devices, monitors, portable computers, game consoles, and so on. For the convenience of description, in the following embodiments, the method is described by taking its application to capacitive touch devices as an example.

[0040] Please refer to Figure 1 , which shows a flowchart of a touch signal recognition method provided by an exemplary embodiment of this application. The method may include the following steps:

[0041] Step 101, obtain the node capacitance signals of the node capacitances in the capacitive touch screen.

[0042] There is a node capacitance at each intersection of two sets of electrodes that intersect vertically on the capacitive touch screen, and the node capacitances at all intersections can form a node capacitance array. In this node capacitance array, the node capacitance signals of each node capacitance are all mutual capacitance signals, and the node capacitance signals are used to describe the capacitance size of the node capacitance.

[0043] In some embodiments, the capacitive touch screen scans the node capacitances at a certain touch sampling rate, such as 480 Hz. Each time the node capacitances are scanned, the node capacitance signals of each node capacitance on the capacitive touch screen are obtained.

[0044] Step 103: Determine a candidate touch area corresponding to the maximum value signal in the node capacitance signal.

[0045] In some embodiments, in a non-contact state, the node capacitance signals of each node capacitance in the capacitive touch screen are close to 0; when a touch operation object (such as a finger or a stylus) or a conductor such as a water trace contacts the capacitive touch screen, the node capacitance signal at the touch area will increase. Therefore, the capacitive touch device can determine a candidate touch area with contact by identifying the maximum value signal in the node capacitance signal. Among them, the candidate touch area may be the area where the touch operation object contacts the capacitive touch screen, or may be the water trace area on the capacitive touch screen.

[0046] In some embodiments, the maximum value signal is a local maximum value signal, that is, when the node capacitance signal is greater than the other node capacitance signals in the surrounding local area, the node capacitance signal is determined as the maximum value signal. The determination method of the maximum value signal will be described in detail in the following embodiments.

[0047] Step 105: Based on the spatial domain features of the candidate touch area, perform area screening on the candidate touch area to obtain a target touch area, where the area screening is used to filter the water trace touch area, the node capacitance signal in the water trace touch area is generated by the water trace, and the node capacitance signal in the target touch area is generated by the touch operation object.

[0048] It is found through experiments that there are significant differences in the spatial domain features between the touch area generated by the touch operation object and the touch area generated by the water trace. Therefore, the capacitive touch device can determine the water trace touch area generated by the water trace and the target touch area generated by the touch operation object in the candidate touch area according to the spatial domain features of the candidate touch area.

[0049] Among them, the spatial domain feature refers to the feature presented by the candidate touch area in space. In some embodiments, the spatial domain feature may include at least one of a feature related to the shape of the touch area and a feature related to the signal value of the node capacitance signal in the touch area.

[0050] In a possible implementation, a reference spatial domain feature is set in the capacitive touch device, and the reference spatial domain feature is based on the spatial domain features of a large number of touch areas generated by a touch operation object. Wherein, the touch operation object can be different touch operation objects, such as fingers of different users, or different fingers of the same user, or it can be the same touch operation object, such as the same finger of the same user, or a stylus of the same type. The embodiments of the present application do not limit this.

[0051] Optionally, the reference spatial domain feature can be fixedly set in the capacitive touch device, or can be updated according to the user's historical usage records. For example, according to the touch areas generated by the user actually using a finger for touch operation, the reference spatial domain feature is updated to improve the matching degree between the reference spatial domain feature and the current user.

[0052] Furthermore, for each candidate touch area, the capacitive touch device matches the spatial domain feature of the candidate touch area with the reference spatial domain feature. If they match, it is determined that the candidate touch area is the target touch area. If they do not match, it is determined that the candidate touch area is a water trace touch area and is filtered to avoid the ghost point signals in the water trace touch area causing interference to touch recognition.

[0053] Step 107, determining the node capacitance signal in the target touch area as a valid touch signal.

[0054] In some embodiments, for the determined target touch area, the capacitive touch device determines the node capacitance signal in this area as a valid touch signal, and further reports a touch event based on this valid touch signal.

[0055] In summary, since there are significant differences in the spatial domain features of the touch areas generated by the touch operation object and the water trace, in the embodiments of the present application, by searching for the maximum value signal in the node capacitance signal and determining the candidate touch area corresponding to the maximum value signal, based on the spatial domain feature of the candidate touch area, the water trace touch area generated by the water trace is identified and filtered to obtain the target touch area generated by the touch operation object. Furthermore, the node capacitance signal in the target touch area is determined as a valid touch signal, reducing the influence of the ghost point signals generated by the water trace on the screen on touch recognition and improving the touch recognition accuracy of the capacitive touch device in the water state.

[0056] In a possible implementation, the above process of region screening based on the spatial domain feature of the candidate touch area is only performed when there is water trace on the screen, and region screening will not be performed when there is no water trace on the screen.

[0057] In Figure 1 On the basis of Figure 2As shown, before step 105, there is also step 104, and step 105 can be replaced by step 1051.

[0058] Step 104: Based on the node capacitance signal and the node self-capacitance signal of each node capacitance, determine the current screen state. The current screen state includes a water state and a non-water state. The water state refers to the state entered when water traces are identified on the capacitive touch screen.

[0059] In some embodiments, the capacitive touch device divides the current screen state into a water state and a non-water state according to whether there are water traces on the capacitive touch screen. Among them, the water state refers to the state entered when water traces are identified on the touch screen, and the non-water state refers to the state entered when no water traces are identified on the touch screen.

