CN116755952A - Edge weight adjustment method, system and computer equipment - Google Patents
Edge weight adjustment method, system and computer equipment Download PDFInfo
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Abstract
The invention provides an edge weight adjustment method, an edge weight adjustment system and computer equipment. The edge weight adjustment method comprises the following steps: based on the resolution and the number of channels in the selected direction of the touch screen, obtaining the coordinate weight of the edge channel in the selected direction; establishing an index model, and obtaining edge weight adjustment parameters of the edge channels in the selected direction based on the index model; and obtaining the corrected coordinate weight of the edge channel in the selected direction based on the coordinate weight and the edge weight adjustment parameter. According to the edge weight adjustment method, the coordinate weight of the selected direction edge channel is corrected through the obtained edge weight adjustment parameter of the selected direction edge channel, so that the corrected coordinate weight of the selected direction edge channel can be obtained, the edge pulling effect can be eliminated, and the edge test accuracy of the touch screen and the user edge scribing effect are ensured.
Description
Technical Field
The present invention relates to the field of electronic technologies, and in particular, to a method, a system, and a computer device for adjusting edge weights.
Background
With the rapid development of electronic products such as smart phones and watches, capacitive touch screens are becoming popular. Capacitive touch screen theory of operation: the sensor in the transparent glass cover plate laid on the liquid crystal can obtain the sensing capacitance, and the density of the laid sensor can form a rangeIs provided for the scan data matrix. Generally, the closer to the touch center, the larger the data, and the outward diffusion with the touch center will form individual touch areasAnd obtaining a touch coordinate point through a gravity center calculation formula by data change before and after touch.
In general touch screen design, channels are uniformly laid, the channel spacing is 1pitch, but the left, right, upper and lower edges are reserved with a spacing of 0.5 pitch. When the origin of the touch screen is set by the intersection of edges, if the channel weight is not changed, the coordinate limit obtained by theoretical operation has a fixed difference compared with the resolution of the corresponding touch screen,n is the number of channels and R is the resolution. In general, during machine test, the copper bar controlled by the mechanical arm falls in the touch area, and the expected edge coordinate point is the center of the copper bar, which is consistent with the theoretical calculation result, so that the influence of the edge pulling effect is not expected in general machine test. However, in the case of a customer application, the fixed difference may prevent the user from clicking on the edge area, so that a drawstring effect must exist. In general, when the edge-pulling effect is achieved, the weight of the most edge data in the coordinate operation is adjusted, taking the coordinate x as an example>Wherein d0 represents the touch screen edge test data (i.e. the test data of the first node of the touch screen), w0 represents the coordinate weight of the column in which the data is located, and w0<w1<…<wn, when w0 is smaller, x is smaller, and w0 directly determines the edge pull limit.
However, when the above coordinate weight w0 is adopted for testing, the edge of the touch screen is poor in testing accuracy due to the edge drawing effect, so that the edge scribing effect of the user cannot be guaranteed.
Disclosure of Invention
The invention aims to provide an edge weight adjusting method, an edge weight adjusting system and computer equipment, which have the advantages of eliminating edge pulling effect, ensuring edge testing accuracy of a touch screen, ensuring edge scribing effect of a user and the like.
To solve the problems in the prior art, in a first aspect, the present invention provides an edge weight adjustment method, where the edge weight adjustment method includes:
based on the resolution and the number of channels in the selected direction of the touch screen, obtaining the coordinate weight of the edge channel in the selected direction;
establishing an index model, and obtaining edge weight adjustment parameters of the edge channels in the selected direction based on the index model;
and obtaining the corrected coordinate weight of the edge channel in the selected direction based on the coordinate weight and the edge weight adjustment parameter.
Optionally, based on the resolution and the number of channels in the selected direction of the touch screen, obtaining the coordinate weight of the edge channel in the selected direction includes: the coordinate weights for the selected directional edge channels are derived based on the following formula:
wherein w0 is the coordinate weight of the edge channel in the selected direction; r is R eso Resolution for the selected direction; m is m i For the channel ordinal number of the selected direction, m is the total number of channels for the selected direction.
