Flapping control method and device for vehicle-mounted central control screen and vehicle

Abstract

The invention provides a flapping control method and device for a vehicle-mounted central control screen and a vehicle, and the method comprises the steps: obtaining the scene data of vehicle driving, and obtaining the detection data of the flapping action based on the edge of the vehicle-mounted central control screen through a sensor system; identifying the action type of the flapping action according to the detection data and the scene data; according to the method and the device, the action type is acquired, the beating response event matched with the action type is acquired, the beating response event is executed, and by performing fusion judgment on the detection data for detecting beating and the scene data, misjudgment can be effectively reduced, and the accuracy of beating control can be improved.

Description

Technical Field

[0001] This invention relates to the field of intelligent sensing technology, specifically to a tapping control method, device, and vehicle for an in-vehicle central control screen. Background Technology

[0002] As people's living standards improve, cars have become an indispensable means of transportation in daily life. Smart cars often use capacitive touch or pressure sensors for function recognition, such as supporting preset touch gestures to adjust volume. However, existing smart cars only integrate single-dimensional capacitive touch or pressure sensors, which can only recognize simple presses, have limited functionality, and are susceptible to accidental touches due to bumps and vibrations. Summary of the Invention

[0003] In view of this, the present invention aims to provide a tapping control method, device and vehicle for in-vehicle central control screen. By fusing the detection data of tapping with scene data for judgment, it can effectively reduce misjudgment and improve the accuracy of tapping control.

[0004] According to one aspect of the present invention, an embodiment of the present invention provides a tapping control method for an in-vehicle central control screen, comprising: acquiring scene data of vehicle driving; acquiring detection data of tapping actions based on the edge of the in-vehicle central control screen through a sensor system; identifying the action type of the tapping action according to the detection data and the scene data; acquiring a tapping response event matching the action type, and executing the tapping response event; wherein, identifying the action type of the tapping action according to the detection data and the scene data comprises: determining the position information of the tapping action according to the detection data; acquiring the action force of the tapping action according to the detection data and the scene data; determining whether the action is a valid tapping action by comparing the action force with a reference threshold; determining the number of valid tapping actions within a preset time according to the detection data; and if the action is a valid tapping action, identifying the action type of the tapping action according to the position information, the number of actions, and the action force.

[0005] In one embodiment, the detection data includes: a pressure signal and a vibration feature vector; obtaining the force of the slapping action based on the detection data and the scene data includes: applying a preset machine learning algorithm to filter out accidental touches based on the detection data and the scene data; obtaining the pressure feature vector and the vibration feature vector based on the detection data, and determining the scene feature vector based on the scene data, wherein the vibration feature vector includes the frequency and amplitude of the slapping action; and performing a weighted summation of the pressure feature vector, the vibration feature vector, and the scene feature vector to obtain the force of the slapping action.

[0006] In one embodiment, the scene data includes vehicle speed, steering wheel angle, and ambient light intensity; the step of applying a preset machine learning algorithm to filter accidental touches based on the detection data and the scene data includes: applying the machine learning algorithm to the detection data and the scene data to perform the following processing: filtering detection data where the pressure rise slope is less than or equal to a reference slope; when the vehicle speed is greater than the reference vehicle speed, increasing the reference threshold by a preset ratio; and selecting the detection data that matches historical detection data of historical tapping actions.

[0007] In one embodiment, the tapping response event is at least one of the following: vehicle function control event, tapping permission control event, linkage device control event, third-party application operation event, and feedback method control event.

[0008] In one embodiment, acquiring detection data of a tapping motion based on the edge of the vehicle's central control screen via a sensor system includes: sensing the user's tapping motion through a multi-channel piezoresistive array disposed on the edge of the vehicle's central control screen to obtain a pressure signal; capturing the frequency and amplitude of the vibration caused by the tapping motion through a six-axis inertial measurement unit connected to the piezoresistive array; combining the pressure signal, the frequency, and the amplitude to obtain detection data, and transmitting it through a magnetic PIN interface.

[0009] In one embodiment, acquiring detection data of a tapping action based on the edge of the vehicle's central control screen via a sensor system includes: detecting the user's tapping action using a piezoelectric ceramic sensor disposed on the edge of the vehicle's central control screen; and acquiring the detection data transmitted by a flexible circuit board connected to the piezoelectric ceramic sensor.

[0010] In one embodiment, the method further includes: converting the mechanical energy of the striking action into alternating current through the piezoelectric ceramic sensor; converting the alternating current into direct current and storing it.

[0011] In one embodiment, the method further includes: displaying a graphical interface on the vehicle's infotainment system, wherein the edge area of ​​the vehicle's central control screen is displayed in a first display area of ​​the graphical interface, and preset function icons are displayed in a second display area of ​​the graphical interface, wherein any preset function icon corresponds to a tap response event; controlling any preset function icon in the second display area to move to the first display area and matching the tapping action corresponding to the preset function icon.

[0012] According to another aspect of the present invention, an embodiment of the present invention provides a tapping control device for an in-vehicle central control screen, applied to a vehicle controller, the tapping control device for the in-vehicle central control screen comprising: The data acquisition module is used to acquire scene data of vehicle driving and to acquire detection data of patting actions based on the edge of the vehicle's central control screen through a sensor system; the action recognition module is used to identify the action type of the patting action based on the detection data and the scene data; the action response module is used to acquire a patting response event matching the action type and execute the patting response event; wherein, the action recognition module is further used to: determine the position information of the patting action based on the detection data; acquire the action force of the patting action based on the detection data and the scene data; determine whether the patting action is valid based on the action force compared with a reference threshold; determine the number of valid patting actions within a preset time based on the detection data; if it is a valid patting action, identify the action type of the patting action based on the position information, the number of actions, and the action force.