[0060] Since when there are water traces on the capacitive touch screen, the mutual capacitance signal (i.e., the node capacitance signal) and the self-capacitance signal have inconsistent conclusions for judging whether there is a touch operation object on the capacitive touch screen. Therefore, in a possible implementation, when the capacitive touch device determines that there is a suspected touch point based on the mutual capacitance signal and determines that there is no suspected touch point based on the self-capacitance signal, it determines that the capacitive touch screen is in the water state; when it determines that there is no suspected touch point based on the mutual capacitance signal and determines that there is a suspected touch point based on the self-capacitance signal, it determines that the capacitive touch screen is in the water state; when it determines that there is a suspected touch point based on the mutual capacitance signal and determines that there is a suspected touch point based on the self-capacitance signal, it determines that the capacitive touch screen is in the non-water state; when it determines that there is no suspected touch point based on the mutual capacitance signal and determines that there is no suspected touch point based on the self-capacitance signal, it determines that the capacitive touch screen is in the non-water state.

[0061] Regarding the switching method of the screen state, in a possible implementation, when the capacitive touch device identifies water traces on the touch screen, it automatically enters the water state from the non-water state, and when it identifies that the water traces on the touch screen disappear, it automatically enters the non-water state from the water state.

[0062] It should be noted that the method for determining the current screen state is not limited to the method based on the node capacitance signal and the node self-capacitance signal of each node capacitance. The embodiments of the present application do not limit the method for determining the current screen state.

[0063] Step 1051: In the case where the current screen state is the water state, the capacitive touch device filters the candidate touch area based on the spatial domain characteristics of the candidate touch area to obtain the target touch area.

[0064] In this embodiment, by introducing water state detection and further performing water trace touch area detection and filtering when the detected current screen state is the water state, the waste of processing resources caused by performing water trace touch area detection in the non-water state is avoided.

[0065] Regarding the selection of spatial domain features, in a possible implementation, the spatial domain features include at least one of morphological features and signal value features.

[0066] Among them, the morphological feature is a feature related to the morphology of the touch area, and the morphology of the touch area may include the touch area area, the shape of the touch area boundary, and so on.

[0067] The signal value feature is a feature related to the signal value of the node capacitance signal within the touch area, and this feature may include the signal value distribution feature, the positive / negative feature of the signal value, the signal value change trend feature, the signal value extreme value feature, and so on.

[0068] The following describes the region screening process for the above two spatial domain features.

[0069] Please refer to Figure 3 , which shows a flowchart of a touch signal recognition method provided by another exemplary embodiment of the present application. The method may include the following steps:

[0070] Step 301, obtain the node capacitance signal of the nodes in the capacitive touch screen.

[0071] Step 302, determine the candidate touch area corresponding to the maximum value signal in the node capacitance signal.

[0072] As Figure 4 shown, when a conductor contacts the capacitive touch screen, the signal value of the node capacitance signal within the contact area 41 will increase significantly, while the change in the signal value of the node capacitance signal in the area outside the contact area 41 is relatively small. Therefore, the capacitive touch device can determine the maximum value signal by comparing the signal values of the node capacitance signals, and further determine the candidate touch area based on the maximum value signal.

[0073] Regarding the method of determining the maximum value signal, in a possible implementation, the capacitive touch device compares the node capacitance signal and the adjacent node capacitance signals of the node capacitance signal to obtain the maximum value signal, where the signal value of the maximum value signal is greater than the signal value of the adjacent node capacitance signals.

[0074] In some embodiments, for the first node capacitance signal, the capacitive touch device compares the signal value of the first node capacitance signal with the signal values of the adjacent node capacitance signals. If the signal value of the first node capacitance signal is greater than the signal value of the adjacent node capacitance signals, and when the first node capacitance signal is the adjacent node capacitance signal of the second node capacitance signal, the signal value of the first node capacitance signal is greater than the signal value of the second node capacitance signal, then it is determined that the first node capacitance signal is the maximum value signal.

[0075] Optionally, the adjacent node capacitance signal may be the (2n + 1) adjacent node capacitance signals around the current node capacitance signal. 2 -1 adjacent node capacitance signals. For example, the adjacent node capacitance signal may be the 8 adjacent node capacitance signals around the current node capacitance signal.

[0076] In some embodiments, the maximum value signal also needs to be greater than or equal to the signal value threshold.

[0077] Schematically, as Figure 4 shown, the capacitive touch device determines the node capacitance signal with a signal value of 519 as the maximum value signal.

[0078] Regarding the method for determining the candidate touch area corresponding to the maximum value signal, in one possible implementation, for the candidate node capacitance signals on the periphery of the maximum value signal, when the signal value of the candidate node capacitance signal is greater than the signal value threshold and the node capacitance signals between the candidate node capacitance signal and the maximum value signal show a decreasing trend, the candidate node capacitance signal is included in the candidate touch area corresponding to the maximum value signal.

[0079] Since there is a certain contact area when the conductor contacts the capacitive touch screen and the capacitance value of the contact area decreases from the center to the periphery, the node capacitance signals belonging to the touch area can be expanded outward with the maximum value signal as the reference point.

[0080] In some embodiments, if the signal value of the candidate node capacitance signal is greater than the signal value threshold and there is no other node capacitance signal between them, it is determined that the candidate node capacitance signal belongs to the candidate touch area corresponding to the maximum value signal.