Optionally, establishing an exponential model, and obtaining an edge weight adjustment parameter of the edge channel in the selected direction based on the exponential model, including:
touching the edge of the touch screen along the selected direction to obtain the maximum edge weight difference of the selected direction;
touching the edge of the touch screen along the selected direction to obtain an edge adjustment threshold;
acquiring edge statistics data of the selected direction and sub-edge statistics data of the selected direction;
obtaining a secondary edge data gain based on the edge adjustment threshold, the edge statistics, and the secondary edge statistics;
obtaining an exponential scale based on test data of the touch screen along the selected direction and a diagonal-to-edge effect;
acquiring edge test data of the touch screen along the selected direction and secondary edge test data of the touch screen along the selected direction;
the exponential model is derived based on the maximum edge weight difference, the edge adjustment threshold, the secondary edge data gain, the exponential scale, the edge test data for the selected direction, and the secondary edge test data for the selected direction.
Optionally, the formula of the index model is:
wherein dw is an edge weight adjustment parameter of the selected direction edge channel; dWmax is the maximum edge weight difference for the selected direction; d1 is sub-edge test data; th is an edge adjustment threshold; g is the sub-edge data gain; d0 is edge test data; n is an exponential scale;
the sub-edge data gain is obtained based on the following formula:
wherein G is the sub-edge data gain; d0' is edge statistics; d1' is sub-edge statistics; th is the edge adjustment threshold.
Optionally, obtaining the corrected coordinate weight of the edge channel in the selected direction based on the coordinate weight and the edge weight adjustment parameter includes: the corrected coordinate weights are obtained based on the following formula:
wherein w is the corrected coordinate weight; w0 is the coordinate weight; dw is the edge weight adjustment parameter.
In a second aspect, the present invention also provides an edge weight adjustment system, including: the coordinate weight acquisition module is used for acquiring the coordinate weight of the edge channel in the selected direction based on the resolution and the channel number of the touch screen in the selected direction;
the edge weight adjustment parameter acquisition module is used for establishing an index model and obtaining edge weight adjustment parameters of the edge channel in the selected direction based on the index model;
the corrected coordinate weight acquisition module is connected with the coordinate weight acquisition module and the edge weight adjustment parameter acquisition module and is used for obtaining corrected coordinate weights of the edge channels in the selected directions based on the coordinate weights and the edge weight adjustment parameters.
Optionally, the coordinate weight obtaining module obtains the coordinate weight of the edge channel in the selected direction based on the following formula:
wherein w0 is the coordinate weight of the edge channel in the selected direction; reso is the resolution of the selected direction; mi is the channel number in the selected direction, m is the total number of channels in the selected direction; and/or
The edge weight adjustment parameter obtaining module obtains the edge weight adjustment parameter of the edge channel in the selected direction based on the following formula:
wherein dw is an edge weight adjustment parameter of the selected direction edge channel; dWmax is the maximum edge weight difference for the selected direction; d1 is sub-edge test data; th is an edge adjustment threshold; g is the sub-edge data gain; d0 is edge test data; n is an exponential scale.
Optionally, the coordinate weight acquisition model obtains the corrected coordinate weight based on the following formula:
wherein w is the corrected coordinate weight; w0 is the coordinate weight; dw is the edge weight adjustment parameter.
In a third aspect, the present invention also provides a computer device comprising a memory and a processor storing a computer program, which when executed implements the steps of the edge weight adjustment method as described in the first aspect.
As described above, the edge weight adjustment method, the system and the computer equipment have the following beneficial effects:
according to the edge weight adjustment method, the coordinate weight of the selected direction edge channel is corrected through the obtained edge weight adjustment parameter of the selected direction edge channel, so that the corrected coordinate weight of the selected direction edge channel can be obtained, the edge pulling effect can be eliminated, and the edge test accuracy of the touch screen and the user edge scribing effect are ensured.
