Safety protection system for estimating user's usage state using acceleration sensor

Abstract

The application relates to the field of acceleration sensors, in particular to a protection system using an acceleration sensor to estimate a user's use state. The system comprises an acceleration sensor, a main control chip, a comparison module and a control module, wherein the acceleration sensor is used to detect the motion vector of a steering wheel, the main control chip receives and processes the detection result to generate a direction value, the comparison module compares the detected direction change trend with the generated direction value to judge whether there is external intervention, and if there is no external intervention, safety measures such as pausing a game, stopping motor rotation or making the whole direct-drive steering wheel enter a sleep mode are executed. In addition, the system further comprises a recovery module which recovers the control of the steering wheel after receiving a specific key instruction. The application achieves the effects of effectively preventing misoperation and improving user safety.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of acceleration sensors, particularly to a protection system using acceleration sensors to estimate user's usage state. BACKGROUND

[0002] Acceleration sensors are widely used in car driving simulators, which can accurately measure the linear acceleration of objects. Especially in the application of steering wheels, since the steering wheel usually moves in an arc or circular trajectory, it is necessary to use acceleration sensors with two or more axes to fully describe its movement direction and intensity. This technology not only improves the realism of user experience, but also provides a more interactive experience for driving training and entertainment. However, in actual application, how to accurately judge the user's operation state and avoid safety hazards caused by misjudgment has become a problem to be solved.

[0003] The main defect of the prior art is that it cannot effectively distinguish between the user's real operation and the system's automatic response. For example, when the main control chip controls the steering wheel to rotate in a certain direction, if the user also applies force in the same direction at that moment, 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 relying on manual triggering may have a delay and cannot respond to sudden situations in time.

[0004] Therefore, a more reliable method is needed to estimate the user's state and ensure that appropriate safety measures are taken when necessary. SUMMARY

[0005] The purpose of the present application is to overcome the above technical problems and provide a protection system using acceleration sensors to estimate user's usage state

[0006] The safety protection system using acceleration sensors to estimate user's usage state includes the following components:

[0007] An acceleration sensor for detecting the motion vector of the steering wheel;

[0008] A main control chip for receiving and processing the detection results of the acceleration sensor and generating a direction value according to the detection results;

[0009] A comparison module for comparing 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;

[0010] A control module for executing safety measures when it is determined that there is no external intervention.

[0011] By implementing this technical solution, it is possible to effectively monitor whether the user is using the steering wheel normally. An accelerometer detects the steering wheel's motion vector, and the main control chip processes this data and generates a direction value. A comparison module compares the actual direction change trend with the expected direction value to determine whether there has been external interference. If no external interference is detected, the control module takes safety measures, such as pausing the game, stopping the motor, or putting the entire direct-drive steering wheel into sleep mode to prevent accidental injuries caused by unattended operation. This approach not only improves system safety but also promptly responds to user operation intentions, reducing the probability of misjudgment.

[0012] Preferably, the safety measure includes any one of pausing the game, stopping the motor rotation, or putting the entire direct-drive steering wheel into sleep mode.

[0013] By employing this technical solution, when the directional trend detected by the accelerometer is inconsistent with the directional value generated by the main control chip, it can effectively determine whether there has been external interference. If there has been no external interference, the system automatically takes safety measures, such as pausing the game, stopping the motor, or putting the entire direct-drive steering wheel into sleep mode, thereby avoiding safety hazards caused by unattended operation. Furthermore, a pre-set standard curve system is used to calibrate the directional trend and directional value, further improving the accuracy and reliability of the judgment.

[0014] Preferably, a recovery module is also included, which is used to restore control of the steering wheel after receiving a specific key command.

[0015] By adopting this technical solution, safety measures can be automatically executed when no external intervention is detected, thus avoiding safety risks caused by the user not operating the steering wheel for a long time. Furthermore, by setting up a recovery module, steering wheel control can be quickly restored after receiving a specific key command, ensuring that the user can respond promptly when the steering wheel needs to be re-activated, thus improving system reliability and user experience.

[0016] Preferably, the comparison module specifically includes: a data acquisition unit, used to collect in real time the direction change trend detected by the acceleration sensor and the direction value generated by the main control chip; an analysis unit, used to compare the direction change trend with the direction value to determine whether there is external intervention.

