A touch color film sensitivity parameter adaptive optimization method and system
By performing two-level virtual reconstruction of the touch color film through functional partitioning and generating virtual touch circuits, the response problem of the touch color film under complex environments and differences in user operation is solved, achieving sensitivity adaptation and accurate response, thus improving the user experience.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ZHEJIANG RAILEN ELECTRIC TECH CO LTD
- Filing Date
- 2025-07-14
- Publication Date
- 2026-06-23
Smart Images
Figure CN120848753B_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of touch display technology, specifically to a method and system for adaptive optimization of the sensitivity parameters of a touch color film. Background Technology
[0002] Touchscreens, as core components for human-computer interaction, are indispensable key components of modern smart devices (smartphones, tablets, smart vehicle central control screens). However, with increasingly complex application scenarios, higher demands are placed on the precise control and adaptive optimization of touchscreen sensitivity parameters. Traditional touchscreen sensitivity settings use a segmented adjustment mode, which is difficult to meet diverse usage needs. Environmental factors in actual applications (such as temperature, humidity, and electromagnetic interference) affect the sensitivity of touchscreens, and differences in user operating habits (different pressure, touch speed, and touch methods) also lead to inconsistent touch experiences under the same sensitivity settings. At the same time, existing touch integrated circuits lack effective virtual reconstruction and precise management of touch circuits, making it difficult to quickly and accurately distinguish between normal touch operations and accidental touches, affecting the performance of touchscreens in complex environments and diverse usage scenarios, and thus impacting the user's touch interaction experience.
[0003] Therefore, current technologies suffer from technical problems such as the inability of touch screen sensitivity parameters to adapt to complex environments and differences in user operation, difficulty in accurately distinguishing between normal touch and accidental touch, and the inability of different functional zones to achieve differentiated and accurate responses. Summary of the Invention
[0004] This application provides a method and system for adaptive optimization of the sensitivity parameters of a touch screen, which solves the technical problems existing in the prior art, such as the inability of the sensitivity parameters of the touch screen to adapt to complex environments and differences in user operation, the difficulty in accurately distinguishing between normal touch and accidental touch behavior, and the inability of different functional zones to achieve differentiated and accurate responses. It achieves the technical effects of improving the adaptive capability of touch sensitivity, response efficiency and accuracy, and reducing the accidental touch rate.
[0005] This application provides an adaptive optimization method for the sensitivity parameters of a touch-sensitive color filter. The method includes: performing a two-level virtual reconstruction of a touch integrated circuit based on the functional partitions of the touch-sensitive color filter to generate a virtual touch circuit, wherein the virtual touch circuit communicates and interacts with the touch integrated circuit and the touch capacitive structure; receiving and interpreting touch operations from the touch capacitive structure to determine touch charge information, assisting a virtual controller to perform color filter mis-touch judgment and hierarchical response decision based on the virtual touch circuit, and determining touch response information, wherein the touch response includes first-order color filter display and second-order functional response; and driving the touch integrated circuit according to the touch response information to perform response management of the touch-sensitive color filter.
[0006] In a possible implementation, the adaptive optimization method for the sensitivity parameters of a touch color filter further performs the following processing: dividing the touch integrated circuit into sub-level circuits and reconstructing nodes according to the color filter display partitions to determine a first reconstruction layer, wherein each sub-level circuit corresponds to a reconstruction node; reconstructing the driving points of the sub-level circuits according to the function control guidance to determine a second reconstruction layer; cascading the first reconstruction layer and the second reconstruction layer to determine the virtual touch circuit.
[0007] In a possible implementation, the adaptive optimization method for the sensitivity parameters of a touch-sensitive color film further performs the following processing: for the first reconstruction layer, a discrimination branch is trained based on the coexistence of touch features within the node; a response branch is determined by cascading training with the partitioned color film display based on node matching of the first reconstruction layer and the functional response based on the second reconstruction layer, wherein the response branch is selectively triggered; the discrimination branch and the response branch are cascaded as a virtual controller, wherein the virtual controller has the virtual touch circuit built in.
[0008] In a possible implementation, the adaptive optimization method for the sensitivity parameters of a touch-sensitive color filter further performs the following processing: if color filter touch exists, acquire charge transfer amount and charge loss recovery information; determine touch features based on the charge transfer amount; calculate touch position based on the charge loss recovery information; and determine touch charge information based on the touch features and the touch position.
[0009] In a possible implementation, the adaptive optimization method for the sensitivity parameters of the touch color film further performs the following processing: the charge transfer amount is consistent with the overall charge replenishment amount, wherein the overall charge replenishment amount is provided by a charge replenishment source, and there are multiple charge replenishment sources; based on the positive correlation between the charge replenishment amount of each charge replenishment source and the distance of the charge replenishment source, the touch position is calculated using the overall charge replenishment amount and the position of the charge replenishment source.
[0010] In a possible implementation, the adaptive optimization method for the sensitivity parameters of a touch-sensitive color film further performs the following processing: triggering the discrimination branch in the virtual controller, performing node positioning based on the touch position, performing coexistence determination based on the touch features, and determining the determination result; if the determination result is a false touch, terminating the decision and having no response.
[0011] In a possible implementation, the adaptive optimization method for the sensitivity parameters of a touch-sensitive color film further performs the following processing: if the determination result is a valid touch screen, the response branch is triggered, and first color film display information is generated based on the node positioning of the first reconstruction layer, wherein the first color film display information is a local or global color film functional area display; based on the node mapping of the first reconstruction layer and the second reconstruction layer, the touch feature is driven by point positioning to determine second functional response information; the first color film display information and the second functional response information are used as the touch response information.
[0012] In a possible implementation, the adaptive optimization method for the sensitivity parameters of a touch-sensitive color film further includes the following processing: establishing a mapping association between the virtual touch circuit and the touch integrated circuit; mapping and locating the touch response information according to the mapping association, and driving the touch integrated circuit to execute the touch response.