According to the edge weight adjusting system, the coordinate weight of the edge channel in the selected direction can be corrected by arranging the edge weight adjusting parameter acquiring module and the corrected coordinate weight acquiring module, so that the corrected coordinate weight of the edge channel in the selected direction is obtained, the edge pulling effect can be eliminated, and the edge testing accuracy of the touch screen and the edge scribing effect of a user are ensured.
Drawings
Fig. 1 is a top view of a touch screen with 7 channels tested using a copper bar.
Fig. 2 is a flowchart of an edge weight adjustment method according to a first embodiment of the present invention.
Fig. 3 is a flowchart of step S20 in the edge weight adjustment method according to the first embodiment of the present invention.
Fig. 4 shows the edge weight adjustment method according to the first embodiment of the present invention, wherein the edge test data is 200, the edge adjustment threshold is 20, and the secondary edge data gain is 2, and the secondary edge test data corresponding to different index scales n followsIs a graph of the variation of (a).
Fig. 5 is a block diagram of an edge weight adjustment system according to a second embodiment of the present invention.
Description of the reference numerals: 10. the coordinate weight acquisition module; 20. an edge weight adjustment parameter acquisition module; 30. a corrected coordinate weight acquisition module; 40. a copper bar; 50. a touch screen; 501. a first channel; 502. a second channel; 503. a third channel; 504. a fourth channel; 505. a fifth channel; 506. a sixth channel; 507. and a seventh channel.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The preferred embodiments in the following description are by way of example only and other obvious variations will occur to those skilled in the art. The basic principles of the invention defined in the following description may be applied to other embodiments, variations, modifications, equivalents, and other technical solutions without departing from the spirit and scope of the invention.
It will be appreciated by those skilled in the art that in the present disclosure, the terms "longitudinal," "transverse," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," etc. refer to an orientation or positional relationship based on that shown in the drawings, which is merely for convenience of description and to simplify the description, and do not indicate or imply that the apparatus or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore the above terms should not be construed as limiting the present invention.
With the rapid development of electronic products such as smart phones and watches, capacitive touch screens are becoming popular. Capacitive touch screen theory of operation: by a transparent glass cover laid over the liquid crystalThe sensor in the board obtains the magnitude of the sensing capacitance, and a width can be formed by the density of the laid sensorsIs provided for the scan data matrix. Generally, the closer to the touch center, the larger the data, and the outwards diffused touch center forms a touch area, and the touch coordinate point is obtained by the data change before and after touch through a gravity center calculation formula.
In general touch screen design, channels are uniformly laid, the channel spacing is 1pitch, but the left, right, upper and lower edges are reserved with a spacing of 0.5 pitch. When the origin of the touch screen is set by the intersection of edges, if the channel weight is not changed, the coordinate limit obtained by theoretical operation has a fixed difference compared with the resolution of the corresponding touch screen,n is the number of channels and R is the resolution. In general, during machine test, the copper bar controlled by the mechanical arm falls in the touch area, and the expected edge coordinate point is the center of the copper bar, which is consistent with the theoretical calculation result, so that the influence of the edge pulling effect is not expected in general machine test. However, in the case of a customer application, the fixed difference may prevent the user from clicking on the edge area, so that a drawstring effect must exist. In general, when the edge-pulling effect is achieved, the weight of the most edge data in the coordinate operation is adjusted, taking the coordinate x as an example>Wherein d0 represents the touch screen edge test data (i.e. the test data of the first node of the touch screen), w0 represents the coordinate weight of the column in which the data is located, and w0<w1<…<wn, when w0 is smaller, x is smaller, and w0 directly determines the edge pull limit.