[0081] If the signal value of the candidate node capacitance signal is greater than the signal value threshold and there are other node capacitance signals between them (the other node capacitance signals are located on the line connecting the candidate node capacitance signal and the maximum value signal), when the signal values of the candidate node capacitance signal and the other node capacitance signals show a decreasing trend (i.e., the signal value of the node capacitance signal closer to the maximum value signal is larger), it is determined that the candidate node capacitance signal belongs to the candidate touch area corresponding to the maximum value signal.

[0082] In the case where the signal values of the candidate node capacitance signal and the other node capacitance signals do not show a decreasing region (for example, the signal value of the candidate node capacitance signal is greater than the signal value of the other node capacitance signal), it is determined that the candidate node capacitance signal does not belong to the candidate touch area corresponding to the maximum value signal.

[0083] In addition, if the signal value of the candidate node capacitance signal is less than the signal value threshold, it is determined that the candidate node capacitance signal does not belong to the candidate touch area corresponding to the maximum value signal.

[0084] Among them, the signal value threshold can be other empirical values (positive values) such as 25, 50, etc., and the embodiments of the present application do not limit this.

[0085] Schematically, as Figure 5 shown, when the signal value of the maximum value signal is 882 and the signal value threshold is 25, based on the signal value of the peripheral candidate node capacitance signal, the candidate touch area 51 corresponding to the maximum value signal is determined.

[0086] In some embodiments, in order to further improve the accuracy of the determined candidate touch area and avoid the abnormal signal value of some node capacitance signals affecting the determination of the candidate touch area, for the determined candidate touch area, the capacitive touch device detects whether there is an overlap in the area boundary of the candidate touch area. In the case where there is an overlap in the area boundaries of at least two candidate touch areas, area fusion is performed on the at least two candidate touch areas.

[0087] Optionally, the overlap of the area boundaries of the candidate touch area means that the number of node capacitances between the nearest area boundaries of two candidate touch areas is less than the quantity threshold. For example, the quantity threshold can be 2.

[0088] Optionally, when performing area fusion, the capacitive touch device connects the nearest area boundaries of the two candidate touch areas.

[0089] Schematically, as Figure 6 shown, between the candidate touch area 61 and the candidate touch area 62, the number of node capacitances between the nearest area boundaries is 1, which is less than the quantity threshold. Therefore, the candidate touch area 61 and the candidate touch area 62 are fused to obtain the candidate touch area 63.

[0090] Step 303, extract the morphological features of the candidate touch area.

[0091] In a possible implementation manner, the capacitive touch device extracts the morphological features of the candidate touch area, and the obtained morphological features include at least one of the coverage area and the touch area shape.

[0092] Optionally, the coverage area is characterized by the number of node capacitance signals (or node capacitances) within the candidate touch area.

[0093] Optionally, the touch area shape is characterized by the touch area width and the touch area height of the candidate touch area.

[0094] Step 304, when the touch area coverage area characterized by the morphological features is within the target area range, determine the candidate touch area as the target touch area, and the target area range is the area range of the normal touch area.

[0095] Under normal circumstances, when performing a touch operation using a conventional touch operation object such as a finger or a stylus, the size of the contact area between the touch operation object and the screen is usually within a specific range, while the contact area between a disturbance object such as a water stain and the screen is uncertain and is usually smaller or larger than that of a conventional touch operation object.

[0096] In a possible implementation, the capacitive touch device can filter out obvious water stain touch areas by detecting whether the touch area coverage area of the candidate touch area is within the target area range.

[0097] In some embodiments, the target area range is characterized by a range of node capacitance signals (or node capacitances).

[0098] Optionally, the target area range can be an area range obtained based on big data statistics, or can be determined by collecting and analyzing data on the daily touch operations of the current user.

[0099] In a possible implementation, the capacitive touch device obtains the area coverage area of the contact area generated when the user touches the capacitive touch screen in a non-water state, so as to determine the target area range applicable to the current user.

[0100] Since there are differences in the sizes of different fingers of the same user, in order to further improve the recognition accuracy, the capacitive touch device can determine different target area ranges corresponding to different holding gestures.

[0101] When the touch area coverage area of the candidate touch area is within the target area range, the capacitive touch device determines that the candidate touch area is the target touch area; when the touch area coverage area of the candidate touch area is outside the target area range, the capacitive touch device determines that the candidate touch area is a water stain touch area.

[0102] Schematically, as Figure 7 shown, when the target area range is 9 - 15, since the touch area coverage area of the candidate touch area 71 is 13, the candidate touch area 71 is determined to be the target touch area; since the touch area coverage areas of the candidate touch areas 72 and 73 are 2, the candidate touch areas 72 and 73 are determined to be water stain touch areas.

[0103] Step 305, when the touch area form characterized by morphological features matches the target form, determine the candidate touch area as the target touch area, and the target form is the form of a normal touch area.

[0104] Under normal circumstances, when performing a touch operation using a conventional touch operation object such as a finger or a stylus, the contact area between the touch operation object and the screen is usually a regular shape such as a circle or an ellipse, while the shape of the contact area between a disturbing object such as a water stain and the screen is uncertain and usually an irregular shape.

[0105] In a possible implementation manner, the capacitive touch device can filter out obvious water stain touch areas by detecting whether the touch area shape of the candidate touch area matches the target shape.

[0106] In some embodiments, the target shape is characterized by the touch area width, the touch area height, and the touch area width-to-height ratio.

[0107] Optionally, the target shape can be a shape obtained based on big data statistics, or can be determined by collecting and determining data on the daily touch operations of the current user.

[0108] In a possible implementation manner, the capacitive touch device obtains the touch area width, the touch area height, and the touch area width-to-height ratio of the contact area generated when the user touches the capacitive touch screen in a non-water state, so as to determine the target shape applicable to the current user.