[0017] By adopting this technical solution, the steering wheel's motion vector can be accurately detected in real time. The directional change trend detected by the accelerometer is compared with the directional value generated by the main control chip, allowing a quick determination of any external interference. Once the absence of external interference is confirmed, the system immediately takes safety measures, such as pausing the game, stopping the motor, or putting the entire direct-drive steering wheel into sleep mode, effectively avoiding safety risks caused by unattended operation. The system also features a recovery function that quickly restores normal control upon receiving a specific key command, ensuring both user experience and safety.

[0018] Preferably, the analysis unit is further configured to calibrate the direction change trend and the direction value according to a pre-set standard curve system.

[0019] By adopting the above technical solution, the analysis unit can correct the direction change trend and direction value according to a pre-set standard curve system, so as to more accurately judge whether there is external intervention, thereby improving the reliability and safety of the system.

[0020] Preferably, the standard curve system includes a plurality of different standard curves, each standard curve corresponding to a different driving scenario.

[0021] By employing this technical solution, the safety protection system can adjust directional trends and values ​​based on standard curves for different driving scenarios, enabling more accurate judgments about external interference. Each standard curve corresponds to a different driving scenario, enabling the system to maintain high-precision judgments in complex and changing environments, effectively avoiding misjudgments and improving safety.

[0022] The security protection method for estimating and measuring a user's usage status using an acceleration sensor includes the following steps:

[0023] S1: Detect the motion vector of the steering wheel through the acceleration sensor;

[0024] 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;

[0025] 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;

[0026] S4: Execute safety measures when it is determined that there is no external intervention.

[0027] By employing the above technical solution, this safety protection method can monitor the steering wheel's motion in real time and determine whether there has been any external interference by comparing the directional change trend detected by the accelerometer with the directional value generated by the main control chip. This method can take timely safety measures when the user is not operating the steering wheel, such as pausing the game, stopping the motor, or putting the entire direct-drive steering wheel into sleep mode, thereby avoiding potential safety hazards caused by misoperation. Furthermore, by accurately comparing directional change trends, the accuracy and reliability of judgments are improved, effectively preventing misjudgments.

[0028] Preferably, the safety measure includes any one of pausing the game, stopping the motor rotation, or putting the entire direct-drive steering wheel into sleep mode.

[0029] By employing the above technical solution, when it determines there's no external intervention, the system will take any of the following safety measures: pausing the game, stopping the motor, or putting the entire direct-drive steering wheel into sleep mode. These measures effectively prevent accidental steering wheel movement caused by scene changes in the driving simulation software when the user isn't operating the steering wheel, thereby avoiding potential safety risks and injuries.

[0030] Preferably, the method further includes the step of restoring control of the steering wheel after receiving a specific key command.

[0031] By employing this technical solution, when the system detects that the user is not using the steering wheel, it automatically implements safety measures such as pausing the game, stopping the motor, or putting the entire direct-drive steering wheel into sleep mode, thereby preventing safety hazards caused by unattended operation. Furthermore, upon receiving a specific key command, it can quickly restore control of the steering wheel, ensuring that the user experience is not affected. This mechanism not only improves system security but also enhances user trust and satisfaction.

[0032] 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: collecting the direction change trend detected by the acceleration sensor and the direction value generated by the main control chip in real time; comparing the direction change trend with the direction value to determine whether there is external intervention.

[0033] By employing this technical solution, the directional trend detected by the accelerometer and the direction value generated by the main control chip are collected in real time, accurately determining whether the steering wheel has been tampered with. If the directional trend and the direction value do not match, the user's operational intent can be promptly identified, effectively preventing safety risks caused by misjudgment. This method improves the system's response speed and accuracy, ensuring user safety.

[0034] In summary, this application includes at least one of the following beneficial technical effects:

[0035] 1. The accelerometer detects the steering wheel's motion vector and compares it with the direction value generated by the main control chip. This allows for quick and accurate determination of whether the user is steering, avoiding safety hazards caused by misjudgment.

[0036] 2. If the system determines there is no external interference, it can immediately implement safety measures, such as pausing the game, stopping the motor, or putting the entire direct-drive steering wheel into sleep mode, effectively preventing accidents and improving user safety.

[0037] 3. The system has a recovery function that allows users to regain control of the steering wheel by simply pressing a specific button, ensuring a normal user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 This is a principle block diagram of a security protection system that uses an acceleration sensor to estimate and measure the user's usage status in an embodiment of the present application.