[0013] According to another aspect of the present invention, an embodiment of the present invention provides a vehicle comprising: a memory for storing executable program code; and a processor for calling and running the executable program code from the memory, such that the processor executes the above-described vehicle central control screen tapping control method.

[0014] This invention provides a method, device, and vehicle for controlling the tapping action of an in-vehicle central control screen. The method acquires scene data of the vehicle's movement and obtains detection data of tapping actions based on the edge of the in-vehicle central control screen through a sensor system. It identifies the action type of the tapping action based on the detection data and the scene data, acquires a tapping response event matching the action type, and executes the tapping response event. By fusing the detection data of the tapping action with the scene data, the method effectively reduces misjudgments and improves the accuracy of the tapping control. Attached Figure Description

[0015] The above and other objects, features, and advantages of this application will become more apparent from the more detailed description of the embodiments of this application in conjunction with the accompanying drawings. The drawings are provided to further illustrate the embodiments of this application and form part of the specification. They are used together with the embodiments of this application to explain this application and do not constitute a limitation thereof. In the drawings, the same reference numerals generally represent the same components or steps.

[0016] Figure 1 The diagram shown is a flowchart illustrating a tapping control method for an in-vehicle central control screen according to an embodiment of this application.

[0017] Figure 2 The diagram shown is a structural example of a sensor system provided in an embodiment of this application.

[0018] Figure 3The diagram shown is a structural example of another sensor system provided in an embodiment of this application.

[0019] Figure 4 The diagram shown is a schematic representation of a tapping control device for a vehicle central control screen according to an embodiment of this application.

[0020] Figure 5 The diagram shown is a structural schematic of a vehicle according to an embodiment of this application. Detailed Implementation

[0021] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0022] Furthermore, in exemplary embodiments, since the same reference numerals denote the same components having the same structure or the same steps of the same method, if one embodiment has been described by way of example, then in other exemplary embodiments only structures or methods different from those described in the embodiment will be described.

[0023] Throughout the specification and claims, when a component is described as being “connected” to another component, that component may be “directly connected” to the other component or “electrically connected” to the other component via a third component. Furthermore, unless explicitly stated otherwise, the term “comprising” and its corresponding terms should be understood only to include the stated component and not to exclude any other component.

[0024] In related technologies, smart cars often employ capacitive touch or pressure sensors for function recognition, such as supporting preset touch gestures for functions like volume adjustment. Traditional in-vehicle center consoles use physical buttons for fixed functions, lacking customization capabilities and occupying valuable space. Some smart cars use capacitive touch on the center screen for operation, supporting preset touch gestures (like volume adjustment), but lack edge tap interaction; alternatively, the center screen has a fixed PIN interface for connecting specific original accessories (like ambient lighting), lacking tap sensing and customization. Some smart cars only integrate single-dimensional capacitive touch or pressure sensors, capable of recognizing simple presses, offering limited functionality, and are susceptible to accidental touches due to bumps and vibrations.

[0025] Existing touch control solutions require multiple steps: "unlock - enter menu - click," resulting in a long average time consumption of ≥1.1 seconds, leading to low operational efficiency. Furthermore, the lack of optimized interaction paths for driving scenarios increases the risk of the user's gaze deviating from the road. Capacitive touchscreens lack physical feedback, relying solely on a single capacitive signal, making it impossible to distinguish between intentional and accidental touches, resulting in a poor blind operation experience and a mis-touch rate of ≥15% in nighttime or bumpy conditions. In-vehicle central control screens only support original factory-preset accessories, and traditional physical buttons have fixed functions. Due to the closed system and unopened hardware interfaces, they cannot meet users' personalized needs (such as pet mode or chauffeur mode). Single pressure sensing solutions have a standby power consumption of ≥1.5W, with sensitivity decreasing by ≥30% in low-temperature environments (below -20℃). The lack of a low-power MCU and temperature compensation mechanism makes them unsuitable for the complex in-vehicle environment, resulting in high power consumption and insufficient reliability. Existing solutions only cover original factory new cars, neglecting the needs of aftermarket non-original models. Due to high hardware integration and a lack of modular design, they cannot adapt to different brands / sizes of central control screens, leading to insufficient scenario compatibility.

[0026] To address the issues of limited touch functionality and susceptibility to accidental touches in related technologies, this application provides an embodiment of a tapping control method for an in-vehicle central control screen. For example... Figure 1 As shown, the tapping control method for this in-vehicle central control screen includes: Step S11: Obtain scene data of vehicle driving, and obtain detection data of patting action based on the edge of the vehicle central control screen through the sensor system.

[0027] In this embodiment, the vehicle driving scenario data includes driving parameters and environmental data of the vehicle's location. Driving parameters and environmental data detected by existing sensors on the vehicle can be obtained through direct communication with the vehicle. The sensor system is located at the edge of the vehicle's central control screen; it can be a factory-built-in sensor or multiple sensors can be configured on the edge of the central control screen via a magnetic PIN interface. When the user taps a location on the edge of the central control screen, the sensor collects relevant detection data.

[0028] Step S12: Identify the action type of the slapping action based on the detection data and the scene data.

[0029] Based on the detection data, pressure signals and vibration characteristics related to the user's tapping actions can be obtained. Scene data can determine the likelihood of false triggering during vehicle operation, such as from bumps or collisions. Combining detection and scene data allows for accurate identification of the tapping action type, preventing false triggering. Action types can include long presses, double-tapes, and triple-tapes on different edge areas of the vehicle's central control screen. For example, long presses, double-tapes, and triple-tapes on the top, bottom, left, and right edges of the central control screen. Furthermore, the top, bottom, left, and right edges of the central control screen can be divided into multiple areas, each with a corresponding set of sensors; different tapping actions in different areas correspond to different action types.