[0109] Since there are differences in the sizes of different fingers of the same user, in order to further improve the recognition accuracy, the capacitive touch device can determine different target shapes corresponding to different holding gestures.

[0110] When the touch area shape of the candidate touch area matches the target shape, the capacitive touch device determines that the candidate touch area is the target touch area; when the touch area shape of the candidate touch area does not match the target shape, the capacitive touch device determines that the candidate touch area is a water stain touch area.

[0111] Regarding the method for determining whether the touch area shape matches the target shape, in a possible implementation manner, as Figure 8 shown, the process may include the following steps.

[0112] Step 801, obtain the touch area width and the touch area height included in the shape features.

[0113] Optionally, the touch area width is characterized by the number of node capacitance signals (or node capacitances) between the left boundary and the right boundary of the candidate touch area, and the touch area height is characterized by the number of node capacitance signals (or node capacitances) between the upper boundary and the lower boundary of the candidate touch area.

[0114] Schematically, as Figure 9As shown, the touch area width of the candidate touch area 91 is 4, and the touch area height is 4; the touch area width of the candidate touch area 92 is 2, and the touch area height is 8.

[0115] Step 802: When the touch area width is greater than the width threshold, the touch area height is greater than the height threshold, and the ratio of the touch area width to the touch area height is within the target ratio range, it is determined that the touch area form of the candidate touch area matches the target form.

[0116] In some embodiments, the target form is characterized by a width threshold, a height threshold, and a target ratio range. Among them, the target ratio range is the aspect ratio range.

[0117] Since a normal touch area is usually oval or circular, and the difference between the area width and the area width is not too large, in a schematic example, the width threshold is 1, the height threshold is 1, and the target ratio range is 0.5 - 2.

[0118] When the touch area width is greater than the width threshold, the touch area height is greater than the height threshold, and the ratio of the touch area width to the touch area height is within the target ratio range, the terminal determines that the candidate touch area is the target touch area; when the touch area width is less than the width threshold, and / or the touch area height is less than the height threshold, and / or the ratio of the touch area width to the touch area height is outside the target ratio range, the terminal determines that the candidate touch area is a water trace touch area.

[0119] Schematically, as Figure 9 shown, since the aspect ratio 1 of the candidate touch area 91 is between 0.5 - 2, it is determined that the candidate touch area 91 is the target touch area; since the aspect ratio 1 / 8 of the candidate touch area 92 is outside 0.5 - 2, it is determined that the candidate touch area 92 is a water trace touch area.

[0120] Step 803: Determine that the candidate touch area is the target touch area.

[0121] Of course, in addition to identifying whether the touch area form of the candidate touch area matches the target form in the above - mentioned manner, in other possible embodiments, the coordinates of the node capacitance in the candidate touch area can also be input into an identification model, and the identification model determines whether the candidate touch area matches the target form based on the coordinates. This embodiment will not elaborate on this.

[0122] Step 306: Determine the node capacitance signal within the target touch area as the effective touch signal.

[0123] The implementation manner of this step can refer to the above - mentioned step 107.

[0124] In this embodiment, based on the characteristic that there are significant differences in the form of the touch area formed by water traces and conventional touch operation objects, by extracting the morphological characteristics of the candidate touch area and filtering the touch area based on the morphological characteristics, the water trace touch area can be quickly filtered, improving the recognition accuracy of subsequent touch signals.

[0125] Please refer to Figure 10 , which shows a flowchart of a touch signal recognition method provided by another exemplary embodiment of the present application. The method may include the following steps:

[0126] Step 1001, obtain the node capacitance signal of the node capacitance in the capacitive touch screen.

[0127] Step 1002, determine the candidate touch area corresponding to the maximum value signal in the node capacitance signal.

[0128] The implementation manner of this step may refer to step 302 above, and will not be elaborated herein in this embodiment.

[0129] Step 1003, extract the signal value characteristics of the candidate touch area.

[0130] In a possible implementation manner, the capacitive touch device extracts the signal value characteristics from the signal values of the node capacitance signals within the candidate touch area.

[0131] In some embodiments, the extracted signal value characteristics include at least one of the following:

[0132] 1. Signal value positive and negative characteristics: referring to the positive and negative value distribution of the node capacitance signals on the periphery of the maximum value signal;

[0133] 2. Peak-to-peak value characteristics: referring to the difference between the maximum value and the minimum value of the node capacitance signal in the candidate touch area;

[0134] 3. Signal gradient characteristics: referring to the gradient change trend between the maximum value signal and the signal values of the node capacitance signals on the periphery in the candidate touch area.

[0135] Step 1004, when the signal value characteristics indicate that the node capacitance signals on the periphery of the maximum value signal are all positive, determine the candidate touch area as the target touch area.

[0136] Through experiments, it is found that in the touch area formed by conventional touch operation objects, the node capacitance signals on the periphery of the maximum value signal are all positive, while in the touch area formed by water traces, there are negative values in the node capacitance signals on the periphery of the maximum value signal.

[0137] Therefore, in some embodiments, the capacitive touch device can determine whether the candidate touch area where the maximum signal belongs is the target touch area or the water trace touch area by detecting whether the node capacitance signals on the periphery of the maximum signal are all positive.

[0138] Optionally, the node capacitance signals on the periphery can be the 8 node capacitance signals adjacent to the maximum signal.

[0139] When the node capacitance signals on the periphery of the maximum signal are all positive, it is determined that the candidate touch area is the target touch area; when there is a negative value among the node capacitance signals on the periphery of the maximum signal, it is determined that the candidate touch area is the water trace touch area.