[0039] Figure 2 This is a flow chart of a security protection method for using an acceleration sensor to estimate and calculate the user's usage status in an embodiment of the present application. DETAILED DESCRIPTION

[0040] The following will be combined with the 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 and do not constitute a complete set of implementations. Those skilled in the art can combine the embodiments of the present invention to derive other embodiments without inventive work, and such embodiments are also within the scope of protection of the present invention.

[0041] Example 1:

[0042] Reference Figure 1 and Figure 2 The present invention provides a safety protection system for estimating and calculating user usage 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 results of the acceleration sensor and generate a direction value based on the detection results; 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 has been external interference; and the control module is used to execute safety measures if it is determined that there has been no external interference.

[0043] Specifically, the accelerometer can be a dual-axis or multi-axis accelerometer. For example, the ADXL345 or MMA7660 can be selected as an accelerometer. These sensors offer high sensitivity and low power consumption, enabling accurate measurement of the steering wheel's linear acceleration. The ADXL345 is a three-axis digital accelerometer with a measurement range of ±2g to ±16g and built-in temperature compensation, making it suitable for applications in a variety of environmental conditions. The MMA7660 is a low-cost, low-power three-axis analog accelerometer suitable for applications requiring a cost-effective solution. Both sensors communicate with the main control chip via SPI or I2C interfaces, ensuring efficient and stable data transmission.

[0044] The main control chip can be a high-performance microcontroller such as the STM32F103C8T6 or ESP32-S2. These chips offer powerful data processing capabilities and fast response times, making them suitable for handling complex algorithms and real-time data. The STM32F103C8T6 features an ARM Cortex-M3 core with a maximum operating frequency of 72MHz and integrates a rich set of peripheral interfaces, such as USART, SPI, and I2C, for convenient communication with other devices. The ESP32-S2 integrates Wi-Fi functionality and supports multiple communication protocols, making it suitable for applications requiring wireless communication.

[0045] The comparison module includes a data acquisition unit and an analysis unit. The data acquisition unit is responsible for collecting the direction change trend detected by the accelerometer and the direction value generated by the main control chip in real time. The data acquisition unit can communicate with the accelerometer and the main control chip via the SPI interface or the I2C interface to ensure efficient and stable data transmission. The analysis unit is responsible for comparing the direction change trend with the direction value to determine whether there is external interference. The analysis unit can use a threshold method or a standard curve method to make judgments. For example, when the deviation between the direction change trend and the direction value exceeds a preset threshold, it is determined that there is external interference. 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 from a large amount of real driving data, thereby improving the accuracy of judgments.

[0046] The control module can implement appropriate safety measures based on the comparison module's results. Specifically, if it determines there's no external interference, it can choose to pause the game, stop the motor, or put the entire direct-drive steering wheel into sleep mode. For example, it can pause the game and display a warning message on the display to remind the user to restart the game; it can also use a PWM signal to stop the motor to prevent further movement of the steering wheel; or it can put the entire direct-drive steering wheel into sleep mode to reduce energy consumption and mitigate potential risks. The control module can also communicate with other vehicle control systems via the CAN bus for more comprehensive safety protection.

[0047] Correspondingly, the embodiment of the present application further discloses a security protection method for estimating and measuring a user's usage status using an acceleration sensor, comprising the following steps:

[0048] S1: Detect the motion vector of the steering wheel through the acceleration sensor;

[0049] 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;

[0050] 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;

[0051] S4: Execute safety measures when it is determined that there is no external intervention.

[0052] Correspondingly, this safety protection method monitors the steering wheel's motion in real time and determines whether there has been any external interference by comparing the directional trends detected by the accelerometer with the directional values ​​generated by the main control chip. This method enables timely safety measures to be taken when the user is not operating the steering wheel, such as pausing the game, stopping the motor, or putting the entire direct-drive steering wheel into sleep mode, thereby avoiding potential safety hazards caused by misoperation. Furthermore, by accurately comparing directional trends, the accuracy and reliability of judgments are improved, effectively preventing misjudgments.

[0053] The implementation principle of this embodiment is as follows: The motion vector of the steering wheel is monitored in real time through an 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 interference. Once it is determined that there is no external interference, 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.

[0054] Example 2:

[0055] This embodiment differs from the above embodiment in that a recovery module is added to restore 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 its implementation is flexible and diverse.

[0056] Specifically, the recovery module can include a dedicated reset button on the control panel. When the user presses this button, the recovery module sends a reset signal to the main control chip. Upon receiving the reset signal, the main control chip unpauses the game, stops the motor, or resumes normal operation. Furthermore, the recovery module can be remotely controlled via wireless communication, for example, by connecting to a mobile phone or other smart device via Bluetooth or Wi-Fi. The user can simply click the corresponding button on their phone to restore control of the steering wheel.

