CN109739385B - Method and device for touch finger identification based on capacitance signal and touch screen - Google Patents

Abstract

The invention discloses a method and a device for identifying a touch finger based on a capacitance signal and a touch screen, wherein the method comprises the following steps: acquiring capacitance distribution acquisition data when a touch screen is pressed by multiple fingers; determining capacitance distribution data generated by the outer finger according to the fringe capacitance data in the acquired data; and after the capacitance distribution data generated by the outer fingers are stripped from the collected data, identifying the middle finger for touch control. By applying the method and the device, the problems of poor touch effect, such as broken lines, jitter and the like, caused by small inter-finger distance or signal disturbance during multi-finger touch can be solved, so that the touch effect and the user experience of a touch product are improved.

Description

Method and device for touch finger recognition based on capacitive signal and touch screen

technical field

The present invention relates to the technical field of touch control, and in particular, to a method and device for recognizing a touch finger based on a capacitive signal and a touch screen.

Background technique

Electronic equipment has been widely used and can provide a variety of functions, including telephony communication, electronic messaging, processing multimedia information, and accessing networks. With the development of science and technology, electronic devices are developing towards a trend of more diverse and user-friendly operation.

In order to facilitate inputting information or reduce the size of electronic devices, many electronic devices nowadays use touch panels as user interfaces, such as touch panels of notebook computers or touch screens of smart phones. The user touches the touch panel with a finger or a stylus to input signals to the electronic device. Traditionally, single-finger and single-point gestures were quite limited, so multi-finger, multi-point technology was developed later. The touch panel with multi-finger and multi-point function can recognize and sense multiple touch points at the same time to make the input more varied.

In practical applications, the inventors of the present invention found that when the existing touch products draw lines with multiple fingers at the same time, sometimes due to the short distance between the fingers, a situation similar to disconnection or shaking occurs, which affects the user experience and even the product. performance. For example, the schematic diagram of the effect of multi-finger scribing operation is shown in Figure 1. Multiple fingers work at the same time to scribble; A schematic diagram of suboptimal scribing is shown in Figure 2.

The inventor of the present invention analyzes the prior art and finds that the reason is that when the capacitive touch is multi-finger scribing or working, when the distance between the fingers is short, each finger will accumulate capacitance values around, resulting in different There is a problem of mutual interference between the signals generated by the fingers, so that the signals cannot be correctly identified, resulting in problems such as disconnection and interference, which affect the user's operation and the performance of the product. For example, as shown in Figure 3, in actual operation, the multi-finger operation will cause the capacitance under the finger to change the capacitance value from the center to the surrounding. Overlapping interference between capacitance values. Figure 4 shows the capacitance value distribution data of a three-finger scribing operation using actual values. It can be seen from this that due to the superimposed capacitance values, the three-finger scribing operation actually only has two peak capacitances, resulting in The misjudgment is that only two fingers are used for touch operation, resulting in problems such as disconnection and jitter, which affect the user experience and even product performance.

SUMMARY OF THE INVENTION

The present invention proposes a method and device for recognizing a touch finger based on a capacitive signal and a touch screen, which can improve the poor touch effect caused by the small distance between fingers or signal disturbance during multi-finger touch, such as disconnection and jitter, etc. to improve the touch effect and user experience of touch products.

Based on the above purpose, the present invention provides a method for identifying a touch finger based on a capacitive signal, including:

Obtain the capacitance distribution collection data when multiple fingers press the touch screen;

Determine the capacitance distribution data generated by the outer finger according to the edge capacitance data in the collected data;

After stripping the capacitance distribution data generated by the outer finger from the collected data, the middle finger that touches is identified.

Wherein, the outer fingers are specifically upper/lower fingers; and

The determining of the capacitance distribution data generated by the outer finger according to the edge capacitance data in the collected data specifically includes:

According to the upper/lower edge capacitance data of the upper/lower finger in the collected data, after symmetrically calculating the lower/upper edge capacitance data of the upper/lower finger, the capacitance distribution generated by the upper/lower finger is obtained. data.

Alternatively, the outer fingers are specifically left/right fingers; and

The determining of the capacitance distribution data generated by the outer finger according to the edge capacitance data in the collected data specifically includes:

According to the left/right edge capacitance data of the left/right finger in the collected data, after symmetrically calculating the right/left edge capacitance data of the left/right finger, the capacitance distribution generated by the left/right finger is obtained. data.

