Safety protection system for estimating and measuring user use state by using acceleration sensor

Abstract

The invention relates to the field of acceleration sensors, in particular to a protection system for estimating the use state of a user through an acceleration sensor. The system comprises an acceleration sensor, a main control chip, a comparison module and a control module, the acceleration sensor is used for detecting a motion vector of a steering wheel, the main control chip receives and processes a detection result to generate a direction value, and the comparison module compares a detected direction change trend with the generated direction value to judge whether external intervention exists or not. If no external intervention exists, safety measures such as pausing a game, stopping rotation of the motor or enabling the whole direct-drive steering wheel to enter a sleep mode are executed. In addition, the system further comprises a recovery module, and control over the steering wheel is recovered after the specific key instruction is received. According to the method and the device, the effects of effectively preventing misoperation and improving user safety are achieved.

Description

Technical Field

[0001] The present application relates to the field of acceleration sensors, and in particular to a protection system that uses acceleration sensors to estimate a user's usage status. Background Art

[0002] Accelerometers are widely used in car driving simulators and can accurately measure the linear acceleration of objects. Especially in the application of steering wheels, since steering wheels usually move in an arc or circular trajectory, more than two axes of accelerometers are needed to fully describe their movement direction and intensity. This technology not only improves the realism of the user experience, but also provides a richer interactive experience for driving training and entertainment. However, in the actual application process, how to accurately judge the user's operating status and avoid safety hazards caused by misjudgment has become a problem that needs to be solved.

[0003] The main drawback of the existing technology is that it cannot effectively distinguish between the user's actual operation and the system's automatic response. For example, when the main control chip controls the steering wheel to turn in a certain direction, if the user happens to apply force in the same direction, the system may mistakenly believe that there is no external intervention and continue to execute the original control command. In this case, if the user suddenly leaves the seat or loses consciousness, the system will still run according to the predetermined instructions, which may cause safety hazards. In addition, the protection mechanism that relies on manual triggering may have delays and cannot respond to emergencies in a timely manner.

[0004] Therefore, a more reliable method is needed to estimate the user's status and ensure that appropriate security measures are taken when necessary. Summary of the invention

[0005] The purpose of this application is to overcome the above technical problems and provide a protection system that uses an acceleration sensor to estimate the user's usage status. The safety protection system that uses the acceleration sensor to estimate and measure the user's usage status includes the following components: An acceleration sensor for detecting the motion vector of the steering wheel; A main control chip, used for receiving and processing the detection result of the acceleration sensor, and generating a direction value according to the detection result; A comparison module, used to compare the direction change trend detected by the acceleration sensor with the direction value generated by the main control chip to determine whether there is external intervention; The control module is used to execute safety measures when it is determined that there is no external intervention.

[0006] By adopting the above technical solution, it is possible to effectively monitor whether the user is using the steering wheel normally. The acceleration sensor detects the motion vector of the steering wheel, the main control chip processes this data and generates a direction value, and the comparison module compares the actual direction change trend with the expected direction value to determine whether there is external intervention. If no external intervention is detected, the control module will take safety measures, such as pausing the game, stopping the motor rotation, or putting the entire direct-drive steering wheel into sleep mode to prevent accidental injuries caused by unmanned operation. This method not only improves the safety of the system, but also responds to the user's operating intention in a timely manner and reduces the probability of misjudgment.

[0007] Preferably, the safety measure includes any one of pausing the game, stopping the motor from rotating, or putting the entire direct-drive steering wheel into sleep mode.

[0008] By adopting the above technical solution, when the direction change trend detected by the acceleration sensor is inconsistent with the direction value generated by the main control chip, it can effectively determine whether there is external intervention. If there is no external intervention, the system will automatically take safety measures, such as pausing the game, stopping the motor rotation, or putting the entire direct-drive steering wheel into sleep mode, thereby avoiding safety hazards caused by unmanned operation. At the same time, the direction change trend and direction value are corrected through a pre-set standard curve system, further improving the accuracy and reliability of the judgment.

[0009] Preferably, it also includes a recovery module, which is used to restore the control of the steering wheel after receiving a specific key command.

[0010] By adopting the above technical solution, it is possible to automatically execute safety measures when no external intervention is detected, thereby avoiding safety risks caused by the user not operating the steering wheel for a long time. At the same time, by setting up a recovery module, the control of the steering wheel is quickly restored after receiving a specific key command, ensuring that the user can respond in time when he needs to control the steering wheel again, thereby improving the reliability of the system and user experience.