[0030] Step S13: Obtain a slapping response event that matches the action type, and execute the slapping response event.

[0031] After determining the type of slapping motion, the matching slapping response events are obtained based on the motion type. A matching table between motion types and slapping response events can be pre-set in memory as needed, where different motion types correspond to different slapping response events. During use, the matching table can be modified and adjusted as required. After determining the motion type of slapping motion, the matching table can be queried to obtain the slapping response events that match the motion type. The matching table indicates the matching relationship between motion types and slapping response events.

[0032] After obtaining the tap response event, the tap response event can be executed. Specifically, it can control the vehicle, such as turning on the hazard lights or performing front defrosting operations; it can also operate third-party applications, such as turning on audio or video, or adjusting navigation routes; it can also communicate and link with other devices, such as smart wearable devices, smart home devices, etc., such as controlling a smartwatch to send messages to relevant contacts, or turning the home air conditioner on or off.

[0033] This invention provides a tapping control method for an in-vehicle central control screen. The method acquires scene data of the vehicle's movement and uses a sensor system to obtain detection data of tapping actions based on the edge of the in-vehicle central control screen. It identifies the action type of the tapping action based on the detection data and the scene data; acquires a tapping response event matching the action type; and executes the tapping response event. By fusing the detection data of the tapping action with the scene data, the method effectively reduces misjudgments, improves the accuracy of tapping control, and enables multi-functional control.

[0034] In one embodiment, acquiring detection data of a tapping motion based on the edge of the vehicle's central control screen via a sensor system includes: sensing the user's tapping motion through a multi-channel piezoresistive array disposed on the edge of the vehicle's central control screen to obtain a pressure signal; capturing the frequency and amplitude of the vibration caused by the tapping motion through a six-axis inertial measurement unit connected to the piezoresistive array; combining the pressure signal, the frequency, and the amplitude to obtain detection data, and transmitting it through a magnetic PIN interface.

[0035] The sensor system based on aftermarket adapters can employ a multi-channel varistor array, such as an 8-channel varistor array, with a precision of 0.1N and a spatial resolution of 0.3mm. The six-axis inertial measurement unit (IMU) has a sampling rate of 2000Hz. A low-power microcontroller (MCU) with a standby current of less than 1μA is used; the specific model can be selected according to requirements. The magnetic PIN interface includes multiple general-purpose input / output (GPIO) ports, with a spacing of 2.54mm between adjacent GPIOs. Other spacings can also be used, adaptively adjusted based on the number of GPIOs and the size of the vehicle's central control screen. The varistor array, six-axis IMU, and processor are mounted on a flexible printed circuit board (PCB). The flexible PCB dimensions are 120mm (L) × 15mm (W) × 5mm (H), but other dimensions can also be used. The flexible PCB board is encased in an acrylonitrile-butadiene-styren (ABS) flame-retardant shell, supporting 3D printing customization. Four magnetic contacts are located along the edge, serving as a magnetic PIN interface. The magnetic contacts have a diameter of 3mm and a magnetic force of 5N. This magnetic PIN interface connects to a pre-reserved interface on the edge of the vehicle's central control screen. Power is supplied to the On-Board Diagnostics (OBD) system, with an input voltage of 12V, which is converted to 3.3V. Data communication with the Electronic Control Unit (ECU) is achieved via the Controller Area Network (CAN) bus. In one embodiment, a USB-C interface can also be used for greater versatility. By applying an aftermarket sensor system, advanced interactive functions can be achieved. When a user lightly taps the edge of the vehicle's central control screen, a multi-channel piezoresistive array positioned along the edge of the screen senses the tapping motion and collects the pressure signal. A six-axis inertial measurement unit connected to the piezoresistive array captures the frequency and amplitude of the vibration, acquiring detection data. The processor combines the pressure signal, frequency, and amplitude into a single data package and sends it to a vehicle controller within the vehicle system, triggering the corresponding function. This hardware solution boasts a 0.28-second response time, a 0.3% false touch rate, an IP67 waterproof rating, and a plug-in lifespan of ≥100,000 cycles. This allows for the acquisition of multiple data sets, facilitating subsequent multi-data fusion and accurate identification of the tapping motion type.

[0036] In one embodiment, acquiring detection data of a tapping action based on the edge of the vehicle's central control screen via a sensor system includes: detecting the user's tapping action using a piezoelectric ceramic sensor disposed on the edge of the vehicle's central control screen; and acquiring the detection data transmitted by a flexible circuit board connected to the piezoelectric ceramic sensor.