Preferably, after the acquisition of the capacitance distribution collection data when multiple fingers press the touch screen, the method further includes:

Expanding the collected data with a Gaussian distribution to obtain Gaussian distributed multi-finger capacitance data; and

The determining of the capacitance distribution data generated by the outer finger according to the edge capacitance data in the collected data specifically includes:

According to the edge capacitance data in the multi-finger capacitance data of the Gaussian distribution, determine the outer finger capacitance data of the Gaussian distribution;

Perform reverse Gaussian processing on the outer finger capacitance data of the Gaussian distribution to obtain capacitance distribution data generated by the outer finger.

The present invention also provides a device for identifying a touch finger based on a capacitive signal, comprising:

The capacitive signal acquisition module is used to acquire the capacitive distribution acquisition data when multiple fingers press the touch screen;

an outer finger capacitance distribution determination module, configured to determine the capacitance distribution data generated by the outer finger according to the edge capacitance data in the collected data;

The capacitance data stripping module is used to identify the touch middle finger after stripping the capacitance distribution data generated by the outer finger from the collected data.

Further, the device also includes:

a Gaussian distribution expansion module, configured to perform Gaussian distribution expansion on the collected data to obtain Gaussian distributed multi-finger capacitance data; and

The outer finger capacitance distribution determining module is specifically configured to determine the outer finger capacitance data of the Gaussian distribution according to the fringe capacitance signal in the multi-finger capacitance data of the Gaussian distribution; perform a reverse Gaussian operation on the outer finger capacitance data of the Gaussian distribution. processing to obtain the capacitance distribution data generated by the outer finger.

The present invention also provides a touch screen, comprising: the above-mentioned device for recognizing a touch finger based on a capacitive signal.

In the technical solution of the present invention, after acquiring the capacitance distribution collection data when multiple fingers press the touch screen, the capacitance distribution data generated by the outer fingers can be determined according to the edge capacitance data in the collected data; and then stripped from the collected data After the capacitance distribution data generated by the outer fingers, it is helpful to more accurately identify the touch fingers when the distance between the fingers is small or the signal is disturbed during multi-finger touch, especially the two outer fingers are identified. Touch between the middle fingers, so as to obtain a stable multi-finger work trajectory.

Further, in the technical solution of the present invention, the Gaussian distribution expansion is also performed on the capacitance distribution collection data when the touch screen is pressed by multiple fingers, so that more abundant data details can be obtained, which is convenient for edge capacitance data analysis; thus, the outer side can be more accurately determined. The capacitance distribution data generated by the fingers; based on the more accurate capacitance distribution data generated by the outer fingers, the touch fingers can be more accurately identified, especially the middle finger of the touch between the two outer fingers, so as to obtain More stable multi-finger work trajectory.

Description of drawings

1 is a schematic diagram of the effect during a multi-finger scribing operation in the prior art;

Fig. 2 is a schematic diagram of disconnection or jitter phenomenon caused by reasons such as small distance or excessive signal interference during multi-finger operation in the prior art;

3 is a schematic diagram of overlapping capacitance values between fingers during a multi-finger operation in the prior art;

4 is a schematic diagram of capacitance value distribution data during a three-finger scribing operation in the prior art;

5 is a flowchart of a method for identifying a touch finger based on a capacitive signal according to Embodiment 1 of the present invention;

6 is a schematic diagram of edge capacitance data of an outer finger according to Embodiment 1 of the present invention;

7 is a block diagram of the internal structure of a device for identifying a touch finger based on a capacitive signal according to Embodiment 1 of the present invention;

8 is a flowchart of a method for identifying a touch finger based on a capacitive signal according to Embodiment 2 of the present invention;

9a is a schematic diagram of performing Gaussian distribution expansion on the capacitance data generated by a single finger according to Embodiment 2 of the present invention;

FIG. 9b is a schematic diagram of obtaining the capacitance data of the outer fingers of the Gaussian distribution after the acquisition data of the capacitance distribution obtained when the multi-finger presses the touch screen is extended by the Gaussian distribution according to the second embodiment of the present invention;

FIG. 10 is a block diagram of the internal structure of a device for recognizing a touch finger based on a capacitive signal according to Embodiment 2 of the present invention.