[0057] To improve system reliability, the recovery module also needs to have a function to prevent accidental touches. For example, a double confirmation mechanism can be implemented, requiring the user to press the reset button twice in succession for the reset to take effect. Alternatively, a time delay can be introduced, requiring multiple presses of the reset button within a certain period of time to trigger the recovery operation. This effectively prevents erroneous operations caused by accidental touches and ensures system stability and security.

[0058] Furthermore, the recovery module can also enable more natural interactions through voice recognition technology. For example, users can wake up the system and resume steering wheel control through voice commands. The voice recognition module can be integrated into the main control chip, capturing user voice commands through a microphone array. After noise reduction and acoustic modeling, it accurately recognizes the user's commands. This approach not only improves user convenience but also enhances the system's intelligence.

[0059] The implementation principle of this embodiment is as follows: The addition of a recovery module allows users to quickly regain control of the steering wheel in an emergency, avoiding prolonged interruptions that affect normal use. Multiple recovery methods, such as hardware buttons, wireless communication, and voice recognition, enhance the system's flexibility and convenience. Furthermore, the design of a false-touch prevention function further improves system reliability, ensuring accurate response to user operations in all circumstances, and safeguarding user experience and safety.

[0060] Example 3:

[0061] 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, it also adds support for a standard curve system to more accurately determine the user's operation intention.

[0062] 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.

[0063] The calibration curve can be generated using a machine learning algorithm. By studying a large amount of real-world driving data, it extracts typical features for various driving scenarios. A calibration curve model is then constructed based on these features and stored in the main control chip's memory. During actual operation, the analysis unit continuously updates and refines the calibration curve model to make it more realistic. For example, a deep neural network (DNN) model can be used to fit acceleration trends in various driving scenarios using a large amount of training data, creating a calibration curve library. The main control chip loads the latest calibration curve library at each startup to ensure the system is always in optimal condition.

[0064] Furthermore, the comparison module can incorporate fuzzy logic algorithms, using fuzzy reasoning to comprehensively consider the influence of multiple factors and enhance robustness. For example, multiple parameters such as directional trend, direction value, vehicle speed, and road friction can be mapped to fuzzy sets, and reasoning can be performed using a fuzzy rule base to arrive at the final judgment. This multi-dimensional, comprehensive judgment approach can effectively address complex and changing real-world driving situations, improving the system's adaptability and reliability.

[0065] The implementation principle of this embodiment is as follows: By introducing a standard curve system, the comparison module can more accurately judge the user's operating intention, reducing the possibility of misjudgment. The dynamic adjustment mechanism of the standard curve enables the system to adapt to different driving environments, improving overall robustness and adaptability. This design not only enhances the system's intelligence level but also provides users with a safer and more reliable driving simulation experience.

[0066] Example 4:

[0067] The difference between this embodiment and the above embodiment is that it provides a security protection method for using an acceleration sensor to estimate and calculate the user's usage status. The method includes the following steps:

[0068] 1. Detecting the steering wheel's motion vector using an accelerometer: Use a dual-axis or multi-axis accelerometer to monitor the steering wheel's linear acceleration in real time and obtain its motion vector.

[0069] 2. The main control chip receives and processes the detection results of the acceleration sensor and generates a direction value based on the detection results: the main control chip reads the data of the acceleration sensor through the SPI or I2C interface, and generates a direction value through filtering and calculation.

[0070] 3. Comparing the direction change trend detected by the acceleration sensor with the direction value generated by the main control chip to determine whether there has been external interference: The data acquisition unit and analysis unit in the comparison module work together to collect direction change trends and direction values ​​in real time, and compare them using a threshold method or a standard curve method to determine whether there has been external interference.

[0071] 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.

[0072] 5. Restoring 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 removes the previous safety measures and resumes normal operation.

[0073] The detailed description of the specific steps is as follows:

[0074] S1: Use a dual-axis or multi-axis accelerometer (such as the ADXL345 or MMA7660) to monitor the steering wheel's linear acceleration in real time and obtain its motion vector. The accelerometer is connected to the main control chip via an SPI or I2C interface to ensure high-speed and stable data transmission.