[0037] The sensor system includes piezoelectric ceramic sensors, a temperature compensation chip, an energy harvesting circuit, and flexible FPC connecting cables. Multiple piezoelectric ceramic sensors are evenly embedded inside the bezel of the vehicle's central control screen and connected to the vehicle's mainboard via a flexible printed circuit (FPC). The piezoelectric ceramic sensors are bonded to the glass of the central control screen using ultra-violet ray glue (UV glue), with a bonding accuracy of ±0.02mm. Multiple piezoelectric ceramic sensors can be embedded in the top, bottom, left, and right edges of the central control screen. The number of piezoelectric ceramic sensors embedded in each edge can be the same or different; no specific restrictions are imposed. For example... Figure 2 In this configuration, one piezoelectric ceramic sensor is embedded on each of the left and right edges of the vehicle's central control screen, and two piezoelectric ceramic sensors are embedded on each of the top and bottom edges. Alternatively, as shown... Figure 3 As shown, three piezoelectric ceramic sensors are embedded on each of the left and right edges of the vehicle's central control screen, and two piezoelectric ceramic sensors are embedded on each of the top and bottom edges. It should be noted that the dimensions and related performance parameters of the piezoelectric ceramic sensors, temperature compensation chip, energy harvesting circuit, and flexible FPC connecting wires can be selected as needed and are not specifically limited here. Preferably, the piezoelectric ceramic sensor has a thickness of 0.3 mm, a diameter of 8 mm, a response frequency of 10-20 kHz, an accuracy of 0.5℃ for the temperature compensation chip, a conversion rate of 5.6% for the energy harvesting circuit, and a width of 2 mm for the flexible FPC connecting wire. The surface of the piezoelectric ceramic sensor can be covered with a stainless steel protective layer of a certain thickness, such as 0.1 mm. The inner side of the vehicle's central control screen frame is filled with silicone damping material, such as a 50-degree elastomer, i.e., a damping material with a hardness of 50 Shore A. When a user lightly taps the edge of the vehicle's central control screen, mechanical energy is transmitted through the glass to a piezoelectric ceramic sensor, which converts it into an electrical signal. This signal generates detection data, which is then calibrated by a temperature compensation chip and sent to the vehicle controller for subsequent action type recognition. This hardware solution has a response time of 0.25 seconds, a false touch rate of 0.18%, an operating temperature range of -40℃ to 125℃, and a lifespan of ≥500,000 trigger cycles.

[0038] It should be noted that the above hardware solutions can be used in vehicles. This means that a built-in trigger device, i.e., a piezoelectric ceramic sensor, can be integrated into the center console screen during its manufacturing process and connected to the vehicle's mainboard via an FPC. Alternatively, after the center console screen is manufactured, a varistor array and a six-axis inertial measurement unit can be integrated onto a flexible PCB board and connected to a pre-reserved interface on the edge of the center console screen via a magnetic PIN interface. Of course, if the vehicle's spatial structure allows, both hardware solutions can be used simultaneously; no specific restrictions are imposed here.

[0039] To accurately identify the type of slapping motion, it is necessary to fuse the detection data and scene data. Therefore, in one embodiment, identifying the type of slapping motion based on the detection data and scene data includes: determining the location information of the slapping motion based on the detection data; obtaining the force of the slapping motion based on the detection data and scene data; determining whether the slapping motion is valid by comparing the force with a reference threshold; determining the number of valid slapping motions within a preset time based on the detection data; and if the slapping motion is valid, identifying the type of slapping motion based on the location information, the number of motions, and the force.

[0040] Different sensors surrounding the vehicle's central control screen correspond to different edge areas. The location of the tapping action can be determined based on the sensors transmitting detection data and their placement. Different location information corresponds to different tapping actions. For example, tapping on the left edge and tapping on the right edge are two different tapping actions, belonging to different action types. The detection data and scene data are fused, and the force of the tapping action is calculated. The calculated force is compared with a reference threshold. If the force is greater than or equal to the reference threshold, the tapping action is determined to be valid. If the calculated force is less than the reference threshold, the tapping action is determined to be invalid interference, such as from bumps or accidental collisions. The reference threshold can be set as needed; for example, it can be set to 1.2N and supports user fine-tuning. The number of valid tapping actions within a preset time is determined based on the detection data, i.e., how many consecutive taps are performed. Then, the action type is determined based on the location information, the number of actions, and the force. The action type can be a long press, double tap, triple tap, etc., on different edge areas of the vehicle's central control screen. By fusing detection data with environmental data, interference caused by bumps, accidental collisions, etc., can be filtered out, which helps to accurately identify the type of slapping action and facilitates the subsequent determination of the slapping response event based on the type of action.

[0041] In one embodiment, the detection data includes: a pressure signal and a vibration feature vector; obtaining the force of the slapping action based on the detection data and the scene data includes: applying a preset machine learning algorithm to filter out accidental touches based on the detection data and the scene data; obtaining the pressure feature vector and the vibration feature vector based on the detection data, and determining the scene feature vector based on the scene data, wherein the vibration feature vector includes the frequency and amplitude of the slapping action; and performing a weighted summation of the pressure feature vector, the vibration feature vector, and the scene feature vector to obtain the force of the slapping action.

[0042] If the sample size is not large, decision tree algorithms are a viable machine learning approach due to their low computational cost. However, the accuracy of decision tree algorithms decreases in complex scenes, potentially dropping by 5%. With a sufficient number of samples, existing Long Short-Term Memory (LSTM) networks can be used. For example, over 100,000 samples (including scenarios such as valid taps, road bumps, and car door closures) can be input, with a training cycle of 200 rounds. LSTM algorithms can improve action recognition accuracy, achieving models with accuracy exceeding 99.7%. By applying a pre-defined machine learning algorithm to filter false touches based on the detection and scene data, interference can be accurately filtered out, contributing to improved accuracy in action type recognition.

[0043] If the detection data is acquired through a multi-channel piezoresistive array and a six-axis inertial measurement unit (IMU), the data directly includes the pressure signal sensed by the piezoresistive array and the frequency and amplitude of the vibration captured by the IMU. Pressure feature vectors and vibration feature vectors can then be extracted separately. If the detection data is an AC signal acquired through a piezoelectric ceramic sensor, the AC signal can be analyzed to obtain the frequency and amplitude of the vibration of the pressure signal, allowing for the extraction of pressure feature vectors P and V. The pressure feature vector includes the power spectrum slope, the principal mode vibration frequency, and the damping ratio. The power spectrum slope is obtained by connecting the first and last points of the power spectrum and calculating its slope. The vibration feature vector is a two-dimensional feature vector, V = [f, a], which includes the frequency (f) and amplitude (a). A scene feature vector C is also determined based on the scene data. The scene feature vector C = [v, θ, I] is a 3-dimensional vector that includes vehicle speed (v), steering wheel angle (θ), and ambient light intensity (I).