[0011] Preferably, the comparison module specifically includes: a data acquisition unit, used for real-time acquisition of the direction change trend detected by the acceleration sensor and the direction value generated by the main control chip; an analysis unit, used for comparing the direction change trend with the direction value to determine whether there is external intervention.

[0012] By adopting the above technical solution, the motion vector of the steering wheel can be accurately detected in real time, and the direction change trend detected by the acceleration sensor can be compared with the direction value generated by the main control chip, so as to quickly determine whether there is external intervention. Once it is confirmed that there is no external intervention, the system will immediately take safety measures, such as pausing the game, stopping the motor rotation, or putting the entire direct-drive steering wheel into sleep mode, effectively avoiding safety risks caused by unmanned operation. At the same time, the system also has a recovery function, which can quickly restore normal control after receiving a specific key command, ensuring user experience while ensuring safety.

[0013] Preferably, the analysis unit is further used to calibrate the direction change trend and the direction value according to a preset standard curve system.

[0014] By adopting the above technical solution, the analysis unit can correct the direction change trend and direction value according to a preset standard curve system, so as to more accurately determine whether there is external intervention, thereby improving the reliability and safety of the system.

[0015] Preferably, the standard curve system includes a plurality of different standard curves, each standard curve corresponding to a different driving scenario.

[0016] By adopting the above technical solution, the safety protection system can correct the direction change trend and direction value according to the standard curves in different driving scenarios, so as to more accurately judge whether there is external intervention. Each standard curve corresponds to a different driving scenario, so that the system can still maintain high-precision judgment ability in complex and changing environments, effectively avoid misjudgment and improve safety.

[0017] The security protection method for estimating and calculating the user's usage status using an acceleration sensor includes the following steps: S1: Detect the motion vector of the steering wheel through the acceleration sensor; S2: The main control chip receives and processes the detection result of the acceleration sensor, and generates a direction value according to the detection result; S3: Compare the direction change trend detected by the acceleration sensor with the direction value generated by the main control chip to determine whether there is external intervention; S4: Execute safety measures when it is determined that there is no external intervention.

[0018] By adopting the above technical solution, the safety protection method can monitor the movement state of the steering wheel in real time, and judge whether there is external intervention by comparing the direction change trend detected by the acceleration sensor with the direction value generated by the main control chip. This method can take safety measures in time when the user does not operate the steering wheel, such as pausing the game, stopping the motor rotation, or putting the entire direct-drive steering wheel into sleep mode, thereby avoiding potential safety hazards caused by misoperation. At the same time, through precise comparison of direction change trends, the accuracy and reliability of judgment are improved, effectively preventing the occurrence of misjudgment.

[0019] Preferably, the safety measure includes any one of pausing the game, stopping the motor from rotating, or putting the entire direct-drive steering wheel into sleep mode.

[0020] By adopting the above technical solution, when it is determined that there is no external intervention, the system will take any safety measures including pausing the game, stopping the motor rotation, or putting the entire direct-drive steering wheel into sleep mode. These measures can effectively prevent the accidental movement of the steering wheel due to the scene change of the driving simulation software when the user does not operate the steering wheel, thereby avoiding potential safety risks and injury accidents.

[0021] Preferably, the method further includes the step of restoring control of the steering wheel after receiving a specific key command.

[0022] By adopting the above technical solution, when it is detected that the user is not using the steering wheel, the system will automatically execute safety measures, such as pausing the game, stopping the motor rotation, or putting the entire direct-drive steering wheel into sleep mode, thereby avoiding safety hazards caused by unattended operation. At the same time, after receiving a specific key command, it can quickly restore control of the steering wheel to ensure that the user experience is not affected. This mechanism not only improves the safety of the system, but also enhances the user's trust and satisfaction.

[0023] Preferably, the specific steps of comparing the direction change trend detected by the acceleration sensor with the direction value generated by the main control chip include: real-time acquisition of the direction change trend detected by the acceleration sensor and the direction value generated by the main control chip; comparing the direction change trend with the direction value to determine whether there is external intervention.

[0024] By adopting the above technical solution, the direction change trend detected by the acceleration sensor and the direction value generated by the main control chip are collected in real time, which can accurately determine whether the steering wheel is subject to external intervention. When the direction change trend does not match the direction value, the user's operation intention can be identified in time, thereby effectively preventing safety risks caused by misjudgment. This method improves the response speed and accuracy of the system and ensures the safety of users.

[0025] In summary, the present application includes at least one of the following beneficial technical effects: 1. By detecting the motion vector of the steering wheel through the acceleration sensor and comparing it with the direction value generated by the main control chip, it can quickly and accurately determine whether the user is operating the steering wheel, avoiding safety hazards caused by misjudgment.

[0026] 2. When it is determined that there is no external intervention, the system can immediately execute safety measures, such as pausing the game, stopping the motor rotation, or putting the entire direct-drive steering wheel into sleep mode, effectively preventing accidents and improving user safety.

[0027] 3. The system has a recovery function, which allows users to restore control of the steering wheel by simply pressing a specific button, ensuring a normal user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 It is a principle block diagram of a safety protection system that uses an acceleration sensor to estimate and calculate the user's usage status in an embodiment of the present application.

[0029] Figure 2 This is a flow chart of a security protection method for using an acceleration sensor to estimate and calculate a user's usage status in an embodiment of the present application. DETAILED DESCRIPTION

[0030] The following will be combined with the attached Figure 1-Figure 2 , the technical solutions in the embodiments of the present invention are clearly and completely described. The described embodiments are only possible technical implementations of the present invention, not all possible implementations. Those skilled in the art can completely combine the embodiments of the present invention to obtain other embodiments without creative work, and these embodiments are also within the scope of protection of the present invention.

[0031] Embodiment 1: Reference Figure 1 and Figure 2 The embodiment of the present application provides a safety protection system for estimating and calculating the user's use status using an acceleration sensor, including an acceleration sensor, a main control chip, a comparison module and a control module. The acceleration sensor is used to detect the motion vector of the steering wheel; the main control chip is used to receive and process the detection result of the acceleration sensor, and generate a direction value according to the detection result; the comparison module is used to compare the direction change trend detected by the acceleration sensor with the direction value generated by the main control chip to determine whether there is external intervention; the control module is used to execute safety measures when it is determined that there is no external intervention.

[0032] Specifically, the acceleration sensor can be a dual-axis or multi-axis accelerometer. For example, ADXL345 or MMA7660 can be selected as an acceleration sensor. These sensors have the characteristics of high sensitivity and low power consumption, and can accurately measure the linear acceleration of the steering wheel. ADXL345 is a three-axis digital accelerometer that supports a measurement range of ±2g to ±16g and has a built-in temperature compensation function, which is suitable for applications under various environmental conditions. MMA7660 is a low-cost, low-power three-axis analog accelerometer suitable for application scenarios that require cost-effective solutions. Both sensors can communicate with the main control chip through the SPI interface or the I2C interface to ensure efficient and stable data transmission.

[0033] The main control chip can be a high-performance microcontroller such as STM32F103C8T6 or ESP32-S2. These chips have powerful data processing capabilities and fast response capabilities, and are suitable for processing complex algorithms and real-time data. STM32F103C8T6 has an ARM Cortex-M3 core, a maximum operating frequency of 72MHz, and integrates a rich set of peripheral interfaces such as USART, SPI and I2C, which facilitates communication with other devices. ESP32-S2 integrates Wi-Fi functions and supports multiple communication protocols, which is suitable for application scenarios that require wireless communication.

[0034] The comparison module includes a data acquisition unit and an analysis unit. The data acquisition unit is responsible for real-time acquisition of the direction change trend detected by the acceleration sensor and the direction value generated by the main control chip. The data acquisition unit can communicate with the acceleration sensor and the main control chip through the SPI interface or the I2C interface to ensure the efficiency and stability of data transmission. The analysis unit is responsible for comparing the direction change trend with the direction value to determine whether there is external intervention. The analysis unit can use the threshold method or the standard curve method for judgment. For example, when the deviation between the direction change trend and the direction value exceeds a preset threshold, it is judged that there is external intervention. In addition, the analysis unit can also introduce more intelligent algorithms, such as machine learning algorithms, to extract typical features in various driving scenarios by learning a large amount of real driving data, thereby improving the accuracy of judgment.

[0035] The control module can perform corresponding safety measures based on the results of the comparison module. Specifically, when it is determined that there is no external intervention, the control module can choose to pause the game, stop the motor from rotating, or put the entire direct-drive steering wheel into sleep mode. For example, the game can be paused and a warning message can be displayed on the display to remind the user to operate again; the motor can also be controlled to stop rotating through a PWM signal to prevent the steering wheel from moving further; the entire direct-drive steering wheel can also be put into sleep mode to reduce energy consumption and potential risks. The control module can also communicate with other control systems of the car through the CAN bus to achieve more comprehensive safety protection.