[0075] S2: The main control chip (such as the STM32F103C8T6 or ESP32-S2) reads the accelerometer data through the SPI or I2C interface, filters and calculates the direction value. The filtering algorithm can use Kalman filtering or sliding average filtering to eliminate noise interference and improve data accuracy.

[0076] The Kalman filter is a recursive filter that can estimate the optimal state variables in the presence of noise and is particularly suitable for dynamic systems. The sliding average filter smoothes data by averaging the most recent sampled values. This is simple and effective.

[0077] S3: The data acquisition unit in the comparison module collects, in real time, the directional trend detected by the accelerometer and the directional value generated by the main control chip. The analysis unit compares the directional trend with the directional value to determine whether external interference has occurred. This can be done using a threshold method, whereby external interference is detected when the deviation between the directional trend and the directional value exceeds a preset threshold. Alternatively, a calibration curve method can be used to improve the accuracy of this judgment by matching the calibration curve to the current driving scenario. This calibration curve method not only reduces errors but also adapts to changes in different driving scenarios, enhancing system robustness.

[0078] S4: If it determines there's no external interference, the control module takes appropriate action to ensure user safety. For example, it can pause the game and display a warning message on the screen, prompting the user to restart. It can also use a PWM signal to stop the motor to prevent further steering wheel movement. It can also put the entire direct-drive steering wheel into sleep mode to reduce energy consumption and mitigate potential risks. The control module can also communicate with other vehicle control systems via the CAN bus for more comprehensive safety protection.

[0079] S5: The recovery module receives a reset command via a hardware button or wireless communication. When the user presses the reset button or taps the corresponding button on the phone, the recovery module sends a reset signal to the main control chip. Upon receiving the reset signal, the main control chip removes any previous safety measures and resumes normal operation. To prevent accidental activation, a double confirmation mechanism or time delay can be implemented to ensure that operation is restored only when absolutely necessary. Furthermore, the recovery module can utilize voice recognition technology to enable more natural interaction, enhancing the system's intelligence.

[0080] The implementation principle of this embodiment is as follows: Through a series of detailed steps, the entire process from data collection to the final implementation of safety measures is automated. This approach not only improves the system's response speed and accuracy, but also significantly reduces the risk of misjudgment, ensuring user safety. Furthermore, the design of a recovery mechanism allows users to quickly regain control of the steering wheel in an emergency, enhancing the system's practicality and user experience.

[0081] The above are all preferred embodiments of the present application, and are not intended to limit the scope of protection of the present application. Therefore, any equivalent changes made based on the structure, shape, and principle of the present application should be included in the scope of protection of the present application.

Claims

1. A safety protection system that uses an acceleration sensor to estimate and measure the user's usage status, characterized by: Includes the following components: An accelerometer, used to detect the motion vector of the steering wheel; A main control chip, configured to receive and process the detection results of the acceleration sensor, and generate a direction value according to the detection results; a comparison module, configured 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; a control module, configured to execute safety measures when it is determined that there is no external intervention; The safety measures include pausing the game, stopping the motor, or putting the entire direct-drive steering wheel into sleep mode; The comparison module specifically includes: a data acquisition unit, configured to acquire in real time the direction change trend detected by the acceleration sensor and the direction value generated by the main control chip; An analyzing unit is configured to compare the direction change trend with the direction value to determine whether there is external intervention.

2. The security protection system for estimating and calculating user usage status using an acceleration sensor according to claim 1, characterized in that: The system also includes a recovery module for recovering control of the steering wheel after receiving a specific key command.

3. The security protection system for estimating and calculating user usage status using an acceleration sensor according to claim 1, characterized in that: The analysis unit is further configured to calibrate the direction change trend and the direction value according to a preset standard curve system.

4. The security protection system for estimating and calculating user usage status using an acceleration sensor according to claim 3, characterized in that: The standard curve system includes a plurality of different standard curves, each standard curve corresponding to a different driving scenario.

5. A security protection method using an acceleration sensor to estimate and measure the user's usage status, 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; The safety measures include pausing the game, stopping the motor, or putting the entire direct-drive steering wheel into sleep mode; The specific step of comparing the direction change trend detected by the acceleration sensor with the direction value generated by the main control chip includes: collecting the direction change trend detected by the acceleration sensor and the direction value generated by the main control chip in real time; The direction change trend is compared with the direction value to determine whether there is external intervention.

6. The security protection method for estimating and calculating user usage status using an acceleration sensor according to claim 5, characterized in that: The method also includes the step of restoring control of the steering wheel after receiving a specific key command.

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