Detailed ways

In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to specific embodiments and accompanying drawings.

The following describes in detail the embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, but not to be construed as a limitation of the present invention.

It will be understood by those skilled in the art that the singular forms "a", "an", "the" and "the" as used herein can include the plural forms as well, unless expressly stated otherwise. It will further be understood that when we refer to an element as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Furthermore, "connected" or "coupled" as used herein may include wirelessly connected or wirelessly coupled. As used herein, the term "and/or" includes all or any element and all combination of one or more of the associated listed items.

It should be noted that all expressions using "first" and "second" in the embodiments of the present invention are for the purpose of distinguishing two entities with the same name but not the same or non-identical parameters. It can be seen that "first" and "second" It is only for the convenience of expression and should not be construed as a limitation to the embodiments of the present invention, and subsequent embodiments will not describe them one by one.

The inventor of the present invention considers that the capacitance value generated by the touch of each finger will affect the capacitance values of other fingers. In the limited capacitance signal information, stripping the capacitance signal generated by a single finger is helpful for multi-finger touch. When the distance between the fingers is small or the signal is disturbed, the touch finger can be more accurately identified, and then the touch position of the finger can be identified, so as to obtain a stable multi-finger working trajectory.

The inventor of the present invention further considers that, since the distribution of the capacitance value change when each finger is pressed is actually basically symmetrically distributed on the upper and lower edges, or basically symmetrically distributed on the left and right edges; therefore, when obtaining the edge capacitance of one half of a finger After the signal distribution data is obtained, the edge capacitance signal distribution data of the other half of the finger can be symmetrically obtained, so as to obtain the capacitance distribution data generated when the finger is pressed. Therefore, after acquiring the capacitance distribution collection data when multiple fingers press the touch screen, the capacitance distribution data generated by the outer finger can be determined according to the edge capacitance data in the collection data; and then the outer finger is stripped from the collection data. The generated capacitance distribution data can help to more accurately identify the touch fingers when the distance between the fingers is small or the signal is disturbed during multi-finger touch, especially the touch between the two outer fingers. Control the middle finger, so as to obtain a stable multi-finger work trajectory.

The technical solutions of the embodiments of the present invention will be described in detail below with reference to the accompanying drawings. The present invention specifically provides the following two embodiments.

Example 1

The first embodiment of the present invention provides a method for identifying a touch finger based on a capacitive signal. The specific process is shown in FIG. 5 and includes the following steps:

Step S501: Acquire the capacitance distribution collection data when the touch screen is pressed by multiple fingers.

In this step, the distribution data of the capacitance signals generated by the multi-finger pressing and collected when multiple fingers press the touch screen are acquired, so as to obtain the capacitance distribution collection data when the multi-finger presses the touch screen. As shown in FIG. 6 , the multiple fingers pressing the touch screen may include an outer pressing finger, or a middle pressing finger located between two outer pressing fingers. For ease of description, the outer pressing fingers are referred to herein as outer fingers. For the multi-finger vertical line drawing, the outer fingers may be the fingers arranged on the upper and lower sides; for the multi-finger horizontal line drawing, the outer fingers may be the left and right fingers.

Step S502: Determine the capacitance distribution data generated by the outer finger according to the edge capacitance data in the acquired capacitance distribution collection data.

In fact, the capacitance data distributed on the edge in the capacitance distribution acquisition data, that is, the edge capacitance data, is often generated by the outer finger, and is not affected by the capacitance generated by the pressing of other fingers. Therefore, the value of the edge capacitance can be consistent with that generated by a single finger. Therefore, based on the capacitance distribution data generated by a single finger obtained from experience, the capacitance data corresponding to the capacitance distribution data generated by a single finger can be regarded as the edge capacitance data from the capacitance distribution data collected when multiple fingers press the touch screen; Accordingly, in this step, the capacitance distribution data generated by the outer finger can be obtained after performing symmetry processing according to the edge capacitance data.