[0140] Schematically, as Figure 11 shown, in the candidate touch area 1101, the node capacitance signals on the periphery of the maximum signal 882 are all positive, so the candidate touch area 1101 is the target touch area. In the candidate touch area 1102, there is a node capacitance signal with a negative value of -64 on the periphery of the maximum signal 441, so the candidate touch area 1102 is the water trace touch area.

[0141] Step 1005, when the peak-to-peak value of the node capacitance signal in the candidate touch area characterized by the signal value feature is less than the target peak-to-peak value, it is determined that the candidate touch area is the target touch area.

[0142] Since there are negative values on the periphery of the touch area formed by water traces, while there are no negative values on the periphery of the touch area formed by the conventional touch operation object, the peak-to-peak value of the node capacitance signal in the target touch area is usually less than that in the water trace touch area, the peak-to-peak value of the node capacitance signal in the target touch area.

[0143] In some embodiments, the capacitive touch device can determine whether the candidate touch area is the target touch area or the water trace touch area by detecting whether the peak-to-peak value of the node capacitance signal in the candidate touch area is greater than the target peak-to-peak value.

[0144] When the peak-to-peak value of the node capacitance signal in the candidate touch area is greater than the target peak-to-peak value, it is determined that the candidate touch area is the water trace touch area; when the peak-to-peak value of the node capacitance signal in the candidate touch area is less than the target peak-to-peak value, it is determined that the candidate touch area is the target touch area.

[0145] Optionally, when determining the peak-to-peak value, the boundary of the candidate touch area can be expanded. For example, the candidate touch area is expanded by one unit of node capacitance signal.

[0146] Optionally, the target peak-to-peak value is determined by the peak-to-peak values of the node capacitance signals in the touch areas generated by a large number of water traces and in the non-water trace touch areas. The embodiments of the present application do not limit the specific target peak-to-peak value.

[0147] Step 1006: When the signal gradient value of the candidate touch area characterized by the signal value is less than the target gradient value, determine the candidate touch area as the target touch area, where the signal gradient value refers to the ratio between the maximum value signal and the capacitance signals of the surrounding nodes.

[0148] Since water marks are usually relatively flat, while touch operation objects such as fingers or styli usually present a certain curvature, the signal value change of the node capacitance signals within the touch area formed by water marks is relatively flat, while the signal value change of the node capacitance signals within the touch area formed by touch operation objects such as fingers or styli is relatively steep.

[0149] In some embodiments, the capacitive touch device can determine whether the candidate touch area is the target touch area or the water mark touch area by detecting whether the signal gradient value of the node capacitance signals within the candidate touch area is greater than the target gradient value.

[0150] When the signal gradient value of the node capacitance signals within the candidate touch area is greater than the target gradient value, determine the candidate touch area as the target touch area; when the signal gradient value of the node capacitance signals within the candidate touch area is less than the target gradient value, determine the candidate touch area as the water mark touch area.

[0151] Wherein, the signal gradient value can be the average ratio between the maximum value signal and the signal values of the adjacent node capacitance signals.

[0152] Optionally, the target gradient value is determined by the gradient values of the node capacitance signals within the touch areas generated by a large number of water marks and within the non-water mark touch areas. The embodiments of the present application do not limit the specific target gradient value.

[0153] Step 1007: Determine the node capacitance signals within the target touch area as valid touch signals.

[0154] The implementation manner of this step can refer to the above-mentioned step 107.

[0155] In this embodiment, based on the characteristic that there are significant differences in the signal values of the node capacitance signals within the touch areas formed by water marks and conventional touch operation objects, by extracting the signal value characteristics of the candidate touch area and screening the touch area based on the signal value characteristics, the water mark touch area can be quickly filtered, improving the recognition accuracy of subsequent touch signals.

[0156] It should be noted that in the above embodiments, only the example of screening the target touch area based on the morphological characteristics or signal value characteristics alone is described. In other embodiments, the capacitive touch device can screen the target touch area based on both the morphological characteristics and the signal value characteristics, further improving the recognition accuracy.

[0157] In addition, when performing area screening based on multi-dimensional area features, the capacitive touch device can perform area screening in a certain dimensional order (for example, screening in the order of coverage area, area shape, and negative values), or can perform area screening synchronously based on different dimensional area features. This embodiment does not limit this.

[0158] In some possible scenarios, when a finger contacts a water trace during the sliding process, when performing touch area recognition based on the above-mentioned spatial domain features, it will be impossible to distinguish which part is the finger touch area and which part is the water trace touch area.

[0159] To improve the accuracy of touch signal recognition in this scenario, in a possible implementation manner, after determining the target touch area based on the spatial domain features, the capacitive touch device can perform touch area tracking in adjacent frames based on the spatial domain features of the target touch area, where the touch area tracking method includes at least one of morphological tracking and signal value tracking.

[0160] Among them, adjacent frames refer to the node capacitance signal frames obtained by adjacent touch scans.

[0161] Optionally, morphological tracking refers to identifying the target touch area in the next frame based on at least one of the touch area coverage area and the touch area shape of the target touch area in the previous frame.

[0162] Optionally, signal value tracking refers to identifying the target touch area in the next frame based on at least one of the maximum value signal, the average signal value, or the cumulative signal value of the target touch area in the previous frame.