[0044] Then, the pressure feature vector, the vibration feature vector, and the scene feature vector are weighted and summed according to the fusion formula to obtain the action force F_trigger of the slapping action. F_trigger = α・P + β・V + γ・C, where α, β, and γ are the corresponding weight coefficients. The specific values ​​of α, β, and γ can be set as needed; for example, preferably α = 0.5, β = 0.35, and γ = 0.15. The fusion formula performs vector operations, that is, multiplying and then adding corresponding components. The action force obtained in this way fully considers the actual slapping action and the influence of the environment, accurately obtaining the action force of the slapping action, which is convenient for subsequent action type identification.

[0045] Considering that road bumps or excessive vehicle speed can easily cause vibrations in the vehicle's central control screen, and drivers may accidentally touch the edge of the screen while driving, which could be mistakenly interpreted as a tapping motion. To accurately detect and filter out accidental touches in the data, in one embodiment, the scene data includes vehicle speed, steering wheel angle, and ambient light intensity. The step of applying a preset machine learning algorithm to filter accidental touches based on the detected data and the scene data includes: applying the machine learning algorithm to the detected data and scene data for the following processing: filtering detected data where the pressure rise slope is less than or equal to a reference slope; increasing the reference threshold by a preset ratio when the vehicle speed is greater than the reference speed; and selecting detected data that matches historical detection data of historical tapping motions.

[0046] The reference slope, reference vehicle speed, and preset ratio can be set as needed. For example, preferably, the reference slope can be 2 N / ms, the reference vehicle speed can be 60 km / h, and the preset ratio can be 20%. By filtering detection data where the slope of the pressure rise edge is less than or equal to the reference slope, slow pressing can be excluded, achieving physical layer filtering. For example, accidental touches by the driver are generally light and slow touches, and physical layer filtering can exclude such touches. When the vehicle speed is greater than the reference speed, i.e., when the vehicle speed is high, the vibration caused by vehicle bumps is greater, and when the driver pats the edge of the vehicle's central control, the force of the pat is often much greater than when the vehicle is driving smoothly. Therefore, increasing the reference threshold by the preset ratio can more accurately filter interference, achieving behavioral layer filtering. For the same vehicle and driver, under the same environmental conditions, the detection data corresponding to the driver's patting action generally do not differ significantly. Therefore, this embodiment can also consider matching the detection data with historical detection data of historical patting actions, filtering out detection data that differs significantly from historical data, achieving biological layer filtering, which can further improve the accuracy of action type determination. It should be noted that if the detection deviation is greater than the reference deviation, a secondary confirmation is required to accurately determine the action type. The reference deviation can be set as needed, preferably 30%.

[0047] After determining the type of tapping action, a tapping response event matching the action type can be obtained. Optionally, the vehicle's infotainment system can pre-set a matching table between action types and tapping response events. After determining the action type, the matching table can be searched to determine the tapping response event matching the action type. The tapping response event is at least one of the following: vehicle function control event, tapping permission control event, linked device control event, third-party application operation event, or feedback method control event. For example, a tapping response event could be turning on hazard lights, adjusting volume, starting audio playback, turning off or on a home air conditioner, or sending a message to a wearable device. Users can set the tapping response event according to their needs. In one embodiment, the tapping action can also be combined with biometrics. For example, some sensitive functions require dual authentication of "tap + fingerprint / face". For example, unlocking car doors and payment permissions. Users can set or adjust the corresponding tapping response event as needed to meet their personalized needs.

[0048] To facilitate user settings or adjustments of tapping response events matching the action types of various tapping actions, these settings or adjustments can be made through a customizable "interactive cube" tool within the vehicle's infotainment system. In one embodiment, the method further includes: displaying a graphical interface on the vehicle's infotainment system, wherein the edge area of ​​the vehicle's central control screen is displayed in a first display area of ​​the graphical interface, and preset function icons are displayed in a second display area of ​​the graphical interface, wherein each preset function icon corresponds to a tapping response event; controlling any preset function icon in the second display area to move to the first display area and matching it with the tapping action corresponding to the preset function icon. For example, the graphical interface on the vehicle's infotainment system displays "edge areas" (up / down / left / right) on the left side and "optional functions" on the right side. "Up," "down," "left," and "right" can be directly displayed on the left side of the graphical interface to indicate the corresponding edge areas. Optional functions can include over 30 in-vehicle functions such as air conditioning, navigation, and trunk access, as well as control functions for linked devices or third-party applications, and can be represented by function icons. When matching action types with tapping response events, users can drag the right-side function icons to the left edge area and then select the trigger method (double-tap / triple-tap / long press). A notification sound can also be recorded, supporting real-time recording or local file upload, and automatic noise reduction via Artificial Intelligence (AI). Multiple customizable modes can be configured, such as "Commuting Mode" and "Parent-Child Mode." The matching relationship between action types and tapping response events is then saved. This embodiment of the application, by freely setting the matching relationship between action types and tapping response events, fully meets users' personalized needs, supporting free mapping of 48 tapping actions with over 30 functions. The custom scene coverage rate has increased from 35% in existing technologies to 98.3%, adapting to subdivided scenarios such as pet mode and designated driver mode. For example, it can connect to the Mi Home / Huawei HarmonyOS ecosystem through an open Application Programming Interface (API), such as tapping the upper edge → turning on the home air conditioner (26℃) + closing the curtains, achieving smart home linkage. It can communicate with smartwatches; for example, tapping the left edge allows the watch to send its real-time location to emergency contacts, enabling wearable device integration. It also supports customized interactions with navigation and music apps; for instance, tapping the right edge switches the navigation to "highway priority" routes, allowing third-party apps to connect.