[0013] In a possible implementation, the adaptive optimization method for the sensitivity parameters of a touch-sensitive color film further includes the following steps: establishing a temporary database that stores touch records and updates them based on a preset period; performing statistical analysis on the temporary database according to the preset period to trace abnormal features based on touch sensitivity and accuracy; and performing incremental learning on the virtual controller based on the abnormal features.
[0014] This application also provides an adaptive optimization system for the sensitivity parameters of a touch-sensitive color filter. The system includes: a virtual touch circuit generation module, used to perform two-level virtual reconstruction of the touch integrated circuit according to the functional partitions of the touch-sensitive color filter to generate a virtual touch circuit, wherein the virtual touch circuit communicates and interacts with the touch integrated circuit and the touch capacitor structure; a touch response information determination module, used to receive and interpret the touch operation of the touch capacitor structure, determine the touch charge information, assist the virtual controller in performing color filter mis-touch judgment and hierarchical response decision based on the virtual touch circuit, and determine the touch response information, wherein the touch response includes first-order color filter display and second-order functional response; and a touch-sensitive color filter response management module, used to drive the touch integrated circuit according to the touch response information and perform response management of the touch-sensitive color filter.
[0015] This application proposes an adaptive optimization method and system for the sensitivity parameters of a touch-sensitive color filter. Based on the functional partitions of the touch-sensitive color filter, a two-stage virtual reconstruction of the touch integrated circuit is performed to generate a virtual touch circuit. Touch operations from the touch capacitive structure are received and interpreted to determine touch charge information. This assists the virtual controller in executing color filter mis-touch judgment and hierarchical response decisions based on the virtual touch circuit, determining touch response information. Based on the touch response information, the touch integrated circuit is driven to respond, and the response management of the touch-sensitive color filter is performed. This solves the technical problems in existing technologies, such as the inability of touch-sensitive color filter sensitivity parameters to adapt to complex environments and user operation differences, the difficulty in accurately distinguishing between normal touch and mis-touch behavior, and the inability to achieve differentiated and accurate responses across different functional partitions. It achieves the technical effects of improving touch sensitivity adaptability, response efficiency and accuracy, and reducing the mis-touch rate. Attached Figure Description
[0016] To more clearly illustrate the technical solutions of the embodiments of this disclosure, the accompanying drawings of the embodiments of this disclosure will be briefly described below. Flowcharts are used in this application to illustrate the operations performed by the system according to the embodiments of this application. It should be understood that the preceding or following operations are not necessarily performed precisely in sequence. Instead, various steps can be processed in reverse order or simultaneously as needed. Furthermore, other operations can be added to these processes, or one or more steps can be removed from these processes.
[0017] Figure 1 This is a schematic flowchart of a method for adaptive optimization of sensitivity parameters of a touch color film provided in an embodiment of this application.
[0018] Figure 2 This is a schematic diagram of a system structure for adaptive optimization of sensitivity parameters of a touch-sensitive color film, provided in an embodiment of this application.
[0019] Explanation of reference numerals in the attached diagram: Virtual touch circuit generation module 10, touch response information determination module 20, and touch color film response management module 30. Detailed Implementation
[0020] The above description is merely an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, specific embodiments of this application are given below.
[0021] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description of this application will be provided in conjunction with the accompanying drawings. The described embodiments should not be considered as limitations on this application. All other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0022] In the following description, references to "some embodiments" describe a subset of all possible embodiments. However, it is understood that "some embodiments" can be the same or different subsets of all possible embodiments and can be combined with each other without conflict. The terms "first" and "second" are used merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules not explicitly listed or inherent to these processes, methods, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application only.
[0023] This application provides an adaptive optimization method for the sensitivity parameters of a touch color filter, such as... Figure 1 As shown, the method includes:
[0024] Step S100: Based on the functional partitioning of the touch color film, perform two-level virtual reconstruction of the touch integrated circuit to generate a virtual touch circuit, wherein the virtual touch circuit communicates and interacts with the touch integrated circuit and the touch capacitor structure.
[0025] Preferably, the touch-sensitive color film is logically divided according to the functional attributes of different areas of the screen to obtain functional zones of the touch-sensitive color film. These mainly include: a main display area, responsible for image display and basic touch input (such as the home screen and application interface); a virtual button area, responsible for displaying virtual buttons, such as the back button and menu button; a function control area, responsible for triggering specific functions (such as volume adjustment and quick switches); an edge safety area, the screen edge area, which needs to filter accidental touches (such as edge touches when holding a handheld device); and a high-precision operation area, the area requiring fine control (such as the canvas area of drawing applications). The touch integrated circuit is the core component of the touch system, responsible for the acquisition, processing, and transmission of touch signals. It typically includes a signal acquisition module, used to obtain the raw touch signal from the touch capacitive structure; a signal processing module, which filters, amplifies, and digitizes the acquired signal; a control module, which generates corresponding control commands based on the processed signal, such as touch position and gesture type; and a communication module for data communication with external devices (such as processors).
[0026] Preferably, the touch integrated circuit is then reconstructed in two stages based on the functional partitions of the touch color film. Specifically, the first stage involves reconstructing the touch integrated circuit by abstracting the electrical characteristics of the physical touch integrated circuit (such as the ITO touch layer and driver IC) into virtual nodes and connections, and establishing an independent equivalent circuit for each functional partition, thus generating a preliminary virtual touch circuit. This virtual circuit includes capacitance values, parasitic effects, and signal transmission characteristics. The virtual touch circuit serves as a logic model to simulate the behavior of the touch integrated circuit in different functional partitions. The second stage involves dynamically adjusting the touch integrated circuit based on actual touch operations and environmental conditions, designing touch response logic for different functional areas, and generating the final virtual touch circuit. This final virtual circuit better adapts to current touch operations and environmental conditions, improving response speed and accuracy. For example, the main interaction area emphasizes response speed, the edge area strengthens anti-mistouch filtering, and dedicated signal processing flows are configured for specific functional requirements. For instance, a pressure value interpretation module is added to the pressure touch area, and a trajectory prediction mechanism is integrated into the gesture recognition area, thereby establishing a multi-level response decision control.