Specifically, as shown in FIG. 6 , in the case of vertical lines with multiple fingers, when determining the capacitance distribution data generated by the upper finger, the acquired capacitance distribution data can be collected without interference from capacitance signals generated by pressing by other fingers. The upper edge capacitance data of the upper finger, and the lower edge capacitance data of the upper finger is symmetrical, so as to obtain the capacitance distribution data generated by the upper finger.

When determining the capacitance distribution data generated by the lower finger, the capacitance data of the lower edge of the lower finger that is not disturbed by the capacitance signal generated by the pressing of other fingers in the acquired capacitance distribution can be collected, and the upper edge of the lower finger can be symmetrically calculated. After the edge capacitance data is obtained, the capacitance distribution data generated by the lower finger is obtained.

Similarly, for the multi-finger horizontal line, when determining the capacitance distribution data generated by the left finger, the left finger of the left finger that is not disturbed by the capacitance signal generated by the pressing of other fingers can be collected according to the acquired capacitance distribution data. For the edge capacitance data, the right edge capacitance data of the left finger is symmetrically obtained, so as to obtain the capacitance distribution data generated by the left finger.

When determining the capacitance distribution data generated by the right finger, the capacitance data of the right edge of the right finger that is not disturbed by the capacitance signal generated by the pressing of other fingers in the acquired capacitance distribution can be collected, and the left edge of the right finger can be symmetrically calculated. edge capacitance data, so as to obtain the capacitance distribution data generated by the right finger.

Step S503 : After stripping the capacitance distribution data generated by the outer finger from the acquired capacitance distribution collection data, identify the touch middle finger.

Specifically, the capacitance distribution data generated by the outer finger is stripped from the acquired capacitance distribution collection data to obtain the remaining capacitance distribution data; that is, for the same collection point, the capacitance distribution generated by the outer finger is subtracted from the capacitance data collected at the point. The capacitance data located at the collection point in the data is the remaining capacitance data of the collection point.

Furthermore, since the interference capacitance caused by the outer finger to the middle finger is removed from the remaining capacitance distribution data, it can be more accurately judged whether there are other fingers other than the outer finger pressing the touch screen based on the remaining capacitance distribution data. The specific identification method can use the existing identification method. For example, if it is determined that the residual capacitance distribution data has a capacitance value greater than the threshold value, and the area occupied by the capacitance value greater than the threshold value is greater than the set value, it is identified that there are other than the above Fingers other than the outer finger press the touch screen; otherwise, it is determined that no other fingers press the touch screen. When it is determined that another finger is pressing the touch screen, the middle finger of the touch can be accurately identified, and then the touch position of the finger can be identified according to the peak value of the capacitance, thereby obtaining a stable multi-finger working track.

Based on the above method, the first embodiment of the present invention provides a device for recognizing a touch finger based on a capacitive signal that can be installed in a touch screen. The internal structure is shown in FIG. 7 , including: a capacitive signal acquisition module 701 , an outer finger capacitance Distribution determination module 702 , capacitance data stripping module 703 .

The capacitance signal acquisition module 701 is used to acquire the capacitance distribution acquisition data when the touch screen is pressed by multiple fingers.

The outer finger capacitance distribution determination module 702 is configured to determine the capacitance distribution data generated by the outer finger according to the edge capacitance data in the capacitance distribution collection data acquired by the capacitance signal collection module 701 . Specifically, the outer finger capacitance distribution determination module 702 can obtain the lower/upper edge capacitance data of the upper/lower finger by symmetry according to the upper/lower edge capacitance data of the upper/lower finger in the collected data, and obtain Capacitance distribution data generated by the upper/lower finger; or according to the left/right edge capacitance data of the left/right finger in the collected data, symmetrically calculate the right/left edge capacitance data of the left/right finger Then, the capacitance distribution data generated by the left/right fingers are obtained.

The capacitance data stripping module 703 is configured to strip out the capacitance distribution data generated by the outer finger determined by the outer finger capacitance distribution determining module 702 from the capacitance distribution acquisition data, and identify the middle finger that touches. Specifically, the capacitance data stripping module 703 can strip the capacitance distribution data generated by the outer finger from the capacitance distribution collection data to obtain the remaining capacitance distribution data; based on the remaining capacitance distribution data, determine that there are other fingers pressing When the touch screen is used, the middle finger that touches the touch screen is identified.

In the technical solution of the first embodiment of the present invention, since the distribution of the capacitance value change when each finger is pressed is actually basically symmetrically distributed on the upper and lower edges, or basically symmetrically distributed on the left and right edges; therefore, when obtaining the half edge of a finger After the capacitance signal distribution data is obtained, the edge capacitance signal distribution data of the other half of the finger can be symmetrically obtained, so as to obtain the capacitance distribution data generated when the finger is pressed. Therefore, after acquiring the capacitance distribution collection data when multiple fingers press the touch screen, the capacitance distribution data generated by the outer finger can be determined according to the edge capacitance data in the collection data; and then the outer finger is stripped from the collection data. The generated capacitance distribution data can help to more accurately identify the touch fingers when the distance between the fingers is small or the signal is disturbed during multi-finger touch, especially the touch between the two outer fingers. Control the middle finger, so as to obtain a stable multi-finger work trajectory.

Embodiment 2

The second embodiment of the present invention provides a method for identifying a touch finger based on a capacitive signal. The specific process is shown in FIG. 8 , including the following steps:

Step S801: Acquire the capacitance distribution collection data when the touch screen is pressed with multiple fingers.

In this step, the distribution data of the capacitance signals generated by the multi-finger pressing and collected when multiple fingers press the touch screen are acquired, so as to obtain the capacitance distribution collection data when the multi-finger presses the touch screen. As shown in FIG. 6 , the multiple fingers pressing the touch screen may include an outer pressing finger, or a middle pressing finger located between two outer pressing fingers. For ease of description, the outer pressing fingers are referred to herein as outer fingers. For the multi-finger vertical line drawing, the outer fingers may be the fingers arranged on the upper and lower sides; for the multi-finger horizontal line drawing, the outer fingers may be the left and right fingers.

Step S802 : performing Gaussian distribution expansion on the acquired capacitance distribution collection data to obtain Gaussian distributed multi-finger capacitance data.

In order to identify the edge capacitance data more clearly in the subsequent steps, in this step, data expansion may be performed on the acquired capacitance distribution collection data to obtain more abundant data for analysis. For example, Fig. 9a shows a schematic diagram of the Gaussian distribution expansion of the capacitance data generated by a single finger; and Fig. 9b shows the Gaussian distribution of the acquired capacitance distribution data obtained when pressing the touch screen with multiple fingers. Schematic representation of distributed outer finger capacitance data. It can be seen from Figure 9b that the expanded data volume is equivalent to 2-3 times the original collected data volume, which enriches the details of the data and facilitates the acquisition of edge capacitance data in subsequent steps.

Step S803: Determine the outer finger capacitance data of the Gaussian distribution according to the fringe capacitance data in the multi-finger capacitance data of the Gaussian distribution; perform reverse Gaussian processing on the outer finger capacitance data of the Gaussian distribution to obtain the outer finger capacitance data. capacitance distribution data.

In fact, since the capacitance data distributed on the edge in the capacitance distribution acquisition data, that is, the fringe capacitance data, is often generated by the outer finger, and is not affected by the capacitance generated by the pressing of other fingers. Therefore, the edge capacitance data in the capacitance distribution acquisition data is It can be consistent with the capacitance distribution data generated by a single finger; and similarly, the edge capacitance data in the Gaussian distribution of the multi-finger capacitance data obtained after Gaussian distribution expansion can be consistent with the capacitance distribution data generated by a single finger. Gaussian distribution expansion Therefore, according to the single-finger capacitance data of Gaussian distribution obtained after the capacitance distribution data generated for a single finger is expanded by Gaussian distribution, the single-finger capacitance data that conforms to the Gaussian distribution can be obtained from the multi-finger capacitance data of Gaussian distribution. The capacitance data is used as the edge capacitance data; accordingly, in this step, the capacitance data distributed on the edge, that is, the edge capacitance data, is obtained from the multi-finger capacitance data of the Gaussian distribution, and the outer finger capacitance of the Gaussian distribution is determined according to the obtained edge capacitance data. After the data is obtained, reverse Gaussian processing is performed on the outer finger capacitance data of the Gaussian distribution to obtain capacitance distribution data generated by the outer finger.