Taking a wristwatch screen as an example of the touch screen 50 as shown in fig. 1, the pixel density is 318ppi, the x-direction resolution is 368, the x-direction dimension is 1.157 inches, namely 29.388mm, then the number of pixels per unit mm is 12.522, and the number of channels laid by the touch screen 50 is assumed to be 7 (including the first channel 501 and the second channel as shown in fig. 1)Lane 502, third lane 503, fourth lane 504, fifth lane 505, sixth lane 506 and seventh lane 507), then 1 pitch= 29.388/7= 4.198mm, the true coordinate weight of the left edge laneTrue coordinate weights for secondary edge channels. Xmin=w0= 26.286 can be obtained without modifying the coordinate weights. According to the customer requirement, the most edge must be smaller than 10 pixels, and xmin=w0=10 is set. The actual machine station selects a copper bar 40 with the diameter of 7mm, the test edge accuracy requires that the expected point falls at the center of the copper bar, namely at the position of 3.5mm, the allowable deviation is 1.2mm, namely the allowable edge touch coordinates are at (28.801, 58.853). Since the circular copper bar 40 is 7mm and 1 pitch= 4.198mm, the copper bar 40 can cover the entire edge (e.g. the first channel 501 in fig. 1) but only a part of the sub-edge (e.g. the second channel 502 in fig. 1) when the edge is touched, and the approximate ratio of the edge data d0 to the data d1 of the sub-edge is 3:1, then in case w0=10, w1= 78.85->X= 27.125, it is clear that x does not meet the test.
Therefore, the problem to be solved is to ensure the edge test accuracy of the machine and the edge scribing effect of the user.
Example 1
Referring to fig. 2, the present invention provides an edge weight adjustment method, which includes:
s10: based on the resolution and the number of channels in the selected direction of the touch screen, obtaining the coordinate weight of the edge channel in the selected direction;
s20: establishing an index model, and obtaining edge weight adjustment parameters of the edge channels in the selected direction based on the index model;
s30: and obtaining the corrected coordinate weight of the edge channel in the selected direction based on the coordinate weight and the edge weight adjustment parameter.
According to the edge weight adjustment method, the coordinate weight of the selected direction edge channel is corrected through the obtained edge weight adjustment parameter of the selected direction edge channel, so that the corrected coordinate weight of the selected direction edge channel can be obtained, the edge pulling effect can be eliminated, and the edge test accuracy of the touch screen and the user edge scribing effect are ensured.
As an example, the selected direction may be the x direction or the y direction.
As an example, in step S10, based on the resolution and the number of channels in the selected direction of the touch screen, obtaining the coordinate weights of the edge channels in the selected direction may include: the coordinate weights for the selected directional edge channels are derived based on the following formula:
wherein w0 is the coordinate weight of the edge channel in the selected direction; r is R eso Resolution for the selected direction; m is m i For the channel ordinal number of the selected direction, m is the total number of channels for the selected direction.
As an example, referring to fig. 3 in conjunction with fig. 2, in step S20, establishing an exponential model, and obtaining an edge weight adjustment parameter of the selected direction edge channel based on the exponential model may include:
s201: touching the edge of the touch screen along the selected direction to obtain the maximum edge weight difference of the selected direction;
s202: touching the edge of the touch screen along the selected direction to obtain an edge adjustment threshold;
s203: acquiring edge statistics data of the selected direction and sub-edge statistics data of the selected direction;
s204: obtaining a secondary edge data gain based on the edge adjustment threshold, the edge statistics, and the secondary edge statistics;
s205: obtaining an exponential scale based on test data of the touch screen along the selected direction and a diagonal-to-edge effect;
s206: acquiring edge test data of the touch screen along the selected direction and secondary edge test data of the touch screen along the selected direction;
s207: the exponential model is derived based on the maximum edge weight difference, the edge adjustment threshold, the secondary edge data gain, the exponential scale, the edge test data for the selected direction, and the secondary edge test data for the selected direction.
As an example, the formula of the exponential model is:
wherein dw is an edge weight adjustment parameter of the selected direction edge channel; dWmax is the maximum edge weight difference for the selected direction; d1 is sub-edge test data; th is an edge adjustment threshold; g is the sub-edge data gain; d0 is edge test data; n is an exponential scale;
the sub-edge data gain is obtained based on the following formula:
wherein G is the sub-edge data gain; d0' is edge statistics; d1' is sub-edge statistics; th is the edge adjustment threshold.