[0027] Preferably, the touch capacitive structure is the part of the touch color film used to detect touch operations. It consists of multiple capacitive sensors distributed in different areas of the touch color film. When the user performs a touch operation, the capacitive sensors generate corresponding signals. The virtual touch circuit acquires the touch signal through communication with the touch capacitive structure and generates corresponding control commands based on the touch signal. The touch integrated circuit is the actual hardware circuit responsible for processing the touch signal and executing corresponding operations. The virtual touch circuit transmits the generated control commands to the touch integrated circuit through communication with the touch integrated circuit, and the touch integrated circuit then executes the corresponding operations based on these commands.
[0028] Preferably, after the touch capacitive structure detects a touch operation, it sends the generated signal to the touch integrated circuit. The touch integrated circuit performs preliminary processing on the collected signal and then sends the processed signal to the virtual touch circuit. The virtual touch circuit generates the final control command based on the received signal, combined with the current functional partition and dynamic adjustment parameters, and then sends the generated control command back to the touch integrated circuit. The touch integrated circuit executes the corresponding operation according to the command, such as updating the displayed content and triggering function responses, thereby improving the response speed and accuracy of the touch film and providing a more personalized user experience.
[0029] Furthermore, step S100 also includes step S110, which involves dividing the touch integrated circuit into sub-level circuits and reconstructing nodes according to the color filter display partition to determine the first reconstruction layer, wherein each sub-level circuit corresponds to a reconstruction node; step S120, which involves reconstructing the driving points of the sub-level circuits according to the function control guidance to determine the second reconstruction layer; and step S130, which involves cascading the first reconstruction layer and the second reconstruction layer to determine the virtual touch circuit.
[0030] Preferably, based on the color filter display partitions, the touch integrated circuit is divided into multiple sub-level circuits. Each sub-level circuit is responsible for processing the touch signals of its corresponding display partition. For example, the main display area sub-level circuit is responsible for processing the touch signals of the main display area, the virtual button area sub-level circuit is responsible for processing the touch signals of the virtual button area, the status bar area sub-level circuit is responsible for processing the touch signals of the status bar area, and the edge interaction area sub-level circuit is responsible for processing the touch signals of the edge interaction area. Then, each sub-level circuit is reconstructed to determine the reconstruction node of each sub-level circuit, which is used to connect different functional modules. For example, the reconstruction node of the main display area sub-level circuit connects the display driving module and the touch signal processing module, the reconstruction node of the virtual button area sub-level circuit connects the button recognition module and the function triggering module, the reconstruction node of the status bar area sub-level circuit connects the status information display module and the touch signal processing module, and the reconstruction node of the edge interaction area sub-level circuit connects the edge sliding detection module and the interaction response module, thus determining the first reconstruction layer.
[0031] Preferably, based on functional control requirements, the driving points of each sub-level circuit are reconstructed. Driving points are key points in the sub-level circuit used to drive touch response. Then, the driving points of each sub-level circuit are reconstructed to determine their position and function. For example, the driving point reconstruction of the main display area sub-level circuit adjusts the position and driving signal strength based on the update requirements of the displayed content; the driving point reconstruction of the virtual button area sub-level circuit adjusts the position and function triggering conditions based on the functional requirements of the virtual buttons; the driving point reconstruction of the status bar area sub-level circuit adjusts the position and display update frequency based on the display requirements of status information; and the driving point reconstruction of the edge interaction area sub-level circuit adjusts the position and sliding detection sensitivity based on the interaction requirements of edge sliding. This leads to the determination of the second reconstruction layer. The driving points of each sub-level circuit are the core of touch response, determining the specific behavior of touch operations.
[0032] Preferably, the first and second reconstruction layers are cascaded, that is, the nodes and driving points of the two reconstruction layers are connected to ensure that the signal can be transmitted from the first reconstruction layer to the second reconstruction layer and finally drive the touch response, forming a complete virtual touch circuit. This circuit is used to simulate the behavior of the touch integrated circuit under different display partitions and functional control requirements, thereby improving the flexibility and response speed of the touch response.
[0033] Furthermore, step S100 also includes step S140, training a discrimination branch for the first reconstruction layer based on the coexistence of touch features within nodes; step S150, performing cascade training to determine a response branch based on the partitioned color filter display under node matching of the first reconstruction layer and the functional response based on the second reconstruction layer, wherein the response branch is selectively triggered; step S160, cascading the discrimination branch and the response branch as a virtual controller, wherein the virtual controller has the virtual touch circuit built in.
[0034] Preferably, the first reconstruction layer is the result of sub-level circuit partitioning and node reconstruction of the touch integrated circuit based on the color filter display partition. Each node contains touch features of a specific display partition, including touch position (the specific touch position of the user within the display partition), touch force (the strength of the user's touch), touch trajectory (the movement trajectory of the user's touch), and touch duration (the duration of the user's touch). The coexistence of touch features within a node is used to train a discrimination branch to identify and distinguish different types of touch operations. Specifically, a large amount of touch operation data is collected, including information such as the touch position, force, trajectory, and duration of different users in different display partitions. Key touch features are extracted from the collected data to effectively distinguish different types of touch operations. Machine learning algorithms (such as support vector machines, neural networks, etc.) are used to train the extracted features to construct a discrimination model, i.e., a discrimination branch, to distinguish different operations such as light touch, heavy press, and swipe. Furthermore, by training the discrimination branch, different types of touch operations can be identified.