For example, as shown in FIG. 9b, according to the upper edge capacitance data of the upper finger in the Gaussian distributed multi-finger capacitance data, the lower edge capacitance data of the upper finger in the Gaussian distributed multi-finger capacitance data is symmetrically obtained Then, the upper finger capacitance data of the Gaussian distribution is obtained; and then reverse Gaussian processing is performed on the upper finger capacitance data of the Gaussian distribution to obtain the capacitance distribution data generated by the upper finger.

According to the lower edge capacitance data of the lower finger in the multi-finger capacitance data of the Gaussian distribution, after symmetrically calculating the upper edge capacitance data of the lower finger in the multi-finger capacitance data of the Gaussian distribution, the Gaussian distribution is obtained. Capacitance data of the lower finger; and then performing reverse Gaussian processing on the lower finger capacitance data of the Gaussian distribution to obtain the capacitance distribution data generated by the lower finger.

Alternatively, according to the left edge capacitance data of the left finger in the Gaussian distributed multi-finger capacitance data, the Gaussian distribution of the left finger capacitance data in the multi-finger capacitance data is symmetrically obtained, and then the Gaussian distribution is obtained. Distributed left finger capacitance data; and then perform reverse Gaussian processing on the Gaussian distributed left finger capacitance data to obtain capacitance distribution data generated by the left finger.

According to the capacitance data of the right edge of the right finger in the multi-finger capacitance data of the Gaussian distribution, the capacitance data of the left edge of the right finger in the multi-finger capacitance data of the Gaussian distribution is symmetrical, and the Gaussian distribution of the capacitance data is obtained. Right finger capacitance data; and then perform reverse Gaussian processing on the right finger capacitance data of the Gaussian distribution to obtain capacitance distribution data generated by the right finger.

Step S804: After stripping the capacitance distribution data generated by the outer finger from the acquired capacitance distribution collection data, identify the middle finger that touches.

Specifically, the capacitance distribution data generated by the outer finger is stripped from the acquired capacitance distribution collection data to obtain the remaining capacitance distribution data; further, since the interference capacitance caused by the outer finger to the middle finger is removed from the remaining capacitance distribution data, therefore, Based on the remaining capacitance distribution data, it can be more accurately determined whether there is another finger other than the outer finger pressing the touch screen. When it is determined that another finger is pressing the touch screen, the middle finger of the touch can be accurately identified, and then the touch position of the finger can be identified according to the peak value of the capacitance, thereby obtaining a stable multi-finger working track.

Based on a method for recognizing a touch finger based on a capacitive signal provided in the second embodiment of the present invention, a device for recognizing a touch finger based on a capacitive signal provided in the second embodiment of the present invention can be provided in a touch screen. The internal structure is as follows: As shown in FIG. 10 , it includes: a capacitance signal acquisition module 1001 , a Gaussian distribution expansion module 1002 , an outer finger capacitance distribution determination module 1003 , and a capacitance data stripping module 1004 .

The capacitance signal acquisition module 1001 is used to acquire the capacitance distribution acquisition data when the touch screen is pressed with multiple fingers.

The Gaussian distribution expansion module 1002 is configured to perform Gaussian distribution expansion on the capacitance distribution acquisition data acquired by the capacitance signal acquisition module 1001 to obtain Gaussian distributed multi-finger capacitance data;

The outer finger capacitance distribution determination module 1003 is configured to determine the outer finger capacitance data of the Gaussian distribution according to the fringe capacitance signal in the Gaussian distributed multi-finger capacitance data expanded by the Gaussian distribution expansion module 1002; The capacitance data is subjected to inverse Gaussian processing to obtain capacitance distribution data generated by the outer finger.