[0049] The following example illustrates how the tapping control method of the vehicle's central control screen is implemented.

[0050] Example 1: Using the original factory-configured sensor system, it can be adapted to a 15.6-inch curved central control screen. It has 6 built-in piezoelectric ceramic sensors (2 on the top and bottom edges, and 1 on the left and right edges), and is equipped with the "Interactive Cube" tool. It supports "double-click on the top edge → front defrost" and "triple-click on the bottom edge → pet mode" customization. The standby power consumption is 0.1W, and the trigger success rate is 99.2% in an environment of -40℃.

[0051] Example 2: The sensor system with aftermarket adapter can be adapted to a 10.25-inch flat central control screen. It adopts a PIN interface expansion module, draws power through OBD, and supports "long press on the left edge → double flash" and "double tap on the right edge → adjust volume". The installation time is 8 minutes and the accidental touch rate when operating with wet hands is 0.5%.

[0052] Since piezoelectric ceramic sensors can convert mechanical energy into alternating current (AC), this AC energy can be recovered. Based on this, in one embodiment, the method further includes: converting the mechanical energy of the tapping action into AC energy using the piezoelectric ceramic sensor; and converting the AC energy into DC energy and storing it. Specifically, the vibration generated by the user tapping the edge of the vehicle's central control screen drives the piezoelectric ceramic sensor to convert mechanical energy into AC energy for output. A rectifier bridge can be used to convert the AC energy into DC energy and store it in an energy storage element. The preferred energy storage element is a supercapacitor, but other energy storage elements can also be used. In use, a voltage regulator can stably output 3.3V for standby power supply, reducing standby power consumption to below 0.1W, which is 15 times better than existing standby solutions.

[0053] This invention provides a pioneering dual-mode solution for tapping control of in-vehicle central control screens, combining "PIN interface expansion + built-in integration." It simultaneously covers both aftermarket and original equipment manufacturer (OEM) standard configurations, achieving dual hardware compatibility and solving the problem of limited adaptability in existing technologies. It supports aftermarket / OEM, curved / flat, and different sized central control screens, adapting to 10.25-17 inch screens (curvature radius ≥ 500mm), boasting the widest industry compatibility. Through multi-modal fusion triggering, it integrates pressure, vibration, and scene data for judgment, overcoming the technical bottleneck of easy accidental touches with single sensors. The accidental touch rate is reduced to 0.18%, and the accuracy rate in nighttime / bumpy scenarios is improved to 99.8%, resolving the issues of users "not being able to find buttons" or "pressing the wrong function." Addressing pain points, the function trigger time is reduced to 0.25 seconds, a 77% improvement over existing solutions. Through the "Interactive Cube" tool and open APIs, it enables full-link customization across actions, functions, sound effects, and devices, meeting personalized needs and achieving a comprehensive customization system. The piezoelectric ceramic sensor combines signal acquisition and energy recovery functions, reducing standby power consumption to below 0.1W, 15 times better than existing solutions, achieving low-power energy harvesting. Through temperature compensation, shock absorption protection, and size adaptation, it achieves stable operation in environments ranging from -40℃ to 125℃, adapting to over 95% of vehicle center console screens, with a wide applicable temperature range. The trigger success rate is ≥99% in extremely cold environments (-40℃) and it can operate continuously for 720 hours without failure in high-temperature environments (85℃).

[0054] In a tapping control method for an in-vehicle central control screen provided by this invention, scene data of vehicle driving is acquired, and detection data of tapping actions based on the edge of the in-vehicle central control screen is acquired through a sensor system; the action type of the tapping action is identified based on the detection data and the scene data; a tapping response event matching the action type is acquired and executed; by fusing the detection data of the tapping action with the scene data, misjudgment can be effectively reduced and the accuracy of tapping control can be improved.

[0055] Figure 4 The diagram shown is a structural schematic of a tapping control device for a vehicle central control screen according to an embodiment of this application. Figure 4 As shown, the tapping control device 400 of the vehicle's central control screen includes: The data acquisition module 401 is used to acquire scene data of vehicle driving and to acquire detection data of patting action based on the edge of the vehicle central control screen through the sensor system. The action recognition module 402 is used to identify the action type of the slapping action based on the detection data and the scene data; The action response module 403 is used to acquire a slapping response event that matches the action type and execute the slapping response event; The action recognition module 402 is further configured to: determine the position information of the slapping action based on the detection data; obtain the action force of the slapping action based on the detection data and the scene data; determine whether the slapping action is valid by comparing the action force with a reference threshold; determine the number of valid slapping actions within a preset time based on the detection data; and if the slapping action is valid, identify the action type of the slapping action based on the position information, the number of actions, and the action force.

[0056] In one embodiment, the detection data includes: a pressure signal and a vibration feature vector; the action recognition module 402 is further configured to: apply a preset machine learning algorithm to filter accidental touch actions based on the detection data and the scene data; obtain the pressure feature vector and the vibration feature vector based on the detection data, and determine the scene feature vector based on the scene data, wherein the vibration feature vector includes the frequency and amplitude of the slapping action; and perform a weighted summation of the pressure feature vector, the vibration feature vector, and the scene feature vector to obtain the action force of the slapping action.

[0057] In one embodiment, the scene data includes vehicle speed, steering wheel angle, and ambient light intensity; the action recognition module 402 is further configured to: apply a machine learning algorithm to perform the following processing based on the detection data and the scene data: filter detection data where the slope of the pressure rise edge is less than or equal to a reference slope; when the vehicle speed is greater than the reference vehicle speed, increase the reference threshold by a preset ratio; and filter out the detection data that matches the historical detection data of the historical slapping action.

[0058] In one embodiment, the tapping response event is at least one of the following: vehicle function control event, tapping permission control event, linkage device control event, third-party application operation event, and feedback method control event.

[0059] In one embodiment, the data acquisition module 401 is used to: sense the user's tapping action through a multi-channel piezoresistive array disposed at the edge of the vehicle's central control screen to acquire a pressure signal; capture the frequency and amplitude of the vibration caused by the tapping action through a six-axis inertial measurement unit connected to the piezoresistive array; combine the pressure signal, the frequency, and the amplitude to obtain detection data, and transmit it through a magnetic PIN interface.

[0060] In one embodiment, the data acquisition module 401 is used to: detect the detection data of the user's patting action through a piezoelectric ceramic sensor disposed on the edge of the vehicle's central control screen; and acquire the detection data transmitted by a flexible circuit board connected to the piezoelectric ceramic sensor.

[0061] In one embodiment, the device further includes an energy recovery module, which is used to: convert the mechanical energy of the slapping action into alternating current through the piezoelectric ceramic sensor; and convert the alternating current into direct current and store it.

[0062] In one embodiment, the action response module 403 is further configured to: display a graphical interface on the vehicle terminal, wherein the edge area of ​​the vehicle central control screen is displayed in the first display area of ​​the graphical interface, and preset function icons are displayed in the second display area of ​​the graphical interface, wherein any preset function icon corresponds to a tap response event; control any preset function icon in the second display area to move to the first display area, and match the tapping action corresponding to the preset function icon.

[0063] This invention provides a tapping control device for an in-vehicle central control screen. It acquires scene data of vehicle movement and uses a sensor system to obtain detection data of tapping actions based on the edge of the in-vehicle central control screen. Based on the detection data and the scene data, it identifies the action type of the tapping action; acquires a tapping response event matching the action type, and executes the tapping response event. By fusing the detection data of the tapping action with the scene data, it can effectively reduce misjudgments and improve the accuracy of tapping control.

[0064] According to another aspect of the present invention, one embodiment of the present invention provides a vehicle, Figure 5 This is a schematic diagram of the structure of a vehicle provided in an embodiment of this application.

[0065] For example, such as Figure 5 As shown, the vehicle includes a memory 501 and a processor 502. The memory 501 stores executable program code 5011, and the processor 502 is used to call and execute the executable program code 5011 from the memory, so that the processor 502 executes the tapping control method of the vehicle's central control screen.

[0066] This embodiment can divide the vehicle into functional modules according to the above method embodiment. For example, each function can be assigned to a separate module, or two or more functions can be integrated into one processing module. The integrated module can be implemented in hardware. It should be noted that the module division in this embodiment is illustrative and only represents one logical functional division. In actual implementation, there may be other division methods.

[0067] When each function is divided into modules, the vehicle may include: a data acquisition module, a motion recognition module, and a motion response module.

[0068] It should be noted that all relevant content of each step involved in the above method embodiments can be referenced from the functional description of the corresponding functional module, and will not be repeated here.

[0069] The vehicle provided in this embodiment is used to execute the above-described tapping control method for an in-vehicle central control screen, and thus can achieve the same effect as the above-described implementation method.

[0070] When using integrated units, the vehicle may include a processing module and a storage module. The processing module is used to control and manage the vehicle's movements. The storage module supports the processing module in executing program code and storing data.

[0071] The processing module may be a processor or a controller, which can implement or execute various exemplary logic blocks, modules, and circuits as disclosed in this application. The processor may also be a combination of computing functions, such as a combination of one or more microprocessors, a combination of digital signal processing (DSP) and microprocessors, etc., and the storage module may be a memory.

[0072] This embodiment also provides a computer-readable storage medium (including but not limited to disk storage, CD-ROM, optical storage, etc.) storing computer program code. When the computer program code is run on a computer, the computer executes the above-mentioned related method steps to implement the tapping control method for a vehicle central control screen provided in the above embodiment. The computer-readable storage medium may include, but is not limited to, any type of disk, including floppy disks, optical disks, Digital Video Discs (DVDs), CompactDisc Read-Only Memory (CD-ROMs), microdrives, and magneto-optical disks, read-only memory (ROMs), random access memory (RAMs), erasable programmable read-only memory (EPROMs), electrically erasable programmable read-only memory (EEPROMs), dynamic random access memory (DRAMs), video random access memory (VRAMs), flash memory devices, magnetic cards or optical cards, nanosystems (including molecular memory ICs), or any type of medium or device suitable for storing instructions and / or data.

[0073] This embodiment also provides a computer program product. When the computer program product is run on a computer, it causes the computer to perform the above-mentioned related steps to realize the tapping control method for an in-vehicle central control screen provided in the above embodiment.

[0074] The beneficial effects of the above embodiments can be referred to the beneficial effects of the corresponding methods provided above, and will not be repeated here.

[0075] The basic principles of this application have been described above with reference to specific embodiments. However, it should be noted that the advantages, benefits, and effects mentioned in this application are merely examples and not limitations, and should not be considered as essential features of each embodiment of this application. Furthermore, the specific details disclosed above are for illustrative and facilitative purposes only, and are not limitations. These details do not limit the application to the necessity of employing the aforementioned specific details for implementation.

[0076] The block diagrams of devices, apparatuses, devices, and systems involved in this application are merely illustrative examples and are not intended to require or imply that they must be connected, arranged, or configured in the manner shown in the block diagrams. As those skilled in the art will recognize, these devices, apparatuses, devices, and systems can be connected, arranged, and configured in any manner. Words such as “comprising,” “including,” “having,” etc., are open-ended terms meaning “including but not limited to,” and are used interchangeably with them. The terms “or” and “and” as used herein refer to the terms “and / or,” and are used interchangeably with them unless the context clearly indicates otherwise. The term “such as” as used herein refers to the phrase “such as but not limited to,” and is used interchangeably with it.

[0077] It should also be noted that in the apparatus or equipment of this application, the components or steps can be disassembled and / or recombined. These disassemblies and / or recombinations should be considered as equivalent solutions of this application.

[0078] The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use this application. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein can be applied to other aspects without departing from the scope of this application. Therefore, this application is not intended to be limited to the aspects shown herein, but rather to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0079] The above description has been given for purposes of illustration and description. Furthermore, this description is not intended to limit the embodiments of this application to the forms disclosed herein. Although numerous exemplary aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, alterations, additions, and sub-combinations thereof.

Claims

1. A tapping control method for an in-vehicle central control screen, applied to a vehicle controller, characterized in that, The method includes: Acquire scene data of vehicle driving, and obtain detection data of patting action based on the edge of the vehicle's central control screen through the sensor system; The action type of the slapping action is identified based on the detection data and the scene data; Obtain a slapping response event that matches the action type, and execute the slapping response event; The step of identifying the action type of the slapping action based on the detection data and the scene data includes: The location information of the slapping action is determined based on the detection data; The force of the slapping action is obtained based on the detection data and the scene data. Based on the comparison between the force of the action and the reference threshold, it is determined whether the slapping action is effective; The number of effective slapping actions within a preset time period is determined based on the detection data. If it is a valid slapping motion, the type of slapping motion is determined based on the position information, the number of times the motion is performed, and the force of the motion.

2. The method according to claim 1, characterized in that, The detection data includes: pressure signal and vibration feature vector; obtaining the force of the slapping action based on the detection data and the scene data includes: Based on the detection data and the scene data, a preset machine learning algorithm is applied to filter out accidental touches; The pressure feature vector and vibration feature vector are obtained based on the detection data, and the scene feature vector is determined based on the scene data, wherein the vibration feature vector includes the frequency and amplitude of the slapping action; The force of the slapping action is obtained by weighted summation of the pressure feature vector, the vibration feature vector, and the scene feature vector.

3. The method according to claim 2, characterized in that, The scene data includes vehicle speed, steering wheel angle, and ambient light intensity; the step of applying a preset machine learning algorithm to filter accidental touches based on the detection data and the scene data includes: Based on the detection data and the scene data, the following processing is performed using machine learning algorithms: Detection data where the slope of the rising edge of the filter pressure is less than or equal to the reference slope; When the vehicle speed is greater than the reference vehicle speed, the reference threshold is increased by a preset ratio; The detection data that matches the historical detection data of the historical slapping action is selected.

4. The method according to claim 1, characterized in that, The tapping response event is at least one of the following: vehicle function control event, tapping permission control event, linkage device control event, third-party application operation event, and feedback method control event.

5. The method according to claim 1, characterized in that, The acquisition of detection data based on the tapping motion at the edge of the vehicle's central control screen via a sensor system includes: The pressure signal is obtained by sensing the user's patting action through a multi-channel piezoresistive array set at the edge of the vehicle's central control screen; The frequency and amplitude of the vibrations caused by the slapping motion are captured by a six-axis inertial measurement unit connected to the piezoresistive array. The pressure signal, the frequency, and the amplitude are combined to obtain detection data, which is then transmitted via a magnetic PIN interface.

6. The method according to claim 1, characterized in that, The acquisition of detection data based on the tapping motion at the edge of the vehicle's central control screen via a sensor system includes: The detection data is obtained by using a piezoelectric ceramic sensor located on the edge of the vehicle's central control screen to detect the user's patting motion; The detection data transmitted by the flexible circuit board connected to the piezoelectric ceramic sensor is acquired.

7. The method according to claim 6, characterized in that, The method further includes: The mechanical energy of the slapping motion is converted into alternating current through the piezoelectric ceramic sensor. The alternating current is converted into direct current and stored.

8. The method according to claim 1, characterized in that, The method further includes: A graphical interface is displayed on the vehicle's infotainment system. The first display area of ​​the graphical interface displays the edge area of ​​the vehicle's central control screen, and the second display area of ​​the graphical interface displays preset function icons. Each preset function icon corresponds to a tap response event. Control any preset function icon in the second display area to move to the first display area, and match the tapping action corresponding to the preset function icon.

9. A tapping control device for a vehicle central control screen, applied to a vehicle controller, characterized in that, The tapping control device for the vehicle's central control screen includes: The data acquisition module is used to acquire scene data of vehicle driving and to acquire detection data of patting action based on the edge of the vehicle's central control screen through the sensor system. The action recognition module is used to identify the action type of the slapping action based on the detection data and the scene data; An action response module is used to acquire a slapping response event that matches the action type and execute the slapping response event; The action recognition module is further configured to: determine the position information of the slapping action based on the detection data; obtain the action force of the slapping action based on the detection data and the scene data; determine whether the slapping action is valid by comparing the action force with a reference threshold; determine the number of valid slapping actions within a preset time based on the detection data; and if the slapping action is valid, identify the action type of the slapping action based on the position information, the number of actions, and the action force.

10. A vehicle, characterized in that, The vehicles include: Memory, used to store executable program code; A processor is configured to call and run the executable program code from the memory, such that the processor performs the tapping control method for the vehicle central control screen as described in any one of claims 1-8.

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