[0035] Preferably, based on node matching in the first reconstruction layer, the system identifies user touch operations in different display zones and updates the displayed content accordingly. For example, a user touch operation in the main display zone might trigger page scrolling, while a touch operation in the virtual button area might trigger returning to the previous menu. Based on driver point reconstruction in the second reconstruction layer, the system triggers corresponding functional responses according to functional control requirements. For example, a user touch operation in the virtual button area might trigger the function of the virtual buttons, such as opening an application or returning to the desktop. Then, the zoned color display and functional responses are combined for cascaded training to determine response branches. Specifically, a dataset containing zoned color display and functional responses is prepared, reflecting user touch operations in different display zones and their corresponding functional responses. A cascaded neural network (CNN) in deep learning is used to process the image data and functional response data, learning the mapping relationship between zoned color display and functional responses, and constructing a cascaded model. For example, the model can identify the user's swipe operation in the main display zone and trigger the page scrolling functional response, thereby determining the response branch to trigger the corresponding functional response. The response branch can selectively trigger the virtual button functional response or the page scrolling functional response.
[0036] Preferably, the discrimination branch and the response branch are cascaded to form a complete virtual controller, achieving intelligent touch response. Specifically, the virtual controller is a logic model with built-in virtual touch circuitry, capable of intelligently recognizing and responding to user touch operations. The virtual touch circuitry simulates the behavior of a touch integrated circuit, generating corresponding control commands based on the user's touch actions. By cascading the discrimination and response branches, the virtual controller can intelligently identify user touch operations and selectively trigger corresponding functional responses. For example, when the user performs a swipe operation on the main display area, the virtual controller can recognize this operation and trigger the page scrolling function; when the user performs a touch operation on the virtual button area, the virtual controller can recognize this operation and trigger the virtual button function. This improves the flexibility and response speed of the touch system and provides a better user experience.
[0037] Step S200: Receive and decode the touch operation of the touch capacitive structure, determine the touch charge information, assist the virtual controller in performing color filter mis-touch judgment and layer response decision based on the virtual touch circuit, and determine the touch response information, wherein the touch response includes first-order color filter display and second-order functional response.
[0038] Step S200 further includes step S210, if color filter touch exists, acquiring charge transfer amount and charge loss recovery information; step S220, determining touch features based on the charge transfer amount; step S230, calculating touch position based on the charge loss recovery information; and step S240, determining touch charge information based on the touch features and the touch position.
[0039] Preferably, the touch operation of the touch capacitive structure is received and interpreted. If a user's finger or other conductive object touches the touch color film, charge transfer will occur. The amount of charge transfer refers to the amount of charge transferred from the touch capacitive structure to the touch object (such as a finger) during the touch process. For example, the change in charge can be detected by a capacitive sensor in the touch color film. When a finger touches the screen, the capacitive sensor records the amount of charge change, i.e., the amount of charge transfer. Alternatively, a high-precision current sensor can be used to detect the current flowing through the touch capacitive structure and indirectly calculate the amount of charge transfer. The amount of charge transferred during the touch process is the amount of charge loss. Charge loss recovery information refers to replenishing the lost charge from the four corners of the touch color film during the touch process to ensure the accuracy and stability of the touch signal.
[0040] Preferably, touch characteristics are determined based on charge transfer amount, including touch duration, touch pattern, and touch mode. Touch duration refers to the length of time a user's finger or other conductive object contacts the touch screen, calculated as the ratio of charge transfer amount to charge transfer rate. Touch pattern refers to the pattern and regularity of user touch operations, such as swiping, clicking, and long-pressing. By analyzing the change curve of charge transfer amount, different touch patterns are identified. During swiping, the charge transfer amount changes continuously with the movement of the finger, forming a continuous signal curve; during clicking, the charge transfer amount increases rapidly and then decreases rapidly, forming a spike signal; during long-pressing, the charge transfer amount increases continuously until the user's finger leaves the screen. Touch mode refers to the specific way the user touches, such as single-finger touch and multi-finger touch. By analyzing the distribution and changes of charge transfer amount, different touch modes can be identified. For example, during single-finger touch, the charge transfer amount is mainly concentrated near the touch point; during multi-finger touch, the charge transfer amount is distributed across multiple touch points, forming multiple signal peaks.
[0041] Preferably, the touch position refers to the specific location where the user's finger or other conductive object contacts the touch-sensitive color film. This is calculated using charge loss recovery information. Specifically, a charge distribution model is established to describe the distribution of charge within the touch capacitive structure. By using charge loss recovery information, the model parameters are adjusted to more accurately reflect the actual charge distribution. Then, position calculation algorithms, such as weighted average or least squares methods, are used to calculate the touch position based on the charge distribution model. Finally, by comprehensively analyzing touch features and touch position—that is, fusing touch duration, touch patterns, touch methods, and touch locations—complete touch charge information is generated. This enables high-precision touch recognition and response of the touch-sensitive color film, improving its sensitivity and accuracy.
[0042] Preferably, the auxiliary virtual controller performs color filter mis-touch determination based on the virtual touch circuit. That is, by analyzing the touch charge information, it determines whether the current touch operation is a mis-touch. If the touch duration is too short, it may be a mis-touch; if the touch pattern does not conform to the common operation mode, it may be a mis-touch; if the touch position is in a non-operation area, it may be a mis-touch; if the charge transfer amount is too small, it may be a mis-touch. For example, if the touch duration is less than a certain threshold (such as 50 milliseconds) and the charge transfer amount is less than a certain threshold (such as 10 picocoulombs), the virtual controller determines it as a mis-touch operation. The virtual controller then performs hierarchical response decisions based on the virtual touch circuitry. This means that the level and content of the touch response are determined according to the touch charge information. The hierarchical response decisions include first-order color filter display (updating the displayed content based on the touch operation, such as scrolling the page, zooming in on the image, etc.) and second-order function response (triggering a specific function response based on the touch operation, such as opening an application, returning to the previous menu, etc.). For example, if the user performs a swipe operation on the main display area, the virtual controller can decide to trigger a first-order color filter display response to update the page content; if the user performs a click operation on the virtual button area, the virtual controller can decide to trigger a second-order function response to return to the previous menu.