[0163] In some embodiments, the capacitive touch device performs feature matching on the spatial domain features of the target touch area and the spatial domain features of the candidate touch area in the adjacent frame, and determines the touch tracking area corresponding to the target touch area as the area in the candidate touch area whose feature matching degree reaches the matching degree threshold, where the touch tracking area is all or part of the candidate touch area.

[0164] Optionally, when the difference between the touch area coverage area of the target touch area and the touch area coverage area of the touch tracking area in the adjacent frame is less than the difference threshold, the touch tracking area is determined as the target touch area.

[0165] Optionally, when the touch area shape of the target touch area matches the touch area shape of the touch tracking area in the adjacent frame, the touch tracking area is determined as the target touch area.

[0166] Optionally, when the difference between the maximum value signal of the target touch area and the maximum value signal of the touch tracking area in the adjacent frame is less than the difference threshold, the touch tracking area is determined as the target touch area.

[0167] Optionally, when the accumulated signal value of the target touch area is less than the difference threshold from the accumulated signal value of the touch tracking area in the adjacent frame, the touch tracking area is determined as the target touch area.

[0168] Schematically, as Figure 12 shown, when a finger touches the screen, the capacitive touch device determines the target touch area 1201. When the finger slides and touches the water trace, if the screening is directly based on the spatial domain features, the finger touch area and the water trace area cannot be recognized. When performing area tracking based on the target touch area 1201, since the shape and signal value change of the target touch area 1201 are small, the finger touch area in the candidate touch area 1202 can be determined based on the signal value and the shape.

[0169] In this embodiment, the capacitive touch device performs area tracking in adjacent frames based on the spatial domain features of the recognized target touch area, and can recognize the finger touch area when the finger touches the water trace, further improving the touch recognition accuracy in the water state.

[0170] Please refer to Figure 13 , which shows a structural block diagram of a touch signal recognition device provided by an exemplary embodiment of the present application. The device includes:

[0171] An acquisition module 1301, configured to acquire node capacitance signals of nodes in a capacitive touch screen;

[0172] A processing module 1302, configured to determine a candidate touch area corresponding to the maximum value signal in the node capacitance signals;

[0173] The processing module 1302 is configured to perform area screening on the candidate touch area based on the spatial domain features of the candidate touch area to obtain a target touch area, where the area screening is used to filter out a water trace touch area, the node capacitance signals in the water trace touch area are generated by the water trace, and the node capacitance signals in the target touch area are generated by a touch operation object;

[0174] The processing module 1302 is configured to determine the node capacitance signals in the target touch area as valid touch signals.

[0175] Optionally, the processing module 1302 is further configured to:

[0176] Extract the spatial domain features of the candidate touch area, where the spatial domain features include at least one of morphological features and signal value features.

[0177] Optionally, when the spatial domain features include the morphological features, the processing module 1302 is configured to:

[0178] When the covered area of the touch area characterized by the morphological feature is within the target area range, determine the candidate touch area as the target touch area, where the target area range is the area range of a normal touch area;

[0179] When the morphology of the touch area characterized by the morphological feature matches the target morphology, determine the candidate touch area as the target touch area, where the target morphology is the morphology of a normal touch area.

[0180] Optionally, the processing module 1302 is configured to:

[0181] Obtain the width and height of the touch area included in the morphological feature;

[0182] When the width of the touch area is greater than the width threshold, the height of the touch area is greater than the height threshold, and the ratio of the width of the touch area to the height of the touch area is within the target ratio range, determine that the touch area morphology of the candidate touch area matches the target morphology;

[0183] Determine the candidate touch area as the target touch area.

[0184] Optionally, when the spatial domain feature includes the signal value feature, the processing module 1302 is configured to:

[0185] When the signal value feature indicates that the node capacitance signals on the periphery of the maximum value signal are all positive, determine the candidate touch area as the target touch area;

[0186] When the signal value feature indicates that the peak-to-peak value of the node capacitance signal in the candidate touch area is less than the target peak-to-peak value, determine the candidate touch area as the target touch area;

[0187] When the signal value feature indicates that the signal gradient value of the candidate touch area is less than the target gradient value, determine the candidate touch area as the target touch area, where the signal gradient value refers to the ratio between the maximum value signal and the peripheral node capacitance signals.

[0188] Optionally, the processing module 1302 is further configured to:

[0189] Based on the spatial domain feature of the target touch area, perform touch area tracking in adjacent frames, where the touch area tracking method includes at least one of morphology tracking and signal value tracking.

[0190] Optionally, the processing module 1302 is configured to:

[0191] Perform feature matching on the spatial domain features of the target touch area and the spatial domain features of the candidate touch areas in adjacent frames;

[0192] Determine the touch tracking area corresponding to the target touch area for the areas in the candidate touch areas where the feature matching degree reaches the matching degree threshold, where the touch tracking area is all or part of the candidate touch area.

[0193] Optionally, the processing module 1302 is configured to:

[0194] Compare the signal values of the node capacitance signal and the adjacent node capacitance signals of the node capacitance signal to obtain the maximum value signal, and the signal value of the maximum value signal is greater than the signal value of the adjacent node capacitance signal;

[0195] For the candidate node capacitance signals on the periphery of the maximum value signal, in the case where the signal value of the candidate node capacitance signal is greater than the signal value threshold and the node capacitance signals between the candidate node capacitance signal and the maximum value signal show a decreasing trend, include the candidate node capacitance signal in the candidate touch area corresponding to the maximum value signal.

[0196] Optionally, the processing module 1302 is further configured to:

[0197] In the case where the area boundaries of at least two of the candidate touch areas coincide, perform area fusion on at least two of the candidate touch areas.