As an example, fig. 4 shows that the edge test data is 200, the edge adjustment threshold is 20, and the secondary edge data gain is 2, and the secondary edge test data corresponding to different exponential scale n followsA graph of the variation of (2); the smaller the value of n, the smoother the curve, and when n is at least 1, the curve is a straight line on the left and right sides. In FIG. 4, a vertical line is formed, and the intersection point of the vertical line and the curve is the +.>This isAnd multiplying the ordinate value corresponding to the intersection point by dWmax to obtain dw.
As an example, in step S30, obtaining the corrected coordinate weight of the edge channel in the selected direction based on the coordinate weight and the edge weight adjustment parameter includes: the corrected coordinate weights are obtained based on the following formula:
wherein w is the corrected coordinate weight; w0 is the coordinate weight; dw is the edge weight adjustment parameter.
Example two
Referring to fig. 5 in conjunction with fig. 1 to 4, the present invention further provides an edge weight adjustment system, which includes:
the coordinate weight acquisition module 10 is used for acquiring the coordinate weight of the edge channel in the selected direction based on the resolution and the channel number of the touch screen in the selected direction by the coordinate weight acquisition module 10;
the edge weight adjustment parameter obtaining module 20 is configured to establish an exponential model, and obtain an edge weight adjustment parameter of the edge channel in the selected direction based on the exponential model;
the corrected coordinate weight obtaining module 30 is connected to the coordinate weight obtaining module 10 and the edge weight adjustment parameter obtaining module 20, and the corrected coordinate weight obtaining module 30 is configured to obtain corrected coordinate weights of the edge channels in the selected direction based on the coordinate weights and the edge weight adjustment parameters.
In the edge weight adjustment system of the present invention, by setting the edge weight adjustment parameter obtaining module 20 and the corrected coordinate weight obtaining module 30, the coordinate weight of the edge channel in the selected direction can be corrected, so as to obtain the corrected coordinate weight of the edge channel in the selected direction, and the edge pulling effect can be eliminated, so that the edge test accuracy of the touch screen and the edge scribing effect of the user can be ensured.
As an example, the coordinate weight obtaining module 10 obtains the coordinate weight of the edge channel in the selected direction based on the following formula:
wherein w0 is the coordinate weight of the edge channel in the selected direction; reso is the resolution of the selected direction; mi is the channel number for the selected direction, and m is the total number of channels for the selected direction.
As an example, the edge weight adjustment parameter obtaining module 20 obtains the edge weight adjustment parameter of the edge channel in the selected direction based on the following formula:
wherein dw is an edge weight adjustment parameter of the selected direction edge channel; dWmax is the maximum edge weight difference for the selected direction; d1 is sub-edge test data; th is an edge adjustment threshold; g is the sub-edge data gain; d0 is edge test data; n is an exponential scale.
As an example, the coordinate weight acquisition model 30 obtains the corrected coordinate weight based on the following formula:
wherein w is the corrected coordinate weight; w0 is the coordinate weight; dw is the edge weight adjustment parameter.
Example III
With continued reference to fig. 1 to 4, the present invention further provides a computer device, where the computer device includes a memory and a processor, and the processor stores a computer program, and when the processor executes the computer program, the steps of the edge weight adjustment method described in the first embodiment are implemented.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present disclosure describes embodiments, not every embodiment is provided with a separate embodiment, and that this description is provided for clarity only, and that the disclosure is not limited to the embodiments described in detail below, and that the embodiments described in the examples may be combined as appropriate to form other embodiments that will be apparent to those skilled in the art.
Claims (9)
1. An edge weight adjustment method, comprising:
based on the resolution and the number of channels in the selected direction of the touch screen, obtaining the coordinate weight of the edge channel in the selected direction;
establishing an index model, and obtaining edge weight adjustment parameters of the edge channels in the selected direction based on the index model;
and obtaining the corrected coordinate weight of the edge channel in the selected direction based on the coordinate weight and the edge weight adjustment parameter.
2. The method of claim 1, wherein obtaining the coordinate weights for the edge channels in the selected direction based on the resolution and the number of channels in the selected direction of the touch screen comprises: the coordinate weights for the selected directional edge channels are derived based on the following formula:
wherein w0 is the coordinate weight of the edge channel in the selected direction; r is R eso Resolution for the selected direction; m is m i For the channel ordinal number of the selected direction, m is the total number of channels for the selected direction.
3. The edge weight adjustment method of claim 1, wherein establishing an exponential model and deriving the edge weight adjustment parameters for the selected directional edge channel based on the exponential model comprises:
touching the edge of the touch screen along the selected direction to obtain the maximum edge weight difference of the selected direction;
touching the edge of the touch screen along the selected direction to obtain an edge adjustment threshold;
acquiring edge statistics data of the selected direction and sub-edge statistics data of the selected direction;
obtaining a secondary edge data gain based on the edge adjustment threshold, the edge statistics, and the secondary edge statistics;
obtaining an exponential scale based on test data of the touch screen along the selected direction and a diagonal-to-edge effect;
acquiring edge test data of the touch screen along the selected direction and secondary edge test data of the touch screen along the selected direction;
the exponential model is derived based on the maximum edge weight difference, the edge adjustment threshold, the secondary edge data gain, the exponential scale, the edge test data for the selected direction, and the secondary edge test data for the selected direction.
4. The edge weight adjustment method of claim 3, wherein the formula of the exponential model is:
wherein dw is an edge weight adjustment parameter of the selected direction edge channel; dWmax is the maximum edge weight difference for the selected direction; d1 is sub-edge test data; th is an edge adjustment threshold; g is the sub-edge data gain; d0 is edge test data; n is an exponential scale;
the sub-edge data gain is obtained based on the following formula:
wherein G is the sub-edge data gain; d0' is edge statistics; d1' is sub-edge statistics; th is the edge adjustment threshold.
5. The edge weight adjustment method according to any one of claims 1 to 4, wherein obtaining the corrected coordinate weight of the selected-direction edge channel based on the coordinate weight and the edge weight adjustment parameter comprises: the corrected coordinate weights are obtained based on the following formula:
wherein w is the corrected coordinate weight; w0 is the coordinate weight; dw is the edge weight adjustment parameter.
6. An edge weight adjustment system, comprising:
the coordinate weight acquisition module is used for acquiring the coordinate weight of the edge channel in the selected direction based on the resolution and the channel number of the touch screen in the selected direction;
the edge weight adjustment parameter acquisition module is used for establishing an index model and obtaining edge weight adjustment parameters of the edge channel in the selected direction based on the index model;
the corrected coordinate weight acquisition module is connected with the coordinate weight acquisition module and the edge weight adjustment parameter acquisition module and is used for obtaining corrected coordinate weights of the edge channels in the selected directions based on the coordinate weights and the edge weight adjustment parameters.
7. The edge weight adjustment system of claim 6, wherein the coordinate weight acquisition module obtains the coordinate weight of the selected directional edge channel based on the following formula:
wherein w0 is the coordinate weight of the edge channel in the selected direction; reso is the resolution of the selected direction; m is m i For the channel ordinal number of the selected direction, m is the total number of channels of the selected direction; and/or
The edge weight adjustment parameter obtaining module obtains the edge weight adjustment parameter of the edge channel in the selected direction based on the following formula:
；
wherein dw is an edge weight adjustment parameter of the selected direction edge channel; dWmax is the maximum edge weight difference for the selected direction; d1 is sub-edge test data; th is an edge adjustment threshold; g is the sub-edge data gain; d0 is edge test data; n is an exponential scale.
8. The edge weight adjustment system of claim 6, wherein the coordinate weight acquisition model derives the revised coordinate weight based on the following formula:
w=w0+dw
wherein w is the corrected coordinate weight; w0 is the coordinate weight; dw is the edge weight adjustment parameter.
9. A computer device comprising a memory and a processor, the processor storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the edge weight adjustment method according to any one of claims 1 to 5.
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