[0043] Preferably, the final touch response information is determined based on the response instructions generated by the touch operation, including first-order color film display and second-order functional response. First-order color film display refers to updating the displayed content of the touch film based on the touch operation; for example, a swipe operation triggers page scrolling or image zooming, and a click operation triggers button click effects or menu expansion. Second-order functional response refers to triggering specific functional responses based on the touch operation; for example, clicking a virtual button area returns to the previous menu or opens an application; an edge swipe triggers an edge swipe to return to the desktop or switch applications. Based on the hierarchical response decision, the virtual controller generates specific response instructions and transmits them to the touch integrated circuit. The touch integrated circuit executes corresponding operations based on these instructions, such as updating the displayed content or triggering functional responses. This achieves high-precision touch recognition and intelligent response of the touch film, thereby improving the accuracy of the touch film's response sensitivity.
[0044] Furthermore, step S230 also includes step S231, where the charge transfer amount is consistent with the assembly charge replenishment amount, wherein the assembly charge replenishment amount is provided by a charge replenishment source, and there are multiple charge replenishment sources; step S232, where the touch position is calculated based on the positive correlation between the charge replenishment amount of each charge replenishment source and the distance between the charge replenishment sources and the assembly charge replenishment amount and the position of the charge replenishment sources.
[0045] Preferably, the total charge replenishment amount refers to the total amount of charge provided by the system to compensate for charge loss during touch operation. It is provided by multiple charge replenishment sources, which are charge compensation modules in the system, used to compensate for charge loss in real time and ensure the stability and accuracy of touch signals. The charge transfer amount is consistent with the total charge replenishment amount, indicating that the charge replenishment amount provided by the system can completely compensate for the charge loss generated during touch operation. In the touch-sensitive color film, charge replenishment sources are distributed in different locations. For example, edge charge replenishment sources are located at the edges of the touch-sensitive color film to compensate for charge loss in the edge region; central charge replenishment sources are located at the center of the touch-sensitive color film to compensate for charge loss in the central region; distributed charge replenishment sources are distributed in different areas of the touch-sensitive color film to compensate for charge loss in each area. Furthermore, the amount of charge replenishment from each source is positively correlated with its distance from the source; that is, the closer the source is to the touch point, the greater the amount of charge replenishment it provides. Finally, the touch position is calculated using the total charge replenishment and the positions of the charge replenishment sources. Specifically, the positions of multiple charge replenishment sources on the touch-sensitive color film are determined, the total charge replenishment provided by the system is measured, and a charge replenishment model is established based on the relationship between charge replenishment and distance. Assuming the position of the touch point is (x, y), the amount of charge replenishment provided by each charge replenishment source can be expressed as:
[0046]
[0047] Among them, Q 补充,i It is the amount of charge replenishment provided by the i-th charge replenishment source, (x i y i The position of the i-th charge replenishment source is given by Q. The total charge replenishment amount is then substituted into the equation to calculate the touch point position. 总 With charge supplementation model, establish a system of equations:
[0048]
[0049] Solve the system of equations to obtain the position (x, y) of the touch point.
[0050] Furthermore, step S200 also includes step S250, triggering the discrimination branch in the virtual controller to perform node positioning based on the touch position, performing coexistence determination based on the touch features, and determining the determination result; step S260, if the determination result is a false touch, the decision is terminated and there is no response.
[0051] Preferably, when a new touch operation is received, the discrimination branch in the virtual controller is triggered to start analyzing the touch operation, determine whether the current touch operation is a mis-touch, and then perform node positioning based on the touch position. That is, in the virtual touch circuit, the corresponding node is determined according to the touch position. Each node corresponds to a specific display partition or functional area. For example, the main display area node corresponds to the touch operation of the main display area, the virtual button area node corresponds to the touch operation of the virtual button area, and the status bar area node corresponds to the touch operation of the status bar area. Thus, the touch operation is mapped to a specific node in the virtual touch circuit.
[0052] Preferably, the system then performs a touch feature coexistence determination. This involves analyzing touch features to determine whether the current touch operation conforms to a normal touch pattern. Specifically, key touch features, such as touch duration, touch pattern, and touch method, are extracted from touch charge information. These extracted features are then matched with a preset normal touch pattern, which is trained using extensive user data and reflects common touch operations. Finally, based on the matching results, it is determined whether the current touch operation is a mis-touch. If the touch features do not match the normal touch pattern, the result is considered a mis-touch. In other words, if the discrimination branch determines the current touch operation is a mis-touch, the virtual controller will terminate further decision-making and will not respond to the mis-touch operation in any way, including not triggering any functional responses or display updates. For example, if the mis-touch occurs in the main display area, it will not trigger page scrolling or image zooming / scaling; if the mis-touch occurs in the virtual button area, it will not trigger returning to the previous menu or opening applications. By terminating the decision and not responding, the impact of mis-touches on the user experience can be effectively reduced.
[0053] Preferably, step S250 further includes step S251, if the determination result is a valid touch screen, triggering the response branch, generating first color filter display information based on the node positioning of the first reconstruction layer, wherein the first color filter display information is a local or global color filter functional area display; step S252, based on the node mapping of the first reconstruction layer and the second reconstruction layer, performing driving point positioning on the touch feature to determine the second functional response information; step S253, using the first color filter display information and the second functional response information as the touch response information.