[0198] Optionally, the processing module 1302 is further configured to:

[0199] Based on the node capacitance signal and the node self-capacitance signal of each node capacitance, determine the current screen state, where the current screen state includes a water state and a non-water state, and the water state refers to the state entered when water traces are recognized on the capacitive touch screen;

[0200] In the case where the current screen state is the water state, perform area screening on the candidate touch areas based on the spatial domain features of the candidate touch areas to obtain the target touch area.

[0201] In summary, due to the significant differences in the spatial domain characteristics of the touch regions generated by the touch operation object and water stains, in the embodiments of the present application, after searching for the maximum value signal in the node capacitance signal and determining the candidate touch region corresponding to the maximum value signal, based on the spatial domain characteristics of the candidate touch region, the water stain touch region generated by the water stain is identified and filtered to obtain the target touch region generated by the touch operation object. Furthermore, the node capacitance signal within the target touch region is determined as the valid touch signal, reducing the impact of the ghost point signal generated by the water stain on the touch recognition of the screen and improving the touch recognition accuracy of the capacitive touch device in the water state.

[0202] In this embodiment, by introducing water state detection and further performing water stain touch region detection and filtering when it is detected that the current screen state is the water state, the waste of processing resources caused by performing water stain touch region detection in a non-water state is avoided.

[0203] In this embodiment, based on the characteristic that there are significant differences in the morphology of the touch regions formed by water stains and conventional touch operation objects, by extracting the morphological characteristics of the candidate touch region and performing touch region screening based on this morphological characteristic, the water stain touch region can be quickly filtered, improving the recognition accuracy of subsequent touch signals.

[0204] In this embodiment, based on the characteristic that there are significant differences in the signal values of the node capacitance signals within the touch regions formed by water stains and conventional touch operation objects, by extracting the signal value characteristics of the candidate touch region and performing touch region screening based on this signal value characteristic, the water stain touch region can be quickly filtered, improving the recognition accuracy of subsequent touch signals.

[0205] In this embodiment, the capacitive touch device performs region tracking in adjacent frames based on the spatial domain characteristics of the identified target touch region, and can identify the finger touch region when the finger touches the water stain, further improving the touch recognition accuracy in the water state.

[0206] Please refer to Figure 14 , which shows a schematic structural diagram of a capacitive touch module provided by an exemplary embodiment of the present application. The capacitive touch module may include: a capacitive touch screen 1401 and a touch IC 1402.

[0207] The capacitive touch screen 1401 is used to detect the node capacitance signal, and perceives the touch operation by sensing the change of the node capacitance signal caused by the touch operation object, so as to realize the screen manipulation.

[0208] The touch IC 1402 has computing and storage functions, and is used to perform signal scanning on the node capacitance, calculate the operation position of the touch operation object, and report the touch event to the processor. In some embodiments, the touch IC 1402 is used to implement the touch signal recognition method provided in the above embodiments.

[0209] Please refer to Figure 15 , which shows a structural block diagram of a capacitive touch device provided by an exemplary embodiment of the present application. The capacitive touch device may include one or more of the following components: a processor 1501, a memory 1502, and a capacitive touch module 1503.

[0210] Optionally, the processor 1501 connects various parts within the entire computer device using various interfaces and lines, and executes various functions of the computer device and processes data by running or executing instructions, programs, code sets, or instruction sets stored in the memory 1502, and by calling data stored in the memory 1502.

[0211] The memory 1502 may include a random access memory (RAM), and may also include a read-only memory (ROM). The memory 1502 can be used to store instructions, programs, code, code sets, or instruction sets.

[0212] The capacitive touch module 1503 is used to detect changes in the node capacitance signal, calculate relevant information about the touch event through the touch IC inside it, and finally report the touch event to the processor. In some embodiments, the capacitive touch module 1503 is used to implement the touch signal recognition method provided in the above embodiments and report the touch event to the processor 1501.

[0213] An embodiment of the present application also provides a computer-readable storage medium, which stores at least one instruction, and the at least one instruction is used to be executed by the touch IC to implement the touch signal recognition method as described in the above embodiments.

[0214] An embodiment of the present application provides a computer program product or a computer program, which includes computer instructions, and the computer instructions are stored in a computer-readable storage medium. The touch IC reads the computer instructions from the computer-readable storage medium, and the touch IC executes the computer instructions, so that the capacitive touch device executes the touch signal recognition method provided in the above embodiments.

[0215] Those skilled in the art should be able to realize that in one or more of the above examples, the functions described in the embodiments of the present application can be implemented by hardware, software, firmware, or any combination thereof. When implemented using software, these functions can be stored in a computer-readable medium or transmitted as one or more instructions or codes on a computer-readable medium. The computer-readable medium includes computer storage media and communication media, where the communication media includes any medium that facilitates the transfer of a computer program from one place to another. The storage media can be any available medium accessible by a general-purpose or special-purpose computer.

[0216] The above are only alternative embodiments of the present application and are not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present application shall be included within the protection scope of the present application.

Claims

1. A touch signal recognition method, characterized in that, the method is used for a capacitive touch device, and the method includes: acquiring node capacitance signals of node capacitances in a capacitive touch screen; determining a candidate touch area corresponding to a maximum value signal in the node capacitance signals; performing area screening on the candidate touch area based on the spatial domain features of the candidate touch area to obtain a target touch area, wherein the area screening is used to filter a water trace touch area, the node capacitance signals in the water trace touch area are generated by water traces, and the node capacitance signals in the target touch area are generated by a touch operation object; determining the node capacitance signals in the target touch area as valid touch signals.