[0036] Correspondingly, the embodiment of the present application also discloses a security protection method for estimating and calculating the user's usage status using an acceleration sensor, comprising the following steps: S1: Detect the motion vector of the steering wheel through the acceleration sensor; S2: The main control chip receives and processes the detection result of the acceleration sensor, and generates a direction value according to the detection result; S3: Compare the direction change trend detected by the acceleration sensor with the direction value generated by the main control chip to determine whether there is external intervention; S4: Execute safety measures when it is determined that there is no external intervention.

[0037] Correspondingly, the safety protection method can monitor the movement state of the steering wheel in real time, and judge whether there is external intervention by comparing the direction change trend detected by the acceleration sensor with the direction value generated by the main control chip. This method can take safety measures in time when the user does not operate the steering wheel, such as pausing the game, stopping the motor rotation, or putting the entire direct-drive steering wheel into sleep mode, thereby avoiding potential safety hazards caused by misoperation. At the same time, through precise comparison of direction change trends, the accuracy and reliability of judgment are improved, effectively preventing the occurrence of misjudgment.

[0038] The implementation principle of this embodiment is: The motion vector of the steering wheel is monitored in real time through the acceleration sensor, and the data is transmitted to the main control chip for processing. The main control chip generates a direction value based on the received data and sends it to the comparison module. The comparison module compares the direction change trend and the direction value through the data analysis unit to determine whether there is external intervention. Once it is determined that there is no external intervention, the control module immediately takes corresponding safety measures to ensure user safety. This method not only improves the response speed of the system, but also effectively avoids the safety hazards caused by misjudgment, thereby improving the overall safety of the driving simulator.

[0039] Embodiment 2: The difference between this embodiment and the above embodiment is that a recovery module is added to restore the control of the steering wheel after receiving a specific key command. The recovery module can be a simple hardware circuit or a piece of firmware code, and the implementation method is flexible and diverse.

[0040] Specifically, the recovery module can set a dedicated reset button on the control panel. When the user presses the button, the recovery module will send a reset signal to the main control chip. After receiving the reset signal, the main control chip will cancel the previous pause of the game, stop the motor rotation or sleep mode, and resume normal operation. In addition, the recovery module can also be remotely controlled through wireless communication. For example, it can be connected to a mobile phone or other smart device via Bluetooth or Wi-Fi. The user only needs to click the corresponding button on the mobile phone to restore control of the steering wheel.

[0041] In order to improve the reliability of the system, the recovery module also needs to have an anti-accidental touch function. For example, a double confirmation mechanism can be set, that is, the user needs to press the reset button twice in succession for it to take effect; or a time delay can be introduced, and the recovery operation will only be triggered if the reset button is pressed multiple times within a certain period of time. This can effectively prevent erroneous operations caused by accidental touches and ensure the stability and security of the system.

[0042] In addition, the recovery module can also achieve more natural interaction through voice recognition technology. For example, the user can wake up the system through voice commands and resume control of the steering wheel. The voice recognition module can be integrated into the main control chip, capture the user's voice commands through the microphone array, and accurately recognize the user's commands after noise reduction and acoustic modeling processing. This method not only improves user convenience, but also enhances the intelligence level of the system.

[0043] The implementation principle of this embodiment is as follows: Adding a recovery module allows the user to quickly restore control of the steering wheel in an emergency, avoiding long-term interruptions that affect normal use. The flexibility and convenience of the system are enhanced through a variety of recovery methods, such as hardware buttons, wireless communications, and voice recognition. At the same time, the design of the anti-mistouch function further improves the reliability of the system, ensuring that the user's operating needs can be correctly responded to in any situation, ensuring user experience and safety.

[0044] Embodiment 3: The difference between this embodiment and the above embodiment is that the specific implementation of the comparison module is more detailed and complex. In addition to the basic data collection and analysis functions, the support of the standard curve system is also added to more accurately judge the user's operation intention.