Specifically, the outer finger capacitance distribution determination module 1003 can symmetrically calculate the lower edge of the upper finger in the Gaussian distributed multi-finger capacitance data according to the upper edge capacitance data of the upper finger in the Gaussian distributed multi-finger capacitance data After the edge capacitance data, obtain the upper finger capacitance data of the Gaussian distribution; then perform reverse Gaussian processing on the upper finger capacitance data of the Gaussian distribution to obtain the capacitance distribution data generated by the upper finger; The lower edge capacitance data of the lower finger in the multi-finger capacitance data of the Gaussian distribution, and the upper edge capacitance data of the lower finger in the multi-finger capacitance data of the Gaussian distribution is symmetrical, and the lower edge of the Gaussian distribution is obtained. finger capacitance data; then perform reverse Gaussian processing on the lower finger capacitance data of the Gaussian distribution to obtain the capacitance distribution data generated by the lower finger; or, according to the left side of the multi-finger capacitance data of the Gaussian distribution For the capacitance data of the left edge of the finger, after symmetric the capacitance data of the right edge of the left finger in the multi-finger capacitance data of the Gaussian distribution, the capacitance data of the left finger of the Gaussian distribution is obtained; Perform reverse Gaussian processing on the capacitance data of the side finger to obtain the capacitance distribution data generated by the left finger; or calculate the Gaussian distribution symmetrically according to the capacitance data of the right edge of the right finger in the multi-finger capacitance data of the Gaussian distribution After the capacitance data of the left edge of the right finger in the multi-finger capacitance data obtained by , obtain the capacitance data of the right finger of the Gaussian distribution; and then perform reverse Gaussian processing on the capacitance data of the right finger of the Gaussian distribution to obtain the Capacitance distribution data generated by the right finger.

The capacitance data stripping module 1004 is used to identify the middle finger that touches after stripping the capacitance distribution data generated by the outer finger obtained by the outer finger capacitance distribution determination module 1003 from the capacitance distribution collection data obtained by the capacitance signal collection module 1001 .

In the technical solution of the second embodiment of the present invention, since the distribution of the capacitance value change when each finger is pressed is actually basically symmetrically distributed on the upper and lower edges, or basically symmetrically distributed on the left and right edges; therefore, when obtaining the half edge of a finger After the capacitance signal distribution data is obtained, the edge capacitance signal distribution data of the other half of the finger can be symmetrically obtained, so as to obtain the capacitance distribution data generated when the finger is pressed. Therefore, after acquiring the capacitance distribution collection data when multiple fingers press the touch screen, the capacitance distribution data generated by the outer finger can be determined according to the edge capacitance data in the collection data; and then the outer finger is stripped from the collection data. The generated capacitance distribution data can help to more accurately identify the touch fingers when the distance between the fingers is small or the signal is disturbed during multi-finger touch, especially the touch between the two outer fingers. Control the middle finger, so as to obtain a stable multi-finger work trajectory.

Further, in order to obtain a more accurate identification result, in the technical solution of the second embodiment of the present invention, Gaussian distribution expansion is also performed on the capacitance distribution collected data when the touch screen is pressed by multiple fingers, so that more abundant data details can be obtained, which is convenient for making edges. Capacitance data analysis; thus, the capacitance distribution data generated by the outer fingers can be more accurately determined; based on the more accurate capacitance distribution data generated by the outer fingers, the touch fingers can be more accurately identified, especially those located on the two outer The middle finger of the touch between fingers, so as to obtain a more stable multi-finger work track.

Those skilled in the art can understand that the various operations, methods, steps, measures, and solutions discussed in the present invention may be alternated, modified, combined or deleted. Further, other steps, measures, and solutions in the various operations, methods, and processes that have been discussed in the present invention may also be alternated, modified, rearranged, decomposed, combined, or deleted. Further, steps, measures and solutions in the prior art with various operations, methods, and processes disclosed in the present invention may also be alternated, modified, rearranged, decomposed, combined or deleted.

Those of ordinary skill in the art should understand that the discussion of any of the above embodiments is only exemplary, and is not intended to imply that the scope of the present disclosure (including the claims) is limited to these examples; under the spirit of the present invention, the above embodiments or There may also be combinations between technical features in different embodiments, steps may be carried out in any order, and there are many other variations of the different aspects of the invention as described above, which are not provided in detail for the sake of brevity. Therefore, any omission, modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims (8)