[0054] Preferably, when the discrimination branch determines that the touch operation is a valid touch, the response branch is triggered to start generating touch response information. This includes generating first color film display information based on the node positioning of the first reconstruction layer. That is, based on the touch position, the node where the touch operation is located is determined, and based on the touch characteristics (such as touch duration, touch pattern, etc.), corresponding display instructions are generated. The generated display instructions are then sent to the display module to update the corresponding display content. The first color film display information can be a partial display update or a global display update. A partial display update refers to updating only the content of the display area where the touch operation is located. For example, when the user slides the page in the main display area, only the content of the main display area is updated. A global display update refers to updating the display content of the entire touch color film. For example, when the user performs a global gesture operation, such as sliding from the edge of the screen back to the desktop, the content of the entire screen needs to be updated.
[0055] Preferably, based on the node mapping between the first and second reconstruction layers, the touch features are driven by point localization. Specifically, the exact location triggering the functional response is determined based on the touch features. This involves extracting key touch features from the touch charge information, such as touch position, touch duration, and touch pattern. According to the node mapping relationship between the first and second reconstruction layers, the touch features are mapped to the driving points of the second reconstruction layer. For example, if the user clicks on a virtual button area, it is mapped to the driving point of the virtual button area. Then, based on the function response command generated by the touch operation, and according to the driving point localization, second function response information is generated, i.e., the triggered function response is determined, a specific function response command is generated, and sent to the corresponding functional module for execution. Finally, the first color filter display information and the second function response information are combined to generate complete touch response information. The touch integrated circuit performs corresponding operations based on the touch response information, such as updating the display content or triggering the function response, ensuring the corresponding sensitivity and accuracy.
[0056] Step S300: Drive the touch integrated circuit according to the touch response information and perform response management of the touch color film.
[0057] Preferably, the touch integrated circuit executes specific touch response operations based on the touch response information, including updating display content and triggering function responses. Specifically, the touch integrated circuit receives touch response information sent from the virtual controller, parses the touch response information, and extracts specific instructions for display updates and function responses. For example, it parses out the need to update the page scrolling content in the main display area or trigger the return-to-previous-level menu function in the virtual button area. Then, based on the color film display information, the touch integrated circuit updates the display content of the touch color film, including partial display updates, updating only the content of the display area where the touch operation occurs (e.g., when the user slides the page in the main display area, only the content of the main display area is updated); and global display updates, updating the display content of the entire touch color film. The touch integrated circuit generates specific display update instructions and sends them to the display module. Based on the function response information, the touch integrated circuit triggers corresponding function responses, including determining the type of function response to be triggered based on the function response information, generating specific function response instructions, and sending them to the corresponding function modules. The function modules then execute the corresponding response actions based on the received instructions.
[0058] Preferably, response management refers to managing and coordinating the entire response process of touch operations to ensure that touch operations can be responded to quickly and accurately. Specifically, different response priorities are assigned according to the nature and importance of the touch operation. For example, click operations on the virtual button area may have a higher priority and need to be processed first. System resources are allocated reasonably according to the needs of the touch operation. For example, more computing resources may be needed to process complex touch operations. Errors in the response process are detected and corresponding measures are taken to handle them. By optimizing the response process, the user experience is improved. For example, response latency is reduced to ensure that touch operations can be responded to quickly, and display effects are optimized to ensure that the update of displayed content is smooth and natural.
[0059] Furthermore, step S300 also includes step S301, in which the virtual touch circuit and the touch integrated circuit establish a mapping association; and step S302, in which the touch response information is mapped and located according to the mapping association, and the touch integrated circuit is driven to perform touch response.
[0060] Preferably, the mapping association between the virtual touch circuit and the touch integrated circuit enables the virtual touch circuit to control the actual hardware behavior through a logic model. For example, the virtual electrodes in the virtual touch circuit correspond to the physical electrodes in the actual touch integrated circuit, and the virtual signal processing module in the virtual touch circuit corresponds to the signal processing unit in the actual touch integrated circuit. Then, according to the mapping association, the specific instructions in the touch response information are located to the corresponding hardware nodes in the actual touch integrated circuit. Specifically, specific display update and function response instructions are extracted from the touch response information, and according to the mapping association, the instructions in the touch response information are mapped to the specific hardware nodes in the actual touch integrated circuit. For example, if the touch response information indicates updating the content of the main display area, it is mapped to the hardware node corresponding to the main display area. Based on the mapping location result, specific drive signals are generated and the touch integrated circuit is driven to execute the touch response, including the touch integrated circuit controlling the display module to perform corresponding display updates and the touch integrated circuit triggering the execution of function responses, which helps the virtual controller to perform further management and optimization.
[0061] Furthermore, step S300 also includes step S310, establishing a temporary database, which stores touch records and is updated based on a preset period; step S320, performing statistical analysis on the temporary database according to the preset period to trace abnormal features based on touch sensitivity and accuracy; and step S330, performing incremental learning on the virtual controller based on the abnormal features.
[0062] Preferably, a temporary database is established to record the user's operation behavior on the touch screen, including touch position, touch duration, touch pattern, touch method, touch charge information, response information, etc. The temporary database is updated according to a preset time period, for example, every 5 minutes or every 10 minutes. The updated content includes new touch records and the reorganization of old records to ensure that the data in the database reflects the user's current touch behavior.
[0063] Preferably, the touch records in the temporary database are analyzed using statistical methods to identify touch operation patterns and characteristics. This includes calculating statistical indicators such as average, standard deviation, and correlation, as well as performing hypothesis testing and regression analysis. Specifically, touch records are collected from the temporary database, including touch position, touch duration, and touch patterns. Features related to touch sensitivity and accuracy, such as the accuracy of touch position and the stability of touch duration, are extracted. Then, abnormal features are detected using statistical methods. For example, the standard deviation of touch position is calculated; if the standard deviation is too large, it indicates a problem with the accuracy of touch position. The average and standard deviation of touch duration are calculated; if the average is too short and the standard deviation is too large, it indicates false touches. Finally, the detected abnormal features are analyzed to determine the root cause of the anomaly. For example, by analyzing touch charge information, it can be determined whether the anomaly is caused by insufficient charge transfer or unstable charge replenishment.