[0045] Specifically, in addition to real-time collection of the direction change trend detected by the acceleration sensor and the direction value generated by the main control chip, the data acquisition unit in the comparison module also records historical data over a period of time. These historical data can help the analysis unit better understand the current driving scenario and make more accurate judgments. The analysis unit uses a pre-set standard curve system to correct the direction change trend and direction value. The standard curve system includes multiple different standard curves, each of which corresponds to a different driving scenario, such as urban roads, highways, mountain roads, etc. By matching the current driving scenario and selecting the most appropriate standard curve for correction, the accuracy of the judgment can be significantly improved.

[0046] The method for generating the standard curve can use a machine learning algorithm to extract typical features of each driving scenario by learning a large amount of real driving data. Then, a standard curve model is constructed based on these features and stored in the memory of the main control chip. During the actual operation, the analysis unit will continuously update and improve the standard curve model to make it closer to the actual situation. For example, a deep neural network (DNN) model can be used to fit the trend of acceleration changes in various driving scenarios through a large amount of training data to form a standard curve library. The main control chip loads the latest standard curve library at each startup to ensure that the system is always in the best condition.

[0047] In addition, the comparison module can also introduce fuzzy logic algorithms, and comprehensively consider the influence of multiple factors through fuzzy reasoning to improve the robustness of judgment. For example, multiple parameters such as direction change trend, direction value, vehicle speed, road friction, etc. can be mapped to fuzzy sets, and reasoning can be performed through the fuzzy rule base to obtain the final judgment result. This multi-dimensional comprehensive judgment method can effectively cope with complex and changeable actual driving conditions and improve the adaptability and reliability of the system.

[0048] The implementation principle of this embodiment is as follows: By introducing the standard curve system, the comparison module can more accurately judge the user's operation intention and reduce the possibility of misjudgment. The dynamic adjustment mechanism of the standard curve enables the system to adapt to different driving environments and improves the overall robustness and adaptability. This design not only improves the intelligence level of the system, but also provides users with a safer and more reliable driving simulation experience.

[0049] Embodiment 4: The difference between this embodiment and the above embodiment is that a security protection method for using an acceleration sensor to estimate and calculate the user's usage status is provided. The method includes the following steps: 1. Detect the motion vector of the steering wheel through an acceleration sensor: Use a dual-axis or multi-axis accelerometer to monitor the linear acceleration of the steering wheel in real time and obtain its motion vector.

[0050] 2. The main control chip receives and processes the detection result of the acceleration sensor, and generates a direction value according to the detection result: the main control chip reads the data of the acceleration sensor through the SPI or I2C interface, and generates a direction value after filtering and calculation.

[0051] 3. Compare the direction change trend detected by the acceleration sensor with the direction value generated by the main control chip to determine whether there is external intervention: the data acquisition unit and the analysis unit in the comparison module work together to collect the direction change trend and direction value in real time, and compare them through the threshold method or the standard curve method to determine whether there is external intervention.

[0052] 4. Execute safety measures when it is determined that there is no external intervention: If it is determined that there is no external intervention, the control module will choose to pause the game, stop the motor rotation, or put the entire direct-drive steering wheel into sleep mode to ensure user safety.

[0053] 5. Restore control of the steering wheel after receiving a specific key command: The recovery module receives the reset command through a hardware button or wireless communication. After receiving the command, the main control chip releases the previous safety measures and resumes normal operation.

[0054] The detailed description of the specific steps is as follows: S1: Use a dual-axis or multi-axis accelerometer (such as ADXL345 or MMA7660) to monitor the linear acceleration of the steering wheel in real time and obtain its motion vector. The accelerometer is connected to the main control chip through the SPI or I2C interface to ensure high speed and stability of data transmission.

[0055] S2: The main control chip (such as STM32F103C8T6 or ESP32-S2) reads the data of the acceleration sensor through the SPI or I2C interface, and generates the direction value after filtering and calculation. The filtering algorithm can use Kalman filtering or sliding average filtering to eliminate noise interference and improve the accuracy of the data.

[0056] Kalman filtering is a recursive filter that can estimate the optimal state variables in the presence of noise, and is particularly suitable for dynamic systems. Sliding average filtering smoothes data by solving the average of the most recent sampling values. It is simple and effective.

[0057] S3: The data acquisition unit in the comparison module collects the direction change trend detected by the acceleration sensor and the direction value generated by the main control chip in real time. The analysis unit compares the direction change trend with the direction value to determine whether there is external intervention. The threshold method can be used. When the deviation between the direction change trend and the direction value exceeds the preset threshold, it is determined that there is external intervention; the standard curve method can also be used to correct by matching the standard curve of the current driving scene to improve the accuracy of the judgment. The standard curve method can not only reduce the error, but also adapt to the changes in different driving scenes and improve the robustness of the system.