2. The method according to claim 1, characterized in that, before performing area screening on the candidate touch area based on the spatial domain features of the candidate touch area to obtain a target touch area, the method includes: extracting the spatial domain features of the candidate touch area, and the spatial domain features include at least one of morphological features and signal value features.

3. The method according to claim 2, characterized in that, when the spatial domain features include the morphological features, performing area screening on the candidate touch area based on the spatial domain features of the candidate touch area to obtain a target touch area includes at least one of the following: when the covered area of the touch area characterized by the morphological features is within a target area range, determining the candidate touch area as the target touch area, and the target area range is the area range of a normal touch area; when the morphology of the touch area characterized by the morphological features matches a target morphology, determining the candidate touch area as the target touch area, and the target morphology is the morphology of a normal touch area.

4. The method according to claim 3, characterized in that, when the morphology of the touch area characterized by the morphological features matches a target morphology, determining the candidate touch area as the target touch area includes: acquiring the width and height of the touch area included in the morphological features; when the width of the touch area is greater than a width threshold, and the height of the touch area is greater than a height threshold, and the ratio of the width of the touch area to the height of the touch area is within a target ratio range, determining that the touch area morphology of the candidate touch area matches the target morphology; determining the candidate touch area as the target touch area.

5. The method according to claim 2, characterized in that, when the spatial domain features include the signal value features, performing area screening on the candidate touch area based on the spatial domain features of the candidate touch area to obtain a target touch area includes at least one of the following: when the node capacitance signals on the periphery of the maximum value signal characterized by the signal value features are all positive, determining the candidate touch area as the target touch area; when the peak-to-peak value of the node capacitance signals in the candidate touch area characterized by the signal value features is less than a target peak-to-peak value, determining the candidate touch area as the target touch area; In the case where the signal gradient value characterizing the candidate touch area is less than the target gradient value, determine the candidate touch area as the target touch area, where the signal gradient value refers to the ratio between the maximum value signal and the capacitance signals of the surrounding nodes.

6. The method according to any one of claims 1 to 5, wherein, the method further includes: Based on the spatial domain features of the target touch area, perform touch area tracking in adjacent frames, where the touch area tracking method includes at least one of morphological tracking and signal value tracking.

7. The method according to claim 6, wherein, The performing touch area tracking in adjacent frames based on the spatial domain features of the target touch area includes: Perform feature matching on the spatial domain features of the target touch area and the spatial domain features of the candidate touch areas in adjacent frames; Determine the area in the candidate touch areas with a feature matching degree reaching the matching degree threshold as the touch tracking area corresponding to the target touch area, where the touch tracking area is all or part of the candidate touch areas.

8. The method according to any one of claims 1 to 5, wherein, The determining the candidate touch area corresponding to the maximum value signal in the node capacitance signals includes: Perform signal value comparison on the node capacitance signals and the adjacent node capacitance signals of the node capacitance signals to obtain the maximum value signal, and the signal value of the maximum value signal is greater than the signal values of the adjacent node capacitance signals; For the candidate node capacitance signals on the periphery of the maximum value signal, in the case where the signal value of the candidate node capacitance signal is greater than the signal value threshold and the node capacitance signals between the candidate node capacitance signal and the maximum value signal show a decreasing trend, include the candidate node capacitance signal in the candidate touch area corresponding to the maximum value signal.

9. The method according to claim 8, wherein, The determining the candidate touch area corresponding to the maximum value signal in the node capacitance signals further includes: In the case where the area boundaries of at least two of the candidate touch areas coincide, perform area fusion on at least two of the candidate touch areas.

10. The method according to any one of claims 1 to 5, wherein, the method further includes: Based on the node capacitance signals and the node self-capacitance signals of each node capacitance, determine the current screen state, where the current screen state includes a water state and a non-water state, and the water state refers to the state entered when water traces are identified on the capacitive touch screen; The performing area screening on the candidate touch area based on the spatial domain features of the candidate touch area to obtain the target touch area includes: In the case where the current screen state is the water state, perform area screening on the candidate touch area based on the spatial domain features of the candidate touch area to obtain the target touch area.

11. A touch signal recognition device, wherein, the device includes: An acquisition module for acquiring the node capacitance signals of the node capacitances in the capacitive touch screen; A processing module, configured to determine a candidate touch area corresponding to a maximum value signal in the node capacitance signal; The processing module is configured to perform area screening on the candidate touch area based on the spatial domain features of the candidate touch area to obtain a target touch area, where the area screening is used to filter out water trace touch areas, the node capacitance signals in the water trace touch areas are generated by water traces, and the node capacitance signals in the target touch area are generated by a touch operation object; The processing module is configured to determine the node capacitance signal in the target touch area as a valid touch signal.

12. A capacitive touch module, Characterized in that The capacitive touch module includes a capacitive touch screen and a touch integrated circuit IC, and the touch IC is configured to implement the touch signal recognition method according to any one of claims 1 to 10.

13. A capacitive touch device, Characterized in that The capacitive touch device is provided with the capacitive touch module according to claim 12.

14. A computer-readable storage medium, Characterized in that The storage medium stores at least one program code, and the at least one program code is used to be executed by a touch IC to implement the touch signal recognition method according to any one of claims 1 to 10.

15. A computer program product, Characterized in that The computer program product includes computer instructions, and the computer instructions are stored in a computer-readable storage medium; the touch IC reads the computer instructions from the computer-readable storage medium, and the touch IC executes the computer instructions to implement the touch signal recognition method according to any one of claims 1 to 10.

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