[0064] Preferably, incremental learning of the virtual controller is performed based on abnormal features. This includes adjusting the model parameters of the virtual controller based on the abnormal features. For example, if the accuracy of touch position is found to be problematic, the parameters of the touch position calculation model are adjusted to improve the accuracy of position calculation. The algorithm of the virtual controller is optimized to better handle abnormal features. New touch records and analysis results are then updated into the training data of the virtual controller so that it can learn new touch patterns and user behaviors. Finally, the performance of the virtual controller is evaluated periodically to improve the sensitivity and accuracy of the touch system.
[0065] In the above text, refer to Figure 1 A method for adaptive optimization of sensitivity parameters of a touch color film according to an embodiment of the present invention is described in detail. Next, reference will be made to... Figure 2 An adaptive optimization system for the sensitivity parameters of a touch-sensitive color film according to an embodiment of the present invention is described.
[0066] An adaptive optimization system for the sensitivity parameters of a touch-sensitive color film according to an embodiment of the present invention is used to solve the technical problems existing in the prior art, such as the inability of the sensitivity parameters of touch-sensitive color films to adapt to complex environments and differences in user operation, the difficulty in accurately distinguishing between normal touch and accidental touch behavior, and the inability of different functional zones to achieve differentiated and accurate responses. This system achieves the technical effects of improving the adaptive capability of touch sensitivity, response efficiency and accuracy, and reducing the accidental touch rate. Figure 2 As shown, a sensitivity parameter adaptive optimization system for a touch-sensitive color film includes: a virtual touch circuit generation module 10, a touch response information determination module 20, and a touch-sensitive color film response management module 30.
[0067] The virtual touch circuit generation module 10 is used to perform two-level virtual reconstruction of the touch integrated circuit according to the functional partitions of the touch color film to generate a virtual touch circuit, wherein the virtual touch circuit communicates and interacts with the touch integrated circuit and the touch capacitor structure; the touch response information determination module 20 is used to receive and interpret the touch operation of the touch capacitor structure, determine the touch charge information, assist the virtual controller in performing color film mis-touch judgment and layer response decision based on the virtual touch circuit, and determine the touch response information, wherein the touch response includes first-order color film display and second-order functional response; the touch color film response management module 30 is used to drive the touch integrated circuit according to the touch response information and perform response management of the touch color film.
[0068] The specific configuration of the virtual touch circuit generation module 10 will be described in detail below. The virtual touch circuit generation module 10 further includes: dividing the touch integrated circuit into sub-level circuits and reconstructing nodes according to the color filter display partitions to determine a first reconstruction layer, wherein each sub-level circuit corresponds to a reconstruction node; reconstructing the driving points of the sub-level circuits according to functional control guidance to determine a second reconstruction layer; and cascading the first reconstruction layer and the second reconstruction layer to determine the virtual touch circuit.
[0069] The specific configuration of the virtual touch circuit generation module 10 will be described in detail below. The virtual touch circuit generation module 10 further includes: training a discrimination branch for the first reconstruction layer based on the coexistence of touch features within nodes; performing cascaded training to determine a response branch based on the partitioned color filter display under node matching of the first reconstruction layer and the functional response based on the second reconstruction layer, wherein the response branch is selectively triggered; cascading the discrimination branch and the response branch as a virtual controller, wherein the virtual controller has the virtual touch circuit built-in.
[0070] The specific configuration of the touch response information determination module 20 will be described in detail below. The touch response information determination module 20 further includes: if color filter touch exists, acquiring charge transfer amount and charge loss recovery information; determining touch features based on the charge transfer amount; calculating touch position based on the charge loss recovery information; and determining touch charge information based on the touch features and the touch position.
[0071] The specific configuration of the touch response information determination module 20 will be described in detail below. The touch response information determination module 20 further includes: a charge transfer amount consistent with the assembly charge replenishment amount, wherein the assembly charge replenishment amount is provided by multiple charge replenishment sources; based on the positive correlation between the charge replenishment amount of each charge replenishment source and the distance to the charge replenishment source, the touch position is calculated using the assembly charge replenishment amount and the position of the charge replenishment source.
[0072] The specific configuration of the touch response information determination module 20 will be described in detail below. The touch response information determination module 20 further includes: triggering the discrimination branch in the virtual controller, performing node positioning based on the touch position, performing coexistence determination based on the touch features, and determining the determination result; if the determination result is a false touch, terminating the decision and no response.
[0073] The specific configuration of the touch response information determination module 20 will be described in detail below. The touch response information determination module 20 further includes: if the determination result is a valid touchscreen, triggering the response branch, generating first color filter display information based on the node positioning of the first reconstruction layer, wherein the first color filter display information is a partial or global color filter functional area display; determining second functional response information by locating the driving point of the touch feature according to the node mapping of the first reconstruction layer and the second reconstruction layer; and using the first color filter display information and the second functional response information as the touch response information.
[0074] The specific configuration of the touch screen response management module 30 will be described in detail below. The touch screen response management module 30 further includes: a mapping association between the virtual touch circuit and the touch integrated circuit; mapping and locating the touch response information according to the mapping association, and driving the touch integrated circuit to execute the touch response.
[0075] The specific configuration of the touch screen response management module 30 will be described in detail below. The touch screen response management module 30 further includes: establishing a temporary database that stores touch records and updates it based on a preset period; performing statistical analysis on the temporary database according to the preset period to trace abnormal characteristics based on touch sensitivity and accuracy; and performing incremental learning on the virtual controller based on the abnormal characteristics.