[0058] S4: If it is determined that there is no external intervention, the control module will select appropriate measures to ensure user safety. For example, the game can be paused and a warning message can be displayed on the display to remind the user to restart the operation; the motor can also be controlled to stop rotating through a PWM signal to prevent the steering wheel from moving further; the entire direct-drive steering wheel can also be put into sleep mode to reduce energy consumption and potential risks. The control module can also communicate with other control systems of the car through the CAN bus to achieve more comprehensive safety protection.

[0059] S5: The recovery module receives the reset command through a hardware button or wireless communication. After the user presses the reset button or clicks the corresponding button on the mobile phone, the recovery module sends a reset signal to the main control chip. After receiving the reset signal, the main control chip releases the previous safety measures and resumes normal operation. In order to avoid accidental touches, a double confirmation mechanism or time delay can be set to ensure that the operation is resumed only when it is really needed. In addition, the recovery module can also achieve more natural interaction through voice recognition technology, enhancing the intelligence level of the system.

[0060] The implementation principle of this embodiment is as follows: Through a series of detailed steps, the whole process from data collection to the final implementation of safety measures is automated. This method not only improves the response speed and accuracy of the system, but also greatly reduces the risk of misjudgment and ensures the safety of users. At the same time, the design of the recovery mechanism allows users to quickly restore control of the steering wheel in an emergency, improving the practicality of the system and user experience.

[0061] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A safety protection system using an acceleration sensor to estimate and measure the user's usage status, characterized in that: Includes the following components: An acceleration sensor for detecting the motion vector of the steering wheel; A main control chip, used for receiving and processing the detection result of the acceleration sensor, and generating a direction value according to the detection result; A comparison module is used to compare the direction change trend detected by the acceleration sensor with the direction value generated by the main control chip to determine whether there is external intervention; and a control module is used to execute safety measures when it is determined that there is no external intervention.

2. The safety protection system for estimating and calculating the user's usage status using an acceleration sensor according to claim 1, characterized in that: The safety measures include pausing the game, stopping the motor rotation, or putting the entire direct-drive steering wheel into sleep mode.

3. The safety protection system for estimating and calculating the user's usage status using an acceleration sensor according to claim 1, characterized in that: A recovery module is also included, which is used to restore the control of the steering wheel after receiving a specific key command.

4. The safety protection system for estimating and calculating the user's usage status using an acceleration sensor according to claim 1, characterized in that: The comparison module specifically includes: a data acquisition unit, used for real-time acquisition of the direction change trend detected by the acceleration sensor and the direction value generated by the main control chip; an analysis unit, used for comparing the direction change trend with the direction value to determine whether there is external intervention.

5. The safety protection system for estimating and calculating the user's usage status using an acceleration sensor according to claim 4, characterized in that: The analysis unit is also used to calibrate the direction change trend and the direction value according to a preset standard curve system.

6. The safety protection system for estimating and calculating the user's usage status using an acceleration sensor according to claim 5, characterized in that: The standard curve system includes a plurality of different standard curves, each of which corresponds to a different driving scenario.

7. A security protection method for estimating and calculating a user's usage status using an acceleration sensor, characterized in that: The following steps are involved: S1: Detect the motion vector of the steering wheel through the acceleration sensor; S2: The main control chip receives and processes the detection result of the acceleration sensor, and generates a direction value according to the detection result; S3: Compare the direction change trend detected by the acceleration sensor with the direction value generated by the main control chip to determine whether there is external intervention; S4: Execute safety measures when it is determined that there is no external intervention.

8. The security protection method for estimating and calculating the user's usage status using an acceleration sensor according to claim 7, characterized in that: The safety measures include pausing the game, stopping the motor rotation, or putting the entire direct-drive steering wheel into sleep mode.

9. The security protection method for estimating and calculating the user's usage status using an acceleration sensor according to claim 7, characterized in that: The method also includes the step of restoring control of the steering wheel after receiving a specific key command.

10. The security protection method for estimating and calculating the user's usage status using an acceleration sensor according to claim 7, characterized in that: The specific steps of comparing the direction change trend detected by the acceleration sensor with the direction value generated by the main control chip include: real-time acquisition of the direction change trend detected by the acceleration sensor and the direction value generated by the main control chip; comparing the direction change trend with the direction value to determine whether there is external intervention.

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