1. A method for identifying a touch finger based on a capacitive signal, comprising: Obtain the capacitance distribution collection data when multiple fingers press the touch screen; Determine the capacitance distribution data generated by the outer finger according to the edge capacitance data in the collected data, including: When the outer finger is specifically an upper/lower finger, according to the upper/lower edge capacitance data of the upper/lower finger in the collected data, symmetrically calculate the lower/upper edge capacitance data of the upper/lower finger Then, the capacitance distribution data generated by the upper/lower fingers are obtained; When the outer finger is specifically a left/right finger, according to the left/right edge capacitance data of the left/right finger in the collected data, symmetrically calculate the right/left edge capacitance data of the left/right finger Then, the capacitance distribution data generated by the left/right fingers are obtained; After stripping the capacitance distribution data generated by the outer finger from the collected data, the middle finger that touches is identified. 2 . The method according to claim 1 , wherein after acquiring the capacitance distribution collection data when multiple fingers press the touch screen, the method further comprises: 2 . Expanding the collected data with a Gaussian distribution to obtain Gaussian distributed multi-finger capacitance data; and The determining of the capacitance distribution data generated by the outer finger according to the edge capacitance data in the collected data specifically includes: According to the edge capacitance data in the multi-finger capacitance data of the Gaussian distribution, determine the outer finger capacitance data of the Gaussian distribution; Perform reverse Gaussian processing on the outer finger capacitance data of the Gaussian distribution to obtain capacitance distribution data generated by the outer finger. 3. The method according to claim 2, wherein the outer fingers are specifically upper/lower fingers; and The determination of the outer finger capacitance data of the Gaussian distribution according to the edge capacitance data in the multi-finger capacitance data of the Gaussian distribution specifically includes: According to the upper/lower edge capacitance data of the upper/lower fingers in the multi-finger capacitance data of the Gaussian distribution, the lower/upper edge capacitance data of the upper/lower fingers in the multi-finger capacitance data of the Gaussian distribution are symmetrically obtained Then, the upper/lower finger capacitance data of the Gaussian distribution is obtained. 4. The method according to claim 2, wherein the outer fingers are specifically left/right fingers; and The determination of the outer finger capacitance data of the Gaussian distribution according to the edge capacitance data in the multi-finger capacitance data of the Gaussian distribution specifically includes: According to the left/right edge capacitance data of the left/right finger in the Gaussian distributed multi-finger capacitance data, the right/left edge capacitance data of the left/right finger in the Gaussian distributed multi-finger capacitance data is symmetrical Then, the left/right finger capacitance data of the Gaussian distribution is obtained. 5. The method according to any one of claims 1-4, wherein after the capacitance distribution data generated by the outer finger is stripped from the collected data, identifying the middle finger of the touch, specifically comprising: After the capacitance distribution data generated by the outer finger is stripped from the collected data, remaining capacitance distribution data is obtained; Based on the residual capacitance distribution data, when it is determined that another finger presses the touch screen, the middle finger that touches the touch screen is identified. 6. A device for identifying a touch finger based on a capacitive signal, comprising: The capacitive signal acquisition module is used to acquire the capacitive distribution acquisition data when multiple fingers press the touch screen; The outer finger capacitance distribution determination module is used to determine the capacitance distribution data generated by the outer finger according to the edge capacitance data in the collected data, including: When the outer finger is specifically an upper/lower finger, according to the upper/lower edge capacitance data of the upper/lower finger in the collected data, symmetrically calculate the lower/upper edge capacitance data of the upper/lower finger Then, the capacitance distribution data generated by the upper/lower fingers are obtained; When the outer finger is specifically a left/right finger, according to the left/right edge capacitance data of the left/right finger in the collected data, symmetrically calculate the right/left edge capacitance data of the left/right finger Then, the capacitance distribution data generated by the left/right fingers are obtained; The capacitance data stripping module is used to identify the touch middle finger after stripping the capacitance distribution data generated by the outer finger from the collected data. 7. The apparatus of claim 6, further comprising: a Gaussian distribution expansion module, configured to perform Gaussian distribution expansion on the collected data to obtain Gaussian distributed multi-finger capacitance data; and The outer finger capacitance distribution determining module is specifically configured to determine the outer finger capacitance data of the Gaussian distribution according to the fringe capacitance signal in the multi-finger capacitance data of the Gaussian distribution; perform a reverse Gaussian operation on the outer finger capacitance data of the Gaussian distribution. processing to obtain the capacitance distribution data generated by the outer finger. 8 . A touch screen, comprising: the device for recognizing a touch finger based on a capacitive signal as claimed in claim 6 or 7 .

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