Headrest adjusting system and method for intelligently matching height of passenger

Abstract

The invention relates to the technical field of intelligent cabins, in particular to a headrest adjusting system and method intelligently matched with the height of a passenger, a follow-up adjusting module accurately adjusts the height and angle of a headrest in real time according to the height, the sitting posture and the seat state of the passenger, and the passenger height can be adjusted in real time. And it is ensured that the passengers have the best head and neck support in the driving process. The safety monitoring module continuously monitors the vehicle state and the sitting posture of the passenger, and measures are taken once abnormity is found, so that the driving safety is ensured. More importantly, the impact force calculation module can quickly and accurately calculate the impact force of the headrest on the neck of the passenger according to the acceleration of the vehicle, the collision direction and the sitting posture state of the passenger under the emergency condition that the vehicle collides. Afterwards, the impact force calculating and buffering module responds immediately, and the impact force is effectively absorbed and dispersed by controlling a buffering mechanism in the headrest, so that the passengers are protected from being injured to the maximum extent.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent cockpits, and more specifically, to a headrest adjustment system and method for intelligently matching the height of passengers. Background Art

[0002] With the rapid development of automobile technology, smart cockpit technology is becoming increasingly mature, but the headrest adjustment function in existing smart cockpits still mainly relies on manual operation by the user, which not only increases the user's operating burden, but also limits the interactive experience and riding comfort of the smart cockpit. At the same time, in emergency situations such as vehicle collisions, the impact force calculation and buffering capabilities of the headrest are also particularly important. To solve this problem, the present invention proposes a headrest adjustment system that integrates multiple intelligent modules, which can automatically and accurately match the height and sitting posture of the passenger, realize dynamic adjustment of the headrest, and provide effective impact force calculation and buffering protection during collisions, thereby improving driving comfort and safety. Summary of the invention

[0003] The object of the present invention is to provide a headrest adjustment system and method that intelligently matches the height of a passenger, so as to solve the problems raised in the above-mentioned background technology.

[0004] To achieve the above object, the present invention provides the following technical solutions: a headrest adjustment system for intelligently matching the height of a passenger, the system comprising an information collection module, a posture analysis module, a strategy matching and calculation module, a follow-up adjustment module, an impact force calculation module, an impact force calculation buffer module, a learning and optimization module and a safety monitoring module;

[0005] The information collection module includes an in-car camera and seat sensors, which are used to capture the height, sitting posture and seat status of passengers, and generate image information and vital sign data;

[0006] The image processing and recognition module is used to preprocess, extract features and recognize the image information captured by the camera, and convert the image information into specific data;

[0007] The posture analysis module combines the vital sign data and the specific data to analyze the sitting posture of the passenger;

[0008] The strategy matching and calculation module calculates the target height and angle of the headrest to be adjusted according to the passenger's sitting posture and the seat status using a preset algorithm and formula;

[0009] The follow-up adjustment module is used to receive the output of the strategy matching and calculation module, and realize real-time and precise adjustment of the headrest by controlling the electric headrest adjustment mechanism;

[0010] The impact force calculation module is used to quickly calculate the impact force of the headrest on the passenger's neck according to the acceleration of the vehicle, the passenger's sitting posture and the seat state in an emergency situation when the vehicle collides;

[0011] The impact force calculation and buffering module controls the buffering mechanism inside the headrest to respond quickly, absorb and disperse the impact force according to the result of the impact force calculation module;

[0012] The safety monitoring module monitors the vehicle status and passenger sitting posture in real time to ensure that the system is always in the best protection state;

[0013] The learning and optimization module analyzes the passengers' usage habits and preferences through machine learning algorithms and continuously optimizes the headrest adjustment strategy.

[0014] A further technical solution of the present application: the specific data includes passenger height, head position and neck angle.

[0015] A further technical solution of the present application: the information collection module also includes an infrared sensor for supplementing the capture of passengers' height and sitting posture information in low-light or nighttime environments.

[0016] A further technical solution of the present application: the strategy matching and calculation module further includes a passenger comfort evaluation sub-module, which further optimizes the adjustment strategy of the headrest based on the passenger's sitting posture, seat status and preset comfort standards, so as to improve the passenger's riding experience while ensuring safety.

[0017] A further technical solution of the present application is as follows: the impact force calculation module also includes a vehicle dynamic data interface for receiving the vehicle's dynamic data in real time.

[0018] A further technical solution of the present application: the learning and optimization module also includes a user feedback interface for receiving direct feedback from passengers on the headrest adjustment results, analyzing the feedback data through a machine learning algorithm, and continuously learning and optimizing the headrest adjustment strategy to adapt to the personalized needs and preferences of different passengers.

[0019] The present application also provides a method for adjusting a headrest system for intelligently matching the height of a passenger, the method comprising the following steps:

[0020] S1, using the in-car camera and seat sensor to capture the height, sitting posture and seat status of the passenger, and generate image information and vital sign data;

[0021] S2. Analyze the passenger's sitting posture through the posture analysis module by combining the vital sign data and the specific data;

[0022] S3. Calculate the target height and angle of the headrest to be adjusted based on the passenger's sitting posture and the seat status using a preset algorithm and formