Wireless micro-current haptic feedback game control device interaction method and system

Abstract

The application relates to the technical field of computers and discloses a wireless micro-current tactile feedback game control device interaction method and system, which comprises the following steps: constructing an interaction feature matrix of user operation data and game scene data; generating a wireless micro-current control signal of a game control device through the interaction feature matrix and determining a body surface stimulation partition of the game control device; setting a stimulation combination mode of the wireless micro-current control signal and the body surface stimulation partition according to a game scene type and user operation preferences; extracting a response delay parameter and a stimulation coverage index in the stimulation combination mode, calculating a stimulation deviation value of the wireless micro-current control signal; calculating a tactile feedback threshold value corresponding to the game control device by using the stimulation deviation value; and generating a micro-current tactile feedback scheme of the game control device by combining the stimulation combination mode and the tactile feedback threshold value. The application can significantly improve the game immersion of users.

Description

Technical Field

[0001] This invention relates to a wireless microcurrent haptic feedback game control device interaction method and system, belonging to the field of computer technology. Background Technology

[0002] A gaming control device is a gaming aid that integrates multiple interactive components to capture user operation commands and action information in real time. It integrates a high-sensitivity operation sensor, a wireless communication module, and an intelligent processing chip, and can improve the user's control accuracy and immersion in different game scenarios through buttons, joysticks, motion sensing, and other methods. Therefore, it is widely used in home entertainment games, professional e-sports competitions, and game development and testing.

[0003] However, existing game control devices, such as game controllers, mainly rely on fixed button mapping and simple signal transmission to enable users to control game characters. While this method can meet users' basic game interaction needs, it cannot capture dynamic physical stimuli during the game in real time and provide synchronous feedback to the user's body, resulting in a significant decrease in the user's game immersion.

[0004] Therefore, there is an urgent need for a solution that can significantly enhance users' gaming immersion. Summary of the Invention

[0005] This invention provides a wireless microcurrent haptic feedback game control device interaction method and system, the main purpose of which is to significantly enhance the user's game immersion.

[0006] To achieve the above objectives, the present invention provides an interactive method for a wireless microcurrent haptic feedback game control device, comprising:

[0007] Collect user operation data and game scene data from game control devices, and construct an interaction feature matrix of the user operation data and game scene data;

[0008] Based on the interaction feature matrix, a wireless microcurrent control signal for the game control device is generated, and the surface stimulation zones of the game control device are determined.

[0009] The game scene type corresponding to the game scene data and the user operation preference corresponding to the user operation data are parsed out. Based on the game scene type and the user operation preference, the stimulation combination mode of the wireless microcurrent control signal and the body surface stimulation zone is set.

[0010] Extract the response delay parameter and stimulus coverage index from the stimulus combination method, and calculate the stimulus deviation value of the wireless microcurrent control signal based on the response delay parameter and the stimulus coverage index.

[0011] Based on the stimulation deviation value, the electrode distribution density and stimulation intensity attenuation coefficient of the stimulation zone on the body surface are determined, and the tactile feedback threshold corresponding to the game control device is calculated based on the electrode distribution density and the stimulation intensity attenuation coefficient.

[0012] By combining the stimulation combination method and the tactile feedback threshold, a microcurrent tactile feedback scheme for the game control device is generated.

[0013] Optionally, generating the wireless microcurrent control signal for the game control device based on the interaction feature matrix includes:

[0014] Obtain real-time operation-scene coupling data corresponding to the interaction feature matrix to identify the operation-scene pattern corresponding to the interaction feature matrix;

[0015] Analyze the haptic feedback requirements in the aforementioned operation-scene mode;

[0016] Based on the aforementioned tactile feedback requirements, a microcurrent stimulation array layout is set for the game control device.

[0017] Based on the microcurrent stimulation array layout, the current regulation module, frequency control module, area switching module and wireless communication module corresponding to the game control device are integrated to form an infinite microcurrent generator.

[0018] Based on the real-time operation-scene coupling data, the current tactile feedback mode of the infinite microcurrent generator is determined;

[0019] Based on the current tactile feedback mode, define the parameter adaptive mapping strategy of the infinite microcurrent generator;

[0020] Based on the parameter adaptive mapping strategy, a wireless micro-current control signal for the game control device is generated.

[0021] Optionally, according to the microcurrent stimulation array layout, an infinite microcurrent generator for the game control device is integrated, comprising:

[0022] By utilizing the spatial distribution characteristics of the microcurrent stimulation array layout, the current output channel and stimulation point corresponding to the game control device are determined;

[0023] Based on the current output channel and the stimulation point, the current regulation module of the game control device is set up;

[0024] Identify the stimulation intensity requirements corresponding to the microcurrent stimulation array layout, and set the adjustable frequency range corresponding to the microcurrent stimulation array layout.

[0025] According to the adjustable frequency range, deploy the frequency control module of the game control device;

[0026] Define the partition switching conditions and response time of the microcurrent stimulation array layout to set the area switching module of the game control device;

[0027] Query the wireless communication protocol of the game control device in order to deploy the wireless communication module of the game control device;

[0028] The current regulation module, the frequency control module, the area switching module, and the wireless communication module are integrated to form an infinite microcurrent generator.

[0029] Optionally, determining the surface stimulation zones of the game control device based on the interaction feature matrix includes:

[0030] Decouple the operation feature vector space and the environment state tensor space in the interaction feature matrix;

[0031] By leveraging the spatiotemporal coupling relationship between the operational feature vector space and the environmental state tensor space, a surface stimulation topology mapping network corresponding to the game control device is constructed.

[0032] Identify the tactile sensitive areas corresponding to the surface stimulation topology mapping network, and extract the response characteristic parameters of the tactile sensitive areas;

[0033] Using the operation frequency sensitivity, pressure feedback threshold, and spatiotemporal correlation factor in the response characteristic parameters, the partitioning criteria of the tactile sensitive area are defined.

[0034] The surface stimulation zones of the game control device are determined by the partitioning criteria.

[0035] Optionally, constructing the surface stimulus topology mapping network corresponding to the game control device through the spatiotemporal coupling relationship between the operation feature vector space and the environmental state tensor space includes:

[0036] Extract the spatiotemporal correlation feature parameters in the spatiotemporal coupling relationship, and construct the multidimensional stimulus mapping domain corresponding to the spatiotemporal correlation feature parameters;

[0037] Calculate the dimensionality matching degree between the operation feature vector space and the environment state tensor space;

[0038] Based on the dimensional matching degree, the graph structure generation paradigm corresponding to the multidimensional stimulus mapping domain is selected;

[0039] The node edge weights of the multidimensional stimulus mapping domain are calculated using the dynamic change rate of the spatiotemporal coupling relationship.

[0040] By combining the graph structure generation paradigm and the node edge weights, a body surface stimulus topology mapping network corresponding to the game control device is constructed.

[0041] Optionally, calculating the stimulation deviation value of the wireless microcurrent control signal based on the response delay parameter and the stimulation coverage index includes:

[0042] Collect historical change data corresponding to the response delay parameter to define the dynamic time weighting factor of the response delay parameter;

[0043] Determine the spatial calibration coefficient and coverage density corresponding to the stimulus coverage index;

[0044] Combining the dynamic time weighting factor, the spatial correction coefficient, and the coverage density, the stimulation deviation value of the wireless microcurrent control signal is calculated using the following formula:

[0045]

[0046] in, This indicates the stimulation deviation value of the wireless microcurrent control signal. Represents the dynamic time weighting factor. This represents the response delay parameter. This indicates the reference time corresponding to the response delay parameter. Indicates the delay effect coefficient. Indicators representing stimulus coverage This represents the spatial calibration coefficient corresponding to the stimulus coverage index. Indicates the coverage deviation coefficient. This indicates the coverage density corresponding to the stimulus coverage index. This indicates the baseline coverage density.

[0047] Optionally, constructing the interaction feature matrix of the user operation data and the game scene data includes:

[0048] Analyze the user interaction feature vector in the user operation data and the virtual environment state tensor in the game scene data;

[0049] Establish a real-time mapping relationship between the user interaction feature vector and the virtual environment state tensor to define matrix construction rules;

[0050] Extract the time series of each user interaction feature vector and the temporal evolution data of each virtual environment state tensor;

[0051] Based on the time series and the temporal evolution data, calculate the instantaneous correlation degree and continuous coupling duration between the user interaction feature vector and the virtual environment state tensor;

[0052] Analyze the state transition trends corresponding to the user interaction feature vector and the virtual environment state tensor;

[0053] By combining the instantaneous correlation, the duration of continuous coupling, and the state transition trend, dynamic matrix elements are generated;

[0054] Based on the matrix construction rules and the dynamic matrix elements, an interaction feature matrix is ​​constructed for the user operation data and the game scene data.

[0055] Optionally, the step of setting the stimulation combination of the wireless microcurrent control signal and the body surface stimulation zone according to the game scene type and the user's operation preference includes:

[0056] Simultaneously acquire scene feature data and user behavior data corresponding to the game scene type and the user operation preferences;

[0057] Key scene feedback indicators are extracted from the scene feature data to determine the feasible domain of the stimulation parameters of the wireless microcurrent control signal.

[0058] Personalized operation features are extracted from the user behavior data to generate physiological response adaptation coefficients for the body surface stimulation zones.

[0059] Based on the feasible region of the stimulation parameters and the physiological response adaptation coefficient, the synergistic effect rule of the wireless microcurrent control signal and the body surface stimulation zone is defined;

[0060] Based on the aforementioned synergistic effect rules, the stimulation combination of the wireless microcurrent control signal and the body surface stimulation zone is set.

[0061] Optionally, calculating the haptic feedback threshold corresponding to the game control device based on the electrode distribution density and the stimulation intensity attenuation coefficient includes:

[0062] Identify the application scenarios and target user group characteristics of the game control device;

[0063] Obtain the operation response requirements of the application scenario and the tactile perception capability parameters corresponding to the characteristics of the target user group;

[0064] Based on the operation response requirements, the feedback accuracy level of the game control device under different application scenarios is determined;

[0065] Based on the tactile perception ability parameters and the application scenario, identify the stimulation intensity perception threshold value of the user group at different feedback accuracy levels;

[0066] Based on the stimulation intensity perception threshold, establish the correlation between the electrode distribution density and the stimulation intensity attenuation coefficient;

[0067] Based on the aforementioned correlation, the perception adjustment coefficient of the game control device under different application scenarios is determined;

[0068] The tactile feedback threshold corresponding to the game control device is calculated by combining the perception adjustment coefficient, the electrode distribution density, and the stimulation intensity attenuation coefficient.

[0069] To address the aforementioned problems, the present invention also provides a wireless microcurrent haptic feedback game control device interaction system, the system comprising:

[0070] The feature extraction module is used to collect user operation data and game scene data from the game control device, and construct an interaction feature matrix of the user operation data and the game scene data;

[0071] The partition control module is used to generate a wireless microcurrent control signal for the game control device based on the interaction feature matrix, and to determine the body surface stimulation partition of the game control device.

[0072] The combined control module is used to parse the game scene type corresponding to the game scene data and the user operation preference corresponding to the user operation data, and set the stimulation combination mode of the wireless microcurrent control signal and the body surface stimulation zone according to the game scene type and the user operation preference.

[0073] The deviation calibration module is used to extract the response delay parameter and the stimulus coverage index in the stimulus combination method, and calculate the stimulus deviation value of the wireless microcurrent control signal based on the response delay parameter and the stimulus coverage index.

[0074] The signal feedback module is used to determine the electrode distribution density and stimulation intensity attenuation coefficient of the stimulation zone on the body surface according to the stimulation deviation value, and to calculate the tactile feedback threshold corresponding to the game control device based on the electrode distribution density and the stimulation intensity attenuation coefficient.

[0075] The result output module is used to combine the stimulus combination method and the tactile feedback threshold to generate the microcurrent tactile feedback scheme of the game control device.

[0076] Compared to the problems described in the background art, the embodiments of the present invention, by constructing an interaction feature matrix of the user operation data and the game scene data, can break the data isolation between user operation data and game scene data, reveal the correlation patterns between the two in different game contexts, and enhance the adaptability and feedback matching degree of the game control device to diverse game interaction scenarios. Furthermore, by determining the surface stimulation zones of the game control device based on the interaction feature matrix, the embodiments of the present invention can achieve spatially differentiated output of tactile feedback, improve the feedback fineness in complex game interaction scenarios, and enhance the realism of tactile interaction during gameplay. By generating wireless microcurrent control signals for the game control device based on the interaction feature matrix, the embodiments of the present invention can enhance the immersion and matching degree of tactile interaction for the game operator during gameplay, creating a precise and synchronized game tactile experience for the game operator. Furthermore, by setting the stimulation combination mode of the wireless microcurrent control signal and the surface stimulation zones according to the game scene type and the user operation preferences, the embodiments of the present invention can achieve dynamic adaptation of the tactile feedback signal with game interaction needs and user perception habits, thereby significantly improving the wireless microcurrent tactile feedback. This invention improves the interactive effectiveness and user experience quality of game control devices by calculating the stimulation deviation value of the wireless microcurrent control signal based on the response delay parameter and the stimulation coverage index. This enhances the interactive accuracy and adaptability of wireless microcurrent tactile feedback and strengthens the dynamic adjustment capability of the wireless microcurrent tactile feedback game control device to diverse game scenarios and user operation needs. Furthermore, this invention calculates the tactile feedback threshold corresponding to the game control device based on the electrode distribution density and the stimulation intensity attenuation coefficient. This improves the accuracy of the tactile feedback signal matching the user's operation intention and enhances the consistency of feedback perception and user operation comfort in different game scenarios by dynamically calibrating the threshold parameter range. Finally, this invention generates a microcurrent tactile feedback scheme for the game control device by combining the stimulation combination method and the tactile feedback threshold. This not only significantly enhances the user's game immersion, allowing the user to perceive the dynamic physical stimulation of the game world in real time during operation, but also dynamically adjusts the intensity, range, and timing of feedback according to the game scene type and user operation preferences, thereby effectively enhancing the realism and accuracy of game interaction. Therefore, the wireless microcurrent haptic feedback game control device interaction method and system provided by the embodiments of the present invention can significantly enhance the user's game immersion. Attached Figure Description

[0077] Figure 1 This is a flowchart illustrating an interactive method for a wireless microcurrent haptic feedback game control device according to an embodiment of the present invention.

[0078] Figure 2This is a schematic diagram of the microcurrent stimulation array layout for an interactive method of a wireless microcurrent haptic feedback game control device provided in an embodiment of the present invention.

[0079] Figure 3 This is a schematic diagram of the surface stimulation for game control provided in an embodiment of the present invention to implement the wireless microcurrent haptic feedback game control device interaction method;

[0080] Figure 4 This is a functional block diagram of an embodiment of the present invention for implementing a wireless microcurrent haptic feedback game control device interaction system.

[0081] The objectives, features, and advantages of this invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0082] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0083] This application provides a wireless microcurrent haptic feedback game control device interaction method. The execution subject of this wireless microcurrent haptic feedback game control device interaction method includes, but is not limited to, at least one of the following electronic devices that can be configured to execute the method provided in this application embodiment: a server, a terminal, etc. In other words, the wireless microcurrent haptic feedback game control device interaction method can be executed by software or hardware installed on a terminal device or a server device. The server includes, but is not limited to, a single server, a server cluster, a cloud server, or a cloud server cluster.

[0084] Reference Figure 1 The diagram shown is a flowchart illustrating an interaction method for a wireless microcurrent haptic feedback game control device according to an embodiment of the present invention. In this embodiment, the wireless microcurrent haptic feedback game control device interaction method includes:

[0085] S1. Collect user operation data and game scene data from the game control device, and construct an interaction feature matrix of the user operation data and the game scene data.

[0086] This invention, through the collection of user operation data and game scene data from game control devices, can accurately capture user operation preferences and behavioral characteristics. This makes the wireless microcurrent haptic feedback of the game control device more aligned with the user's operating rhythm and perceptual habits. The game control device refers to the hardware device through which the game operator interacts with the game system, such as a game controller, game joystick, VR controller, keyboard, and mouse. The user operation data refers to various operation information generated by the game operator during the use of the game control device, collected by pressure sensors, angle sensors, acceleration sensors, etc., built into the game control device. This includes button pressure, joystick deflection angle, operation frequency, button duration, different button combinations, and changes in operation speed. The game scene data refers to various information presented in the virtual world within the game, collected through the game engine's data interface during game operation. This includes game character actions, scene physical characteristics, plot progress, environmental changes in the game scene (such as weather and day / night cycles), interaction states between characters, obstacle distribution, and mission objective locations.

[0087] Furthermore, by constructing an interaction feature matrix of the user operation data and the game scene data, this embodiment of the invention can break the data isolation between the user operation data and the game scene data, reveal the correlation patterns between the two in different game scenarios, and enhance the adaptability and feedback matching degree of the game control device to diverse game interaction scenarios. The interaction feature matrix refers to a data structure that systematically associates and integrates user operation data and game scene data.

[0088] As an embodiment of the present invention, constructing the interaction feature matrix of the user operation data and the game scene data includes:

[0089] Analyze the user interaction feature vector in the user operation data and the virtual environment state tensor in the game scene data;

[0090] Establish a real-time mapping relationship between the user interaction feature vector and the virtual environment state tensor to define matrix construction rules;

[0091] Extract the time series of each user interaction feature vector and the temporal evolution data of each virtual environment state tensor;

[0092] Based on the time series and the temporal evolution data, calculate the instantaneous correlation degree and continuous coupling duration between the user interaction feature vector and the virtual environment state tensor;

[0093] Analyze the state transition trends corresponding to the user interaction feature vector and the virtual environment state tensor;

[0094] By combining the instantaneous correlation, the duration of continuous coupling, and the state transition trend, dynamic matrix elements are generated;

[0095] Based on the matrix construction rules and the matrix dynamic elements, an interaction feature matrix of the user operation data and the game scene data is constructed.

[0096] The user interaction feature vector refers to a multi-dimensional feature set representing user operation behavior, including dimensions such as operation type, intensity, and frequency. For example, in a shooting game, the vector can be represented as: shooting button press duration (0.8s), scope movement speed (120° / s), and character movement direction (30°). The virtual environment state tensor refers to a tensor structure used to represent the multi-dimensional dynamic state of the virtual environment in the game scene data. Its dimensions include the spatial attributes of the virtual environment (such as terrain and object position), entity state (such as NPC position and item quantity), and environmental parameters (such as lighting and weather). The real-time mapping relationship refers to the dynamic correspondence between the user interaction feature vector and the virtual environment state tensor in the time dimension. For example, in a racing game, the real-time mapping relationship between the user's "steering wheel angle vector" and the "vehicle trajectory state tensor" can be defined as: for every 10° increase in steering angle, the x-axis offset of the vehicle trajectory in the spatial tensor increases by 0.5 m / s. The matrix construction rule refers to specifying the dimensions, element value range, and update of the interaction feature matrix based on the mapping relationship between the user interaction feature vector and the virtual environment state tensor. The algorithmic logic includes the following rules: "The matrix row dimension corresponds to the user interaction feature type (e.g., movement, attack), and the column dimension corresponds to the virtual environment state category (e.g., terrain, enemy)"; "The element value range is limited to [0,1], representing the correlation strength"; "The matrix elements are updated every 50ms"; the time series refers to a discrete sequence of user operation features sorted by timestamps, for example, a throttle pressure sequence of 5 consecutive frames [0.2, 0.5, 0.7, 0.8, 0.8] (each frame interval 50ms); the temporal evolution data refers to the virtual environment... An ordered data sequence of state tensors that dynamically changes over time is used to record the continuous evolution of the virtual environment's state. For example, in a survival game, the temporal evolution data of the "environmental temperature state tensor" can be [(t0, 25℃), (t1, 23℃), (t2, 20℃)], reflecting the decreasing temperature trend over time. The instantaneous correlation refers to the correlation coefficient between user operation characteristics and environmental state parameters at a specific moment. For example, in a puzzle game, the instantaneous correlation between the user's interaction vector clicking the "switch" and the "door opening / closing state tensor" at time t5 is 0.9 indicates that the operation has a very strong immediate impact on the gate state; the continuous coupling duration refers to the continuous time length during which the user's operation characteristics and the environmental state maintain a significant correlation (e.g., correlation degree > threshold). For example, in a flight simulation game, the continuous coupling duration between the user's "climb operation vector" and the "aircraft altitude state tensor" is 3 seconds, indicating that the operation's impact on the aircraft altitude lasts for 3 seconds; the state transition trend refers to the predicted direction and probability distribution of the state changes of the user interaction feature vector and the virtual environment state tensor over a future period, based on time series and temporal evolution data. For example, in a role-playing game, by analyzing the time series of the user's "skill release vector" and the temporal evolution data of the "BOSS health value tensor," a state transition trend of "increased skill release intensity → accelerated BOSS health value decrease" can be predicted within the next 5 seconds.

[0097] Optionally, the user interaction feature vector in the user operation data can be determined using a sliding window feature extraction algorithm; the virtual environment state tensor in the game scene data can be parsed using a Transformer model; the real-time mapping relationship between the user interaction feature vector and the virtual environment state tensor can be established using a Bayesian network model; the instantaneous correlation between the user interaction feature vector and the virtual environment state tensor can be calculated using the Pearson correlation coefficient method; and the state transition trend corresponding to the user interaction feature vector and the virtual environment state tensor can be analyzed using a Markov decision model.

[0098] S2. Based on the interaction feature matrix, generate the wireless microcurrent control signal of the game control device, and determine the body surface stimulation zone of the game control device.

[0099] This invention generates a wireless microcurrent control signal for the game control device based on the interactive feature matrix, which can enhance the immersion and matching degree of tactile interaction for the game operator during the game, and create a precise and synchronized game tactile experience for the game operator. The wireless microcurrent control signal refers to a set of instructions generated based on the interactive feature matrix and a series of processing steps, used to control the wireless microcurrent generator of the game control device to perform specific tactile feedback operations.

[0100] As an embodiment of the present invention, generating the wireless micro-current control signal for the game control device based on the interaction feature matrix includes:

[0101] Obtain real-time operation-scene coupling data corresponding to the interaction feature matrix to identify the operation-scene pattern corresponding to the interaction feature matrix;

[0102] Analyze the haptic feedback requirements in the aforementioned operation-scene mode;

[0103] Based on the aforementioned tactile feedback requirements, a microcurrent stimulation array layout is set for the game control device.

[0104] Based on the microcurrent stimulation array layout, an infinite microcurrent generator for the game control device is integrated.

[0105] Based on the real-time operation-scene coupling data, the current tactile feedback mode of the infinite microcurrent generator is determined;

[0106] Based on the current tactile feedback mode, define the parameter adaptive mapping strategy of the infinite microcurrent generator;

[0107] Based on the parameter adaptive mapping strategy, a wireless micro-current control signal for the game control device is generated.

[0108] The real-time operation-scene coupling data refers to a quantitative dataset reflecting the spatiotemporal coupling relationship between user operation characteristics and virtual environment state. It includes time-aligned operation parameters and environment state parameters. For example, in racing games, real-time operation-scene coupling data may include real-time correlation information such as "user steering wheel angle (30°), current road surface friction coefficient (0.8), vehicle slippage degree (0.2), operation and scene correlation degree (0.9)". The operation-scene pattern refers to a typical pattern of user operation and game scene interaction with specific rules identified based on the real-time operation-scene coupling data. For example, in action games, "continuous taps of the attack button + enemy defensive state" This can be identified as a "rapid suppression-defense standoff mode," which is a typical operation-scenario mode. The tactile feedback requirement characteristics refer to the set of characteristic parameters derived from the operation-scenario mode analysis, used to define the type, intensity, and range of tactile feedback that the game control device should provide. For example, in the "gun recoil-hit target mode" of a shooting game, the tactile feedback requirement characteristics can be defined as "pulsating vibration (frequency 50Hz), intensity increasing with bullet power (0.3-0.8mA), covering the grip area of ​​the controller." The microcurrent stimulation array layout refers to the spatial arrangement of microcurrent stimulation units on the surface of the game control device (such as a controller or touchscreen) according to a preset rule. The structure includes the number, position, range of action, and combination of stimulation units. For example, the microcurrent stimulation array layout of a game controller can be designed as a "3×3 array on the left grip (responsible for movement feedback) and a 2×2 array on the right button area (responsible for attack feedback)," with each array unit corresponding to a specific tactile feedback area. The wireless microcurrent generator refers to a portable electronic device that integrates a current regulation module, a frequency control module, a region switching module, and a wireless communication module, and can dynamically output microcurrent stimulation signals according to the game scene and user operation to provide tactile feedback to the user. The wireless microcurrent generator adapted for mobile games can be designed as a patch type, receiving game data via Bluetooth and responding to user operation. When the character jumps, a pulsed current is output to simulate the landing vibration. The current tactile feedback mode refers to the specific tactile feedback type that the infinite microcurrent generator should adopt at the current moment, determined based on real-time operation-scene coupling data. This includes continuous vibration mode, pulse stimulation mode, and regional differentiated mode. For example, in a puzzle game, when the user's character approaches a hidden item, a low-frequency continuous vibration mode is triggered, and when the correct item is clicked, it switches to a high-frequency pulse stimulation mode. The parameter adaptive mapping strategy refers to a set of rules that dynamically adjust the current intensity, frequency, and effective area of ​​the infinite microcurrent generator based on the current tactile feedback mode, so that the feedback effect matches the operation-scene mode in real time.

[0109] Optionally, the operation-scene pattern corresponding to the interaction feature matrix can be identified using a clustering algorithm; the current tactile feedback mode of the infinite microcurrent generator can be determined using a rule-based decision tree model; and the parameter adaptive mapping strategy of the infinite microcurrent generator can be defined using a fuzzy logic control algorithm.

[0110] To visually demonstrate the specific setup of the microcurrent stimulation array described above, please refer to... Figure 2 The diagram shown is a schematic diagram of the microcurrent stimulation array layout of a wireless microcurrent haptic feedback game control device interaction method according to an embodiment of the present invention. The dots distributed on the surface of the handle in the diagram represent the points of the microcurrent stimulation array. This diagram can be used to present the microcurrent stimulation distribution structure set on the handle according to the needs of the game interaction scenario. It is a visual representation of the microcurrent stimulation array layout step in the process of "generating wireless microcurrent control signals based on the interaction feature matrix". It helps to understand the specific arrangement of microcurrent stimulation on the handle and provides a hardware layout reference for subsequent construction of wireless microcurrent generators, definition of feedback modes and control strategies.

[0111] As another embodiment of the present invention, the infinite microcurrent generator integrating the game control device according to the microcurrent stimulation array layout includes:

[0112] By utilizing the spatial distribution characteristics of the microcurrent stimulation array layout, the current output channel and stimulation point corresponding to the game control device are determined;

[0113] Based on the current output channel and the stimulation point, the current regulation module of the game control device is set up;

[0114] Identify the stimulation intensity requirements corresponding to the microcurrent stimulation array layout, and set the adjustable frequency range corresponding to the microcurrent stimulation array layout.

[0115] According to the adjustable frequency range, deploy the frequency control module of the game control device;

[0116] Define the partition switching conditions and response time of the microcurrent stimulation array layout to set the area switching module of the game control device;

[0117] Query the wireless communication protocol of the game control device in order to deploy the wireless communication module of the game control device;

[0118] The current regulation module, the frequency control module, the area switching module, and the wireless communication module are integrated to form an infinite microcurrent generator.

[0119] The spatial distribution characteristics refer to the physical arrangement attributes of the microcurrent stimulation array on the surface of the gaming control device, including the number, position coordinates, spacing, arrangement form (such as matrix, ring, distributed), and spatial relationship of each unit. The current output channel refers to the independent circuit path connecting the microcurrent generator to the stimulation points. Each channel corresponds to a specific stimulation point or a set of associated points, used to individually transmit and control the microcurrent signal on that path, achieving precise current supply and control for different stimulation points. The stimulation point refers to the physical contact point on the surface of the gaming control device that can output microcurrent to generate tactile feedback; it is the point of contact between the microcurrent stimulation and the human body, and its location... The quantity is determined by the layout of the microcurrent stimulation array; the current control module refers to the hardware module in the infinite microcurrent generator used to adjust the output intensity, waveform, and duration of the microcurrent, which can dynamically adjust the current parameters according to the input signal to match the tactile feedback requirements; the stimulation intensity requirement refers to the specific requirements for the threshold range, dynamic change amplitude, and effect of the current intensity output at each point in the microcurrent stimulation array according to the game interaction scenario (such as collision, vibration, texture tactile sensation, etc.) and operation characteristics, used to match the tactile feedback intensity perception under different scenarios; the adjustable frequency range refers to the microcurrent signal oscillation frequency range that the frequency control module can adjust, and this range needs to cover various tactile sensations required in game interaction. Feedback is provided at corresponding frequency characteristics (e.g., 5-50Hz corresponds to low-frequency vibration, 50-200Hz to mid-frequency tactile sensation, 200-1000Hz to high-frequency tingling sensation, etc.) to achieve diverse tactile experiences. The frequency control module is a hardware module used to adjust the oscillation frequency of the microcurrent stimulation signal, achieving different frequencies of tactile feedback (e.g., low frequency corresponds to vibration, high frequency corresponds to tingling sensation) by controlling the interval time of the current pulses. The partition switching condition refers to specific rules or events that trigger the partition switching module to activate, deactivate, or switch different partitions in the microcurrent stimulation array, usually based on changes in the game scene (e.g., a character entering different terrains), operation commands (e.g., pressing a specific button), or interactive features. The state parameters in the feature matrix (such as the operating force exceeding the threshold) are set; the response time refers to the time interval required for the region switching module to complete the switching of the stimulation region from receiving the switching command; the region switching module refers to the hardware module used to control the activation state of different regions in the microcurrent stimulation array, which can switch or combine different stimulation unit regions according to feedback requirements to achieve local or global tactile feedback; the wireless communication protocol refers to a set of rules and conventions used to standardize wireless data transmission between the game control device and the wireless microcurrent generator or between the generator and an external control terminal (such as a game console or server), including data format, transmission rate, verification method, connection establishment and disconnection mechanism, encryption algorithm, etc.The wireless communication module refers to the module used to realize data transmission between the game console (or terminal) and the wireless microcurrent generator. It supports real-time reception of operation-scene coupling data and transmission of device status information. It can use wireless protocols such as Bluetooth and Wi-Fi. For example, a wireless communication module using the Bluetooth 5.0 protocol can achieve low-latency data transmission (latency <20ms) within a 10-meter range, ensuring that the microcurrent feedback is synchronized with the game scene.

[0120] Optionally, the adjustable frequency range corresponding to the microcurrent stimulation array layout can be set using reinforcement learning algorithms, such as the SAC algorithm; the partition switching conditions of the microcurrent stimulation array layout can be defined using a feature matching algorithm based on cosine similarity, specifically by: extracting game scene features (such as character state, environmental interaction events) and operation features (such as button combinations, operation duration) corresponding to the game control device, and constructing a multi-dimensional feature vector; then, using a feature matching algorithm based on cosine similarity, comparing the real-time feature vector with a preset typical scene-operation template, and triggering the corresponding partition switching rule when the matching degree exceeds a set threshold; the response time of the microcurrent stimulation array layout can be defined using a delay optimization algorithm, such as a task scheduling algorithm based on dynamic programming.

[0121] Furthermore, this embodiment of the invention determines the surface stimulation zones of the game control device based on the interaction feature matrix, which can achieve spatially differentiated output of tactile feedback, improve the subtlety of feedback in complex game interaction scenarios, and enhance the realism of tactile interaction during the game. The surface stimulation zones refer to multiple independent areas with specific feedback functions in the body surface area where the game control device contacts the human body (such as the palm, fingers, arms, etc. that are in contact with or adjacent to the device), based on the correlation rules of operation-scene modes in the interaction feature matrix. For example, on a game controller held with both hands, the joystick area touched by the left thumb can be divided into the "directional control feedback zone", which mainly responds to scene feedback corresponding to operations such as character movement and view rotation; the trigger button area touched by the right index finger can be divided into the "attack / action feedback zone", which specifically corresponds to the tactile sensations such as collision and recoil caused by operations such as shooting and slashing.

[0122] As an embodiment of the present invention, determining the surface stimulation zones of the game control device based on the interaction feature matrix includes:

[0123] Decouple the operation feature vector space and the environment state tensor space in the interaction feature matrix;

[0124] By leveraging the spatiotemporal coupling relationship between the operational feature vector space and the environmental state tensor space, a surface stimulation topology mapping network corresponding to the game control device is constructed.

[0125] Identify the tactile sensitive areas corresponding to the surface stimulation topology mapping network, and extract the response characteristic parameters of the tactile sensitive areas;

[0126] Using the operation frequency sensitivity, pressure feedback threshold, and spatiotemporal correlation factor in the response characteristic parameters, the stimulation partitioning criteria of the tactile sensitive area are defined.

[0127] The stimulation zones on the body surface of the game control device are determined by the stimulation zone division criteria.

[0128] The operation feature vector space refers to a multi-dimensional mathematical space composed of all dimensions of the user interaction feature vector (such as operation type, force, frequency, spatial coordinates, etc.), used to systematically describe all feature dimensions of user operations. For example, in mobile game operations, the operation feature vector space may include four dimensions: [touchscreen click coordinates (x, y), pressure (F), duration (t), and sliding speed (v)], forming a 4-dimensional vector space to comprehensively cover the feature range of touchscreen operations. The environment state tensor space refers to a high-order tensor space composed of all dimensions of the virtual environment state tensor (such as spatial coordinates, entity attributes, environmental parameters, time evolution, etc.), used to completely represent... The game scene is characterized by multidimensional dynamic states. For example, in an open-world game, the environment state tensor space can contain [three-dimensional coordinates (x, y, z), entity category (game operator / NPC / item), health / energy, timestamp (t)], forming a fourth-order tensor space to describe the spatiotemporal state of all entities in the scene; the spatiotemporal coupling relationship refers to the mutual dependence between the operation feature vector space and the environment state tensor space in the time and spatial dimensions; the surface stimulation topology mapping network refers to a topology network constructed based on the spatiotemporal coupling relationship, mapping the interaction relationship between the operation feature vector space and the environment state tensor space to the physical surface of the game control device; the tactile sensitivity... A "zone" refers to a physiological region on the user's body surface that produces a significant neural response to electrical stimulation. For example, the sensitivity of the fingertip area is 3.2 times that of the back of the hand area (measured through a two-point discrimination experiment). The response characteristic parameters refer to a set of quantitative parameters used to describe the response pattern of tactile sensitive areas to stimulus signals, including operation frequency sensitivity, pressure feedback threshold, and spatiotemporal correlation factors. The operation frequency sensitivity refers to the response intensity of the tactile sensitive area to changes in the user's operation frequency. It can be achieved by stimulating the user with a sinusoidally modulated operation frequency signal (5-50Hz) to collect the user's perception intensity score. Finally, the least squares method is used to fit the frequency-perception intensity curve, and the slope of the curve is the sensitivity. The pressure feedback threshold refers to the minimum stimulus pressure that the tactile sensitive area can stably perceive. It can be determined by using the limit method (gradually increasing the stimulus intensity from 0 and recording the intensity value that 50% of users can perceive) combined with an adaptive threshold algorithm (such as the Otsu algorithm). The spatiotemporal correlation factor refers to the degree of correlation between the stimulus signal of the tactile sensitive area and the user's operation in time and space. The value range is [0,1]. The closer the value is to 1, the higher the synchronicity and matching degree of the two in time and space. The stimulus partitioning criterion refers to the set of rules for dividing the body surface stimulus partitions based on response characteristic parameters, including region boundary conditions, partition merging / splitting thresholds, and region function mapping rules.

[0129] Optionally, the operation feature vector space and the environment state tensor space in the interaction feature matrix can be decoupled by principal component analysis (PCA); the spatiotemporal coupling relationship between the operation feature vector space and the environment state tensor space can be identified using the GRU neural network algorithm.

[0130] To clearly illustrate the overall process and logical connections between game control devices and surface stimulation, please refer to [reference needed]. Figure 3 The diagram shown is a schematic representation of a wireless microcurrent tactile feedback game control device interaction method according to an embodiment of the present invention. The diagram illustrates the complete interaction chain from the terminal (PC / mobile phone / tablet) to the input device (mouse, keyboard, game controller) and then to the microcurrent stimulation effect. It can help understand the implementation scenario of surface stimulation partitioning in the entire game control interaction system, and provide an intuitive process and architecture reference for subsequent steps such as constructing a topology mapping network based on the interaction feature matrix and identifying tactile sensitive areas.

[0131] As another embodiment of the present invention, the step of constructing the surface stimulus topology mapping network corresponding to the game control device through the spatiotemporal coupling relationship between the operation feature vector space and the environmental state tensor space includes:

[0132] Extract the spatiotemporal correlation feature parameters in the spatiotemporal coupling relationship, and construct the multidimensional stimulus mapping domain corresponding to the spatiotemporal correlation feature parameters;

[0133] Calculate the dimensionality matching degree between the operation feature vector space and the environment state tensor space;

[0134] Based on the dimensional matching degree, the graph structure generation paradigm corresponding to the multidimensional stimulus mapping domain is selected;

[0135] The node edge weights of the multidimensional stimulus mapping domain are calculated using the dynamic change rate of the spatiotemporal coupling relationship.

[0136] By combining the graph structure generation paradigm and the node edge weights, a body surface stimulus topology mapping network corresponding to the game control device is constructed.

[0137] The spatiotemporal correlation feature parameters refer to the quantitative indicators of the correlation between the operation feature vector space and the environmental state tensor space in the time and spatial dimensions, including but not limited to time synchronization parameters, spatial correlation coefficients, and feature interaction strength. The multidimensional stimulus mapping domain refers to the multidimensional parameter space that maps the operation features and environmental state of the game control device to the body surface stimulus partition, including dimensions such as stimulus type, stimulus intensity, stimulus location, and stimulus timing. The multidimensional stimulus mapping domain can be constructed based on ergonomics and stimulus perception experiments. The specific steps are: designing orthogonal experiments to collect user responses to different body surface stimuli (such as hands). The perception threshold and comfort range of wrist vibration frequency and plantar pressure magnitude are determined; principal component analysis (PCA) is used to reduce the dimensionality of the collected data to determine the core dimensions of the multidimensional stimulus mapping domain (such as stimulus intensity, location, and frequency); support vector machine (SVM) is used to divide the effective stimulus parameter intervals to form the boundary constraints of the mapping domain; the dimensionality matching degree refers to the degree of fit between the dimension of the operational feature vector space and the dimension of the environmental state tensor space, which is used to quantify the synergy of the two spaces in the feature dimension, and the value range is [0,1], with the closer the value is to 1, the better the dimensionality matching degree; the graph structure generation paradigm refers to the paradigm used to construct body surface stimulation. The graph structure template for the topology mapping network allows selection of different topology types (e.g., star, tree, mesh) based on dimensional matching, and defines the connection rules between nodes (stimulus units) and edges (stimulus associations) in the network. The dynamic change rate refers to the rate of change of the spatiotemporal coupling relationship over time. For example, in a shooting game, when the player quickly moves the crosshair (operational feature) and an enemy suddenly appears (environmental state), the dynamic change rate of the spatiotemporal coupling relationship may surge from 5 units / second to 20 units / second, reflecting the urgency of the scene. The node edge weight refers to the weight of the connection in the surface stimulus topology mapping network. The weight value of the edge of the node (stimulus unit) is used to characterize the correlation strength between different stimulus units. The larger the weight, the higher the priority of the stimulus linkage. The calculation formula of the node edge weight is: node edge weight = α × dynamic change rate + β × spatiotemporal correlation strength (α and β are weight coefficients, optimized by grid search). For example, in a racing game, when the road bump rate (dynamic change rate) is 15 units / second and the correlation strength between the steering wheel vibration and the seat vibration is 0.8, the edge weight of the corresponding node can be calculated as 0.7 × 15 + 0.3 × 0.8 = 10.74, indicating that the linkage stimulus of the two should be triggered first.

[0138] Optionally, the spatiotemporal correlation feature parameters in the spatiotemporal coupling relationship can be extracted using the Granger causality test; the dimensionality matching degree between the operation feature vector space and the environmental state tensor space can be calculated using the Jaccard coefficient; and the dynamic change rate of the spatiotemporal coupling relationship can be determined using the sliding window method.

[0139] S3. Parse the game scene type corresponding to the game scene data and the user operation preference corresponding to the user operation data, and set the stimulation combination mode of the wireless microcurrent control signal and the body surface stimulation zone according to the game scene type and the user operation preference.

[0140] This invention, by parsing the game scene data corresponding to the game scene type and the user operation data corresponding to the user operation preferences, can dynamically adapt to the real-time matching needs of game scene characteristics and user operation habits, improving the feedback accuracy and user operation immersion of wireless microcurrent haptic feedback game control devices in diverse game interaction scenarios. The game scene type refers to the scene category divided according to the game content characteristics, interaction logic, and environmental attributes in the game scene data. The scene categories are categorized by gameplay type: competitive (e.g., multiplayer shooting, MOBA), racing (e.g., racing cars, aircraft piloting), role-playing (e.g., story exploration, dungeon battles), and casual puzzle (e.g.,...). Examples of user operation preferences include: by environment (e.g., puzzle-solving, simulation management); by environment (e.g., combat scenes, melee combat), movement scenes (e.g., running, flying), and interaction scenes (e.g., item pickup, mechanism triggering); by tension level (e.g., high-tension scenes, countdown missions), and medium-to-low-tension scenes (e.g., free exploration, dialogue interaction); the user operation preferences refer to the stable operating habits and perceptual preferences exhibited by users during game interaction. For example, if a game operator is accustomed to quickly flicking the gun to aim in a shooting game (aggressive operation) and is sensitive to subtle feedback from gun recoil (high sensitivity), then the user operation preference of this game operator can be defined as "aggressive-high sensitivity-emphasis on intensity change" type.

[0141] Optionally, the game scene type corresponding to the game scene data can be parsed using a random forest model; the user operation preferences corresponding to the user operation data can be extracted using a long short-term memory network.

[0142] Furthermore, by setting the stimulation combination of the wireless microcurrent control signal and the surface stimulation zones according to the game scene type and the user's operation preferences, this embodiment of the invention can achieve dynamic adaptation of tactile feedback signals to game interaction needs and user perception habits, thereby significantly improving the interactive effectiveness and user experience quality of the wireless microcurrent tactile feedback game control device. The stimulation combination refers to the collaborative configuration mode of microcurrent signal parameters (intensity, frequency, duration, etc.) of different surface stimulation zones in the wireless microcurrent tactile feedback device. For example, for "racing game collision scene" and "aggressive high-sensitivity user", the stimulation combination can be configured as: dual-area linkage stimulation of the main palm area (high intensity + high frequency pulse) and the fingertip auxiliary area (medium intensity + synchronous fluctuation) to form a composite feedback of "core impact + detailed vibration"; for "role-playing dialogue scene" and "leisurely low-sensitivity user", it can be configured as: single stimulation of the thumb area (low intensity + continuous low frequency) to avoid interfering with the interactive experience.

[0143] As an embodiment of the present invention, the step of setting the stimulation combination mode of the wireless microcurrent control signal and the body surface stimulation zone according to the game scene type and the user operation preference includes:

[0144] Simultaneously acquire scene feature data and user behavior data corresponding to the game scene type and the user operation preferences;

[0145] Key scene feedback indicators are extracted from the scene feature data to determine the feasible domain of the stimulation parameters of the wireless microcurrent control signal.

[0146] Personalized operation features are extracted from the user behavior data to generate physiological response adaptation coefficients for the body surface stimulation zones.

[0147] Based on the feasible region of the stimulation parameters and the physiological response adaptation coefficient, the synergistic effect rule of the wireless microcurrent control signal and the body surface stimulation zone is defined;

[0148] Based on the aforementioned synergistic effect rules, the stimulation combination of the wireless microcurrent control signal and the body surface stimulation zone is set.

[0149] The scene feature data refers to a structured data set that can characterize the core attributes of the game scene type, collected through the in-game data tracking system. This includes scene dynamic feature data, interaction event feature data, and environmental attribute feature data. For example, the scene feature data for the racing game's "high-speed drift scene" includes: scene dynamic level (9.2 / 10), road surface friction coefficient (0.35), collision event frequency (1.2 times / minute), and background sound effect decibel value (85dB). The user behavior data refers to the user's behavior data collected through game control device sensors (such as the gamepad gyroscope and button pressure sensors) during game interactions. The quantifiable operation records and feedback behavior data generated during the interaction process are used to reflect the user's operating habits, response patterns, and feedback preferences for tactile stimuli. For example, a user's behavior data in a shooting game includes: average button press frequency (3.5 times / second), standard deviation of joystick operation amplitude (0.6), and adjustment records of "recoil feedback" (5 times increased, 2 times decreased), etc. The key scene feedback indicators refer to the quantitative indicators extracted from scene feature data that determine the core mode of tactile feedback, including scene tension, event interaction intensity, and feedback timeliness, etc. The feasible domain of stimulus parameters refers to the quantifiable indicators based on key scene feedback indicators. The parameter range of the wireless microcurrent control signal, defined by the standard, includes upper and lower limits for dimensions such as intensity, frequency, and waveform, used to constrain the scene adaptation boundary of the signal; the personalized operation features refer to unique features extracted from user behavior data that reflect user operation habits and perceptual preferences, including operation rhythm, response speed, and differences in sensitivity to stimuli, used to achieve personalized feedback adaptation; the physiological response adaptation coefficient refers to the degree of matching between the personalized physiological features corresponding to user operation preferences and the physical properties of the body surface stimulation zone (such as stimulation electrode impedance, skin contact area, nerve distribution density in the stimulation area, etc.), through... The normalization coefficients obtained from overquantization calculations (typically ranging from 0 to 1) are used to characterize the adaptability of a specific body surface stimulation zone to the individual physiological state of the user. The higher the coefficient, the easier it is for the user to perceive the stimulation mode of that zone and to produce the expected physiological response. This coefficient is used to adjust the stimulation weight, range, and intensity gradient of the body surface stimulation zone to improve the comfort and recognizability of the feedback. The synergistic action rule refers to the logical rule formed by integrating the feasible domain of stimulation parameters and the physiological response adaptation coefficient, which standardizes the synergistic work of the wireless microcurrent control signal and the body surface stimulation zone. This rule includes parameter matching rules, regional linkage rules, and timing adjustment rules.

[0150] Optionally, the physiological response adaptation coefficients of the body surface stimulation zones can be generated using a weighted Euclidean distance algorithm; the synergistic rules between the wireless microcurrent control signal and the body surface stimulation zones can be defined using a generative rule engine (If-Then rules).

[0151] S4. Extract the response delay parameter and stimulus coverage index from the stimulus combination method, and calculate the stimulus deviation value of the wireless microcurrent control signal based on the response delay parameter and the stimulus coverage index.

[0152] This invention, by extracting the response delay parameter and stimulus coverage index from the stimulus combination method, can quantify the interaction quality of wireless microcurrent tactile feedback from two core dimensions: temporal accuracy and spatial effectiveness. This provides a key evaluation basis for dynamically optimizing the stimulus combination method. The response delay parameter refers to the time interval from the moment a specific event in the game scene (such as the player triggering a skill, a collision, or a scene change) is recognized and a corresponding command is generated within the game system, to the time interval between the wireless microcurrent tactile feedback system generating a perceptible microcurrent stimulus in the corresponding stimulation zone on the user's body surface based on that command. For example, in an action fighting game, when the player presses the "special move" button, triggering a special move in the game scene... For the skill release event, the timestamp T1 of the key press is recorded as 15000ms using the software timestamp method, while the timestamp T2 of the haptic feedback device on the player's hand starting to generate the corresponding vibration stimulus is 15030ms. Therefore, the response delay parameter is 15030-15000=30ms. The stimulation coverage index refers to the quantitative indicator used to evaluate the stimulation combination method of the wireless microcurrent haptic feedback system, which measures the effective coverage and intensity distribution of stimulation on the user's body surface stimulation zones. For example, in a virtual reality flight simulation game, if 16 out of the 20 preset body surface stimulation zones are activated, the coverage ratio P1=16 / 20×100%=80%.

[0153] Furthermore, by calculating the stimulation deviation value of the wireless microcurrent control signal based on the response delay parameter and the stimulation coverage index, the embodiments of the present invention can improve the interaction accuracy and adaptability of wireless microcurrent haptic feedback, and enhance the dynamic adjustment capability of wireless microcurrent haptic feedback game control devices to diverse game scenarios and user operation needs. The stimulation deviation value refers to a quantitative value used to characterize the degree of deviation between the actual output effect of the wireless microcurrent control signal and the ideal interactive target.

[0154] As an embodiment of the present invention, the step of calculating the stimulation deviation value of the wireless microcurrent control signal based on the response delay parameter and the stimulation coverage index includes:

[0155] Collect historical change data corresponding to the response delay parameter to define the dynamic time weighting factor of the response delay parameter;

[0156] Determine the spatial calibration coefficient and coverage density corresponding to the stimulus coverage index;

[0157] The stimulation deviation value of the wireless microcurrent control signal is calculated by combining the dynamic time weighting factor, the spatial correction coefficient, and the coverage density.

[0158] The historical change data refers to the temporal change records related to response delay parameters (such as the time difference between input and tactile feedback output, in ms) continuously collected and stored during the long-term operation of the game control device; the dynamic time weight factor refers to the weight coefficient (within the range of [0,1]) dynamically adjusted according to the time sensitivity of game scene events, used to quantify the influence of response delay parameters on stimulus deviation values. A normalization algorithm can be used to convert the time sensitivity level into a dynamic time weight factor. The calculation formula for the dynamic time weight factor is: Dynamic time weight factor = Event time sensitivity level / Highest sensitivity level; the spatial calibration coefficient refers to the calibration coefficient (within the range of [0.5,1.5]) set according to the physiological perception importance of the stimulation zone on the body surface (such as neural distribution density, operational correlation), used to correct the deviation weight of the stimulus coverage index in different zones; the coverage density refers to the number of stimulation points effectively activated per unit area (such as 1 cm²) within the target body surface area affected by the wireless microcurrent control signal. The calculation formula for the coverage density is: Coverage density = Number of stimulation points activated per unit area / Unit area.

[0159] In another embodiment of the present invention, the stimulation deviation value of the wireless microcurrent control signal is calculated by the following formula:

[0160]

[0161] in, This indicates the stimulation deviation value of the wireless microcurrent control signal. Represents the dynamic time weighting factor. This represents the response delay parameter. This indicates the reference time corresponding to the response delay parameter. Indicates the delay effect coefficient. Indicators representing stimulus coverage This represents the spatial calibration coefficient corresponding to the stimulus coverage index. Indicates the coverage deviation coefficient. This indicates the coverage density corresponding to the stimulus coverage index. This indicates the baseline coverage density.

[0162] It should be noted that, in this application, the above formula can more accurately describe the deviation of microcurrent stimulation, wherein the time delay term... The impact of response delay on wireless micro-current control signals can be quantified. This is a non-linear adjustment exponent used to control the sensitivity to delay; spatial coverage term. To enhance the spatial effect of wireless microcurrent control signals for matching a wider stimulation range; adaptive attenuation term. Used to dynamically constrain the deviation range of wireless microcurrent control signals to ensure the safety of microcurrent stimulation.

[0163] S5. Based on the stimulation deviation value, determine the electrode distribution density and stimulation intensity attenuation coefficient of the stimulation zone on the body surface, and calculate the tactile feedback threshold corresponding to the game control device based on the electrode distribution density and the stimulation intensity attenuation coefficient.

[0164] This invention, by determining the electrode distribution density and stimulation intensity attenuation coefficient of the stimulation zone on the body surface based on the stimulation deviation value, upgrades static stimulation parameter configuration to dynamic feedback accuracy optimization. It corrects interaction deviations caused by time delays or spatial coverage defects in real time. For example, when the stimulation deviation value indicates "spatial feedback misalignment" (e.g., the deviation between the user's operation position and the actual stimulation point exceeds a threshold), the electrode distribution density of that zone is specifically increased to offset the perceptual ambiguity caused by spatial deviation through denser stimulation point coverage. When the stimulation deviation value indicates "intensity perception distortion" (e.g., the signal is too strong causing the user to misjudge the operation force, or too weak causing a lack of feedback), the stimulation intensity attenuation coefficient is adjusted (increasing the coefficient when it is too high to accelerate attenuation, and decreasing the coefficient when it is too low to enhance signal penetration), so that the perceived intensity matches the operation intention. Figure 1 The electrode distribution density refers to the number of microcurrent stimulation electrodes arranged per unit area (usually in square centimeters, or cm²) within a stimulation zone on the body surface. For example, in the grip area (approximately 10 cm²) of a wireless microcurrent game controller, if 30 electrodes are arranged, the electrode distribution density in that area is 3 electrodes / cm²; if the number of electrodes is increased to 50, the density increases to 5 electrodes / cm². The stimulation intensity attenuation coefficient refers to the proportional coefficient by which the intensity of the microcurrent stimulation signal attenuates with distance (e.g., spatial distance from the electrode), time (e.g., signal duration), or environmental interference (e.g., changes in skin resistance) during transmission on the body surface. The value range is usually [0,1]. The stimulation intensity attenuation coefficient is used to avoid signal superposition between adjacent stimulation areas. For example, in the haptic feedback of "steering wheel turning" in a racing game, if the stimulation intensity attenuation coefficient is set to 0.7, the intensity of the microcurrent attenuates by 70% for every 1 cm it diffuses from the center of the electrode to the edge, thereby avoiding signal superposition between adjacent stimulation areas.

[0165] Furthermore, this embodiment of the invention calculates the tactile feedback threshold corresponding to the game control device based on the electrode distribution density and the stimulation intensity attenuation coefficient. This can improve the accuracy of the tactile feedback signal matching the user's operational intention. Simultaneously, by dynamically calibrating the threshold parameter range, it can enhance the consistency of feedback perception and the comfort of user operation across different game scenarios. The tactile feedback threshold refers to a critical value set in the control device, combining the electrode distribution density and stimulation intensity attenuation coefficient of the body surface stimulation zone, to define the tactile feedback intensity corresponding to different operational intentions. The specific calculation formula for the tactile feedback threshold is as follows: Where Y represents the tactile feedback threshold, The minimum perceived current represents the target user group, and D represents the electrode distribution density. This represents the stimulus intensity attenuation coefficient. Represents the perceived adjustment coefficient. , This represents the weighting coefficient.

[0166] As an embodiment of the present invention, the step of calculating the tactile feedback threshold corresponding to the game control device based on the electrode distribution density and the stimulation intensity attenuation coefficient includes:

[0167] Identify the application scenarios and target user group characteristics of the game control device;

[0168] Obtain the operation response requirements of the application scenario and the tactile perception capability parameters corresponding to the characteristics of the target user group;

[0169] Based on the operation response requirements, the feedback accuracy level of the game control device under different application scenarios is determined;

[0170] Based on the tactile perception ability parameters and the application scenario, identify the stimulation intensity perception threshold value of the user group at different feedback accuracy levels;

[0171] Based on the stimulation intensity perception threshold, establish the correlation between the electrode distribution density and the stimulation intensity attenuation coefficient;

[0172] Based on the aforementioned correlation, the perception adjustment coefficient of the game control device under different application scenarios is determined;

[0173] The tactile feedback threshold corresponding to the game control device is calculated by combining the perception adjustment coefficient, the electrode distribution density, and the stimulation intensity attenuation coefficient.

[0174] The application scenarios refer to the game types and interaction scenarios adapted to the game control devices. Their core characteristics include game operation frequency (e.g., high-frequency combos / low-frequency clicks), operation complexity (e.g., single-button operation / combination operation), and feedback timeliness requirements (e.g., real-time combat / story interaction). The target user group characteristics refer to the common characteristics of the user group targeted by the game control devices in terms of physiological perception and operating habits, including age distribution (e.g., teenagers / middle-aged and elderly), gaming experience (e.g., novice / experienced gamer), and tactile sensitivity (e.g., high sensitivity / low sensitivity), used to match users' personalized needs. The operational response requirements refer to the quantitative requirements of the application scenario on the time synchronization and intensity differentiation of the tactile feedback of the game control device, including the upper limit of feedback latency (e.g., ≤30ms), the number of intensity levels (e.g., 3 levels / 5 levels), and the accuracy of the operation-feedback mapping (e.g., 1:1 correspondence / fuzzy correspondence); the tactile perception capability parameters refer to the quantitative indicators of the target user group's perception threshold and discrimination ability to microcurrent stimulation, including the minimum perceived current (e.g., 0.2mA, i.e., the minimum stimulus intensity that can be perceived) and the intensity discrimination threshold (e.g., 0.15mA, i.e., the minimum intensity difference that can be distinguished); the feedback accuracy, etc. The "level" refers to the tactile feedback precision levels (e.g., levels 1-5) categorized by the game control device based on operational response requirements. Higher levels indicate finer feedback intensity grading and more precise spatial positioning (positively correlated with electrode distribution density), used to match the operational complexity of different scenarios. The "stimulus intensity perception threshold" refers to the threshold of stimulus intensity at which the target user group can stably distinguish different operational intentions under a specific feedback precision level (e.g., the intensity boundary between "touch" and "press"), including a lower limit threshold (minimum effective stimulus intensity) and grading thresholds (intensity boundaries between different operations). The "correlation relationship" refers to the electrode distribution... The dynamic adaptation relationship between electrode density (number of electrodes per unit area) and stimulation intensity attenuation coefficient (signal attenuation ratio); the perception adjustment coefficient refers to a coefficient (value 0.8-1.2) that dynamically adjusts the tactile feedback threshold according to the application scenario and target user group characteristics, used to compensate for scenario specificity (e.g., reducing threshold sensitivity in high-tension scenarios) and individual user differences (e.g., increasing threshold intensity for low-sensitivity users). The perception adjustment coefficient can be calculated based on the "feedback timeliness weight" of the application scenario and the "sensitivity weight" of the user group, and the calculation formula is: Perception adjustment coefficient = Scenario weight × +User Weight× ,in, , These are the weighting coefficients.

[0175] Optionally, the feedback accuracy level of the game control device under different application scenarios can be determined using the fuzzy comprehensive evaluation method; the correlation between the electrode distribution density and the stimulation intensity attenuation coefficient can be established using a multiple linear regression algorithm.

[0176] S6. Combining the stimulation combination method and the tactile feedback threshold, generate the microcurrent tactile feedback scheme of the game control device.

[0177] This invention, through combining the stimulus combination method and the tactile feedback threshold, generates a microcurrent tactile feedback scheme for the game control device. This not only significantly enhances the user's game immersion, allowing the user to perceive the dynamic physical stimuli of the game world in real time during operation, but also dynamically adjusts the intensity, range, and timing of the feedback according to the game scene type and user operation preferences, thereby effectively enhancing the realism and accuracy of game interaction. The microcurrent tactile feedback scheme refers to a complete and dynamically adjustable microcurrent tactile feedback execution strategy formed through the synergistic adaptation of the stimulus combination method and the tactile feedback threshold. The stimulus combination method provides the basic framework for the feedback signal, clarifying the regional distribution, type combination, and temporal logic of the stimulus in different scenarios. The tactile feedback threshold sets the boundaries and grading standards for the intensity of the feedback signal, ensuring that the feedback process meets the user's perceptual needs without exceeding the user's comfort range, and avoiding interference from ineffective or excessive stimulation.

[0178] For example, when a user performs high-speed driving operations in a racing game, the solution will, based on the stimulation combination, appropriately increase the low-frequency vibration intensity of the steering wheel grip area to simulate road bumps within the tactile feedback threshold range, while maintaining the pulse stimulation intensity of the shift button area to ensure clear perception of shifting operations; when the vehicle enters a curve scenario, the solution will adjust the stimulation combination to increase the stimulation intensity of the palm on the steering side, and this intensity will always be controlled within the safe range of the tactile feedback threshold to ensure that the user can accurately perceive the steering force and enhance the driving immersion.

[0179] Compared to the problems described in the background art, the embodiments of the present invention, by constructing an interaction feature matrix of the user operation data and the game scene data, can break the data isolation between user operation data and game scene data, reveal the correlation patterns between the two in different game contexts, and enhance the adaptability and feedback matching degree of the game control device to diverse game interaction scenarios. Furthermore, by determining the surface stimulation zones of the game control device based on the interaction feature matrix, the embodiments of the present invention can achieve spatially differentiated output of tactile feedback, improve the feedback fineness in complex game interaction scenarios, and enhance the realism of tactile interaction during gameplay. By generating wireless microcurrent control signals for the game control device based on the interaction feature matrix, the embodiments of the present invention can enhance the immersion and matching degree of tactile interaction for the game operator during gameplay, creating a precise and synchronized game tactile experience for the game operator. Furthermore, by setting the stimulation combination mode of the wireless microcurrent control signal and the surface stimulation zones according to the game scene type and the user operation preferences, the embodiments of the present invention can achieve dynamic adaptation of the tactile feedback signal with game interaction needs and user perception habits, thereby significantly improving the wireless microcurrent tactile feedback. This invention improves the interactive effectiveness and user experience quality of game control devices by calculating the stimulation deviation value of the wireless microcurrent control signal based on the response delay parameter and the stimulation coverage index. This enhances the interactive accuracy and adaptability of wireless microcurrent tactile feedback and strengthens the dynamic adjustment capability of the wireless microcurrent tactile feedback game control device to diverse game scenarios and user operation needs. Furthermore, this invention calculates the tactile feedback threshold corresponding to the game control device based on the electrode distribution density and the stimulation intensity attenuation coefficient. This improves the accuracy of the tactile feedback signal matching the user's operation intention and enhances the consistency of feedback perception and user operation comfort in different game scenarios by dynamically calibrating the threshold parameter range. Finally, this invention generates a microcurrent tactile feedback scheme for the game control device by combining the stimulation combination method and the tactile feedback threshold. This not only significantly enhances the user's game immersion, allowing the user to perceive the dynamic physical stimulation of the game world in real time during operation, but also dynamically adjusts the intensity, range, and timing of feedback according to the game scene type and user operation preferences, thereby effectively enhancing the realism and accuracy of game interaction. Therefore, the wireless microcurrent haptic feedback game control device interaction method and system provided by the embodiments of the present invention can significantly enhance the user's game immersion.

[0180] like Figure 4 The diagram shown is a functional block diagram of a wireless microcurrent haptic feedback game control device interaction system according to the present invention.

[0181] The wireless microcurrent haptic feedback game control device interaction system 200 described in this invention can be installed in an electronic device. Depending on the functions implemented, the wireless microcurrent haptic feedback game control device interaction system may include a feature extraction module 201, a zone control module 202, a combined control module 203, a deviation calibration module 204, a signal feedback module 205, and a result output module 206. The module described in this invention can also be called a unit, which refers to a series of computer program segments that can be executed by the processor of an electronic device and can perform a fixed function, stored in the memory of the electronic device.

[0182] In this embodiment of the invention, the functions of each module / unit are as follows:

[0183] The feature extraction module 201 is used to collect user operation data and game scene data of the game control device, and construct an interaction feature matrix of the user operation data and the game scene data.

[0184] The partition control module 202 is used to generate a wireless microcurrent control signal for the game control device based on the interaction feature matrix, and to determine the body surface stimulation partition of the game control device.

[0185] The combined control module 203 is used to parse the game scene type corresponding to the game scene data and the user operation preference corresponding to the user operation data, and set the stimulation combination mode of the wireless microcurrent control signal and the body surface stimulation zone according to the game scene type and the user operation preference.

[0186] The deviation calibration module 204 is used to extract the response delay parameter and the stimulus coverage index in the stimulus combination method, and calculate the stimulus deviation value of the wireless microcurrent control signal based on the response delay parameter and the stimulus coverage index.

[0187] The signal feedback module 205 is used to determine the electrode distribution density and stimulation intensity attenuation coefficient of the stimulation zone on the body surface according to the stimulation deviation value, and to calculate the tactile feedback threshold corresponding to the game control device based on the electrode distribution density and the stimulation intensity attenuation coefficient.

[0188] The result output module 206 is used to combine the stimulus combination method and the tactile feedback threshold to generate a microcurrent tactile feedback scheme for the game control device.

[0189] In detail, the modules in the wireless microcurrent haptic feedback game control device interaction system 200 described in this embodiment of the invention employ the same methods as described above during use. Figure 1This method uses the same technical means as the wireless microcurrent haptic feedback game control device interaction method described in the article, and can produce the same technical effect, so it will not be repeated here.

[0190] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0191] Finally, it should be noted that in the above embodiments, each embodiment can be combined with each other or independent. Deleting any one of them will not affect the technical implementation of other embodiments. The above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A wireless microcurrent haptic feedback game control device interaction method, characterized in that, The method includes: Collect user operation data and game scene data from game control devices, and construct an interaction feature matrix of the user operation data and the game scene data. Constructing the interaction feature matrix of the user operation data and the game scene data includes: Analyze the user interaction feature vector in the user operation data and the virtual environment state tensor in the game scene data; Establish a real-time mapping relationship between the user interaction feature vector and the virtual environment state tensor to define matrix construction rules; Extract the time series of each user interaction feature vector and the temporal evolution data of each virtual environment state tensor; Based on the time series and the temporal evolution data, calculate the instantaneous correlation degree and continuous coupling duration between the user interaction feature vector and the virtual environment state tensor; Analyze the state transition trends corresponding to the user interaction feature vector and the virtual environment state tensor; By combining the instantaneous correlation, the duration of continuous coupling, and the state transition trend, dynamic matrix elements are generated; Based on the matrix construction rules and the dynamic matrix elements, an interaction feature matrix of the user operation data and the game scene data is constructed. Based on the interaction feature matrix, a wireless micro-current control signal for the game control device is generated, wherein generating the wireless micro-current control signal for the game control device based on the interaction feature matrix includes: Obtain real-time operation-scene coupling data corresponding to the interaction feature matrix to identify the operation-scene pattern corresponding to the interaction feature matrix; Analyze the haptic feedback requirements in the aforementioned operation-scene mode; Based on the aforementioned tactile feedback requirements, a microcurrent stimulation array layout is set for the game control device. Based on the microcurrent stimulation array layout, a current regulation module, frequency control module, area switching module, and wireless communication module corresponding to the game control device are integrated to form an infinite microcurrent generator. The infinite microcurrent generator integrating the game control device according to the microcurrent stimulation array layout includes: By utilizing the spatial distribution characteristics of the microcurrent stimulation array layout, the current output channel and stimulation point corresponding to the game control device are determined; Based on the current output channel and the stimulation point, the current regulation module of the game control device is set up; Identify the stimulation intensity requirements corresponding to the microcurrent stimulation array layout, and set the adjustable frequency range corresponding to the microcurrent stimulation array layout. According to the adjustable frequency range, deploy the frequency control module of the game control device; Define the partition switching conditions and response time of the microcurrent stimulation array layout to set the area switching module of the game control device; Query the wireless communication protocol of the game control device in order to deploy the wireless communication module of the game control device; The current regulation module, the frequency control module, the area switching module, and the wireless communication module are integrated to form an infinite microcurrent generator; Based on the real-time operation-scene coupling data, the current tactile feedback mode of the infinite microcurrent generator is determined; Based on the current tactile feedback mode, define the parameter adaptive mapping strategy of the infinite microcurrent generator; Based on the parameter adaptive mapping strategy, a wireless microcurrent control signal for the game control device is generated, and the surface stimulation zones of the game control device are determined. The determination of the surface stimulation zones of the game control device based on the interaction feature matrix includes: Decouple the operation feature vector space and the environment state tensor space in the interaction feature matrix; By leveraging the spatiotemporal coupling relationship between the operational feature vector space and the environmental state tensor space, a surface stimulation topology mapping network corresponding to the game control device is constructed. This construction, through the spatiotemporal coupling relationship between the operational feature vector space and the environmental state tensor space, includes: Extract the spatiotemporal correlation feature parameters in the spatiotemporal coupling relationship, and construct the multidimensional stimulus mapping domain corresponding to the spatiotemporal correlation feature parameters; Calculate the dimensionality matching degree between the operation feature vector space and the environment state tensor space; Based on the dimensional matching degree, the graph structure generation paradigm corresponding to the multidimensional stimulus mapping domain is selected; The node edge weights of the multidimensional stimulus mapping domain are calculated using the dynamic change rate of the spatiotemporal coupling relationship. By combining the graph structure generation paradigm and the node edge weights, a body surface stimulus topology mapping network corresponding to the game control device is constructed. Identify the tactile sensitive areas corresponding to the surface stimulation topology mapping network, and extract the response characteristic parameters of the tactile sensitive areas; Using the operation frequency sensitivity, pressure feedback threshold, and spatiotemporal correlation factor in the response characteristic parameters, the partitioning criteria of the tactile sensitive area are defined. The surface stimulation zones of the game control device are determined based on the partitioning criteria. The game scene type corresponding to the game scene data and the user operation preference corresponding to the user operation data are parsed out. Based on the game scene type and the user operation preference, the stimulation combination mode of the wireless microcurrent control signal and the body surface stimulation zone is set. Extract the response delay parameter and stimulus coverage index from the stimulus combination method. Based on the response delay parameter and the stimulus coverage index, calculate the stimulus deviation value of the wireless microcurrent control signal. The calculation of the stimulus deviation value of the wireless microcurrent control signal based on the response delay parameter and the stimulus coverage index includes: Collect historical change data corresponding to the response delay parameter to define the dynamic time weighting factor of the response delay parameter; Determine the spatial calibration coefficient and coverage density corresponding to the stimulus coverage index; Combining the dynamic time weighting factor, the spatial calibration coefficient, and the coverage density, the stimulation deviation value of the wireless microcurrent control signal is calculated using the following formula: ； in, This indicates the stimulation deviation value of the wireless microcurrent control signal. Represents the dynamic time weighting factor. This represents the response delay parameter. This indicates the reference time corresponding to the response delay parameter. Indicates the delay effect coefficient. Indicators representing stimulus coverage This represents the spatial calibration coefficient corresponding to the stimulus coverage index. Indicates the coverage deviation coefficient. This indicates the coverage density corresponding to the stimulus coverage index. Indicates the baseline coverage density; Based on the stimulation deviation value, the electrode distribution density and stimulation intensity attenuation coefficient of the stimulation zone on the body surface are determined, and the tactile feedback threshold corresponding to the game control device is calculated based on the electrode distribution density and the stimulation intensity attenuation coefficient. By combining the stimulation combination method and the tactile feedback threshold, a microcurrent tactile feedback scheme for the game control device is generated.

2. The wireless microcurrent haptic feedback game control device interaction method as described in claim 1, characterized in that, The step of setting the stimulation combination mode of the wireless microcurrent control signal and the body surface stimulation zone according to the game scene type and the user operation preference includes: Simultaneously acquire scene feature data and user behavior data corresponding to the game scene type and the user operation preferences; Key scene feedback indicators are extracted from the scene feature data to determine the feasible domain of the stimulation parameters of the wireless microcurrent control signal. Personalized operation features are extracted from the user behavior data to generate physiological response adaptation coefficients for the body surface stimulation zones. Based on the feasible region of the stimulation parameters and the physiological response adaptation coefficient, the synergistic effect rule of the wireless microcurrent control signal and the body surface stimulation zone is defined; Based on the aforementioned synergistic effect rules, the stimulation combination of the wireless microcurrent control signal and the body surface stimulation zone is set.

3. The wireless microcurrent haptic feedback game control device interaction method as described in claim 1, characterized in that, The calculation of the tactile feedback threshold corresponding to the game control device based on the electrode distribution density and the stimulation intensity attenuation coefficient includes: Identify the application scenarios and target user group characteristics of the game control device; Obtain the operation response requirements of the application scenario and the tactile perception capability parameters corresponding to the characteristics of the target user group; Based on the operation response requirements, the feedback accuracy level of the game control device under different application scenarios is determined; Based on the tactile perception ability parameters and the application scenario, identify the stimulation intensity perception threshold value of the user group at different feedback accuracy levels; Based on the stimulation intensity perception threshold, establish the correlation between the electrode distribution density and the stimulation intensity attenuation coefficient; Based on the aforementioned correlation, the perception adjustment coefficient of the game control device under different application scenarios is determined; The tactile feedback threshold corresponding to the game control device is calculated by combining the perception adjustment coefficient, the electrode distribution density, and the stimulation intensity attenuation coefficient.

4. A wireless microcurrent haptic feedback game control device interaction system, characterized in that, The system includes: The feature extraction module is used to collect user operation data and game scene data from the game control device, and construct an interaction feature matrix of the user operation data and the game scene data. Constructing the interaction feature matrix of the user operation data and the game scene data includes: Analyze the user interaction feature vector in the user operation data and the virtual environment state tensor in the game scene data; Establish a real-time mapping relationship between the user interaction feature vector and the virtual environment state tensor to define matrix construction rules; Extract the time series of each user interaction feature vector and the temporal evolution data of each virtual environment state tensor; Based on the time series and the temporal evolution data, calculate the instantaneous correlation degree and continuous coupling duration between the user interaction feature vector and the virtual environment state tensor; Analyze the state transition trends corresponding to the user interaction feature vector and the virtual environment state tensor; By combining the instantaneous correlation, the duration of continuous coupling, and the state transition trend, dynamic matrix elements are generated; Based on the matrix construction rules and the dynamic matrix elements, an interaction feature matrix of the user operation data and the game scene data is constructed. A partition control module is used to generate a wireless micro-current control signal for the game control device based on the interaction feature matrix, wherein generating the wireless micro-current control signal for the game control device based on the interaction feature matrix includes: Obtain real-time operation-scene coupling data corresponding to the interaction feature matrix to identify the operation-scene pattern corresponding to the interaction feature matrix; Analyze the haptic feedback requirements in the aforementioned operation-scene mode; Based on the aforementioned tactile feedback requirements, a microcurrent stimulation array layout corresponding to the game control device is set. Based on the microcurrent stimulation array layout, a current regulation module, a frequency control module, a region switching module, and a wireless communication module corresponding to the game control device are integrated to form an infinite microcurrent generator. The infinite microcurrent generator integrating the game control device according to the microcurrent stimulation array layout includes: By utilizing the spatial distribution characteristics of the microcurrent stimulation array layout, the current output channel and stimulation point corresponding to the game control device are determined; Based on the current output channel and the stimulation point, the current regulation module of the game control device is set up; Identify the stimulation intensity requirements corresponding to the microcurrent stimulation array layout, and set the adjustable frequency range corresponding to the microcurrent stimulation array layout. According to the adjustable frequency range, deploy the frequency control module of the game control device; Define the partition switching conditions and response time of the microcurrent stimulation array layout to set the area switching module of the game control device; Query the wireless communication protocol of the game control device in order to deploy the wireless communication module of the game control device; The current regulation module, the frequency control module, the area switching module, and the wireless communication module are integrated to form an infinite microcurrent generator; Based on the real-time operation-scene coupling data, the current tactile feedback mode of the infinite microcurrent generator is determined; Based on the current tactile feedback mode, define the parameter adaptive mapping strategy of the infinite microcurrent generator; Based on the parameter adaptive mapping strategy, a wireless microcurrent control signal for the game control device is generated, and the surface stimulation zones of the game control device are determined. The determination of the surface stimulation zones of the game control device based on the interaction feature matrix includes: Decouple the operation feature vector space and the environment state tensor space in the interaction feature matrix; By leveraging the spatiotemporal coupling relationship between the operational feature vector space and the environmental state tensor space, a surface stimulation topology mapping network corresponding to the game control device is constructed. This construction, through the spatiotemporal coupling relationship between the operational feature vector space and the environmental state tensor space, includes: Extract the spatiotemporal correlation feature parameters in the spatiotemporal coupling relationship, and construct the multidimensional stimulus mapping domain corresponding to the spatiotemporal correlation feature parameters; Calculate the dimensionality matching degree between the operation feature vector space and the environment state tensor space; Based on the dimensional matching degree, the graph structure generation paradigm corresponding to the multidimensional stimulus mapping domain is selected; The node edge weights of the multidimensional stimulus mapping domain are calculated using the dynamic change rate of the spatiotemporal coupling relationship. By combining the graph structure generation paradigm and the node edge weights, a body surface stimulus topology mapping network corresponding to the game control device is constructed. Identify the tactile sensitive areas corresponding to the surface stimulation topology mapping network, and extract the response characteristic parameters of the tactile sensitive areas; Using the operation frequency sensitivity, pressure feedback threshold, and spatiotemporal correlation factor in the response characteristic parameters, the partitioning criteria of the tactile sensitive area are defined. The surface stimulation zones of the game control device are determined based on the partitioning criteria. The combined control module is used to parse the game scene type corresponding to the game scene data and the user operation preference corresponding to the user operation data, and set the stimulation combination mode of the wireless microcurrent control signal and the body surface stimulation zone according to the game scene type and the user operation preference. A deviation calibration module is used to extract the response delay parameter and stimulus coverage index from the stimulus combination method, and calculate the stimulus deviation value of the wireless microcurrent control signal based on the response delay parameter and the stimulus coverage index. The calculation of the stimulus deviation value of the wireless microcurrent control signal based on the response delay parameter and the stimulus coverage index includes: Collect historical change data corresponding to the response delay parameter to define the dynamic time weighting factor of the response delay parameter; Determine the spatial calibration coefficient and coverage density corresponding to the stimulus coverage index; Combining the dynamic time weighting factor, the spatial calibration coefficient, and the coverage density, the stimulation deviation value of the wireless microcurrent control signal is calculated using the following formula: ； in, This indicates the stimulation deviation value of the wireless microcurrent control signal. Represents the dynamic time weighting factor. This represents the response delay parameter. This indicates the reference time corresponding to the response delay parameter. Indicates the delay effect coefficient. Indicators representing stimulus coverage This represents the spatial calibration coefficient corresponding to the stimulus coverage index. Indicates the coverage deviation coefficient. This indicates the coverage density corresponding to the stimulus coverage index. Indicates the baseline coverage density; The signal feedback module is used to determine the electrode distribution density and stimulation intensity attenuation coefficient of the stimulation zone on the body surface according to the stimulation deviation value, and to calculate the tactile feedback threshold corresponding to the game control device based on the electrode distribution density and the stimulation intensity attenuation coefficient. The result output module is used to combine the stimulus combination method and the tactile feedback threshold to generate the microcurrent tactile feedback scheme of the game control device.

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