[0076] The sensitivity parameter adaptive optimization system for a touch color film provided in this embodiment of the invention can execute the sensitivity parameter adaptive optimization method for a touch color film provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the method.
[0077] Although this application makes various references to certain modules in the system according to the embodiments of this application, any number of different modules can be used and run on user terminals and / or servers. The various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of each functional unit are only for easy distinction between each other and are not used to limit the scope of protection of this invention.
[0078] The specific embodiments described above do not constitute a limitation on the scope of protection of this application. Those skilled in the art should understand that various modifications, combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the scope of protection of this application.
Claims
1. A method for adaptive optimization of the sensitivity parameters of a touch-sensitive color film, characterized in that, The method includes: Based on the functional partitions of the touch color film, the touch integrated circuit is reconstructed in two stages to generate a virtual touch circuit, wherein the virtual touch circuit communicates and interacts with the touch integrated circuit and the touch capacitor structure. The system receives and interprets touch operations from the capacitive touch structure, determines touch charge information, assists the virtual controller in performing color filter mis-touch judgment and hierarchical response decision based on the virtual touch circuit, and determines touch response information, wherein the touch response includes first-order color filter display and second-order functional response. Based on the touch response information, drive the touch integrated circuit to perform response management of the touch color filter; The step of performing a two-stage virtual reconstruction of the touch integrated circuit to generate a virtual touch circuit includes: Based on the color filter display partition, the touch integrated circuit is divided into sub-level circuits and reconstructed into nodes to determine the first reconstruction layer, wherein each sub-level circuit corresponds to a reconstruction node; Based on the functional control guidance, the driving point of the sub-stage circuit is reconstructed to determine the second reconstruction layer; The first reconstruction layer and the second reconstruction layer are cascaded to determine the virtual touch circuit.
2. The adaptive optimization method for sensitivity parameters of a touch-sensitive color film as described in claim 1, characterized in that, After generating the virtual touch circuitry, the following steps are included: For the first reconstruction layer, the discrimination branch is trained based on the coexistence of touch features within the node; The partitioned color filter display based on node matching of the first reconstruction layer and the functional response based on the second reconstruction layer are cascaded to determine the response branch, wherein the response branch is selectively triggered; The discrimination branch and the response branch are cascaded to form a virtual controller, wherein the virtual controller has the virtual touch circuit built in.
3. The adaptive optimization method for sensitivity parameters of a touch-sensitive color film as described in claim 2, characterized in that, Receiving and interpreting the touch charge information of the touch capacitive structure includes: If color filter touch is present, acquire information on charge transfer and charge loss recovery; The touch features are determined based on the amount of charge transfer. The touch position is calculated based on the charge loss recovery information; The touch charge information is determined based on the touch features and the touch position.
4. The adaptive optimization method for sensitivity parameters of a touch-sensitive color film as described in claim 3, characterized in that, The amount of charge transfer is consistent with the amount of charge replenishment of the assembly, wherein the amount of charge replenishment of the assembly is provided by a charge replenishment source, and there are multiple charge replenishment sources; The touch position is calculated based on the positive correlation between the charge replenishment amount of each charge replenishment source and the distance to the charge replenishment source, using the charge replenishment amount of the assembly and the position of the charge replenishment source.
5. The adaptive optimization method for sensitivity parameters of a touch-sensitive color film as described in claim 3, characterized in that, The determination of color filter mis-touch based on the virtual touch circuit includes: The discrimination branch within the virtual controller is triggered to locate the node based on the touch position, perform coexistence determination based on the touch features, and determine the determination result; If the determination result is a false trigger, the decision is terminated and there is no response.
6. The adaptive optimization method for sensitivity parameters of a touch-sensitive color film as described in claim 5, characterized in that, If the determination result is a valid touch screen, the response branch is triggered, and the first color filter display information is generated according to the node positioning of the first reconstruction layer. The first color filter display information is a partial or global color filter functional area display. Based on the node mapping between the first and second reconstruction layers, the touch features are driven by point localization to determine the second function response information; The touch response information is based on the first color filter display information and the second function response information.
7. The adaptive optimization method for sensitivity parameters of a touch-sensitive color film as described in claim 1, characterized in that, The virtual touch circuit is mapped to the touch integrated circuit; Based on the mapping association, the touch response information is mapped and located, driving the touch integrated circuit to execute the touch response.
8. The adaptive optimization method for sensitivity parameters of a touch-sensitive color film as described in claim 1, characterized in that, After implementing response management for the touchscreen, the following is included: A temporary database is established to store touch records and is updated based on a preset period. According to a preset period, statistical analysis is performed on the temporary database to trace abnormal characteristics based on touch sensitivity and accuracy. Based on the aforementioned anomaly characteristics, the virtual controller undergoes incremental learning.
9. A sensitivity parameter adaptive optimization system for a touch-sensitive color film, characterized in that, The system is used to implement the adaptive optimization method for sensitivity parameters of a touch-sensitive color film according to any one of claims 1 to 8, the system comprising: The virtual touch circuit generation module is used to perform two-level virtual reconstruction of the touch integrated circuit according to the functional partition of the touch color film to generate a virtual touch circuit, wherein the virtual touch circuit communicates and interacts with the touch integrated circuit and the touch capacitor structure. The touch response information determination module is used to receive and interpret the touch operation of the touch capacitive structure, determine the touch charge information, assist the virtual controller in performing color filter mis-touch judgment and hierarchical response decision based on the virtual touch circuit, and determine the touch response information, wherein the touch response includes first-order color filter display and second-order functional response; The touch color filter response management module is used to drive the touch integrated circuit according to the touch response information and perform touch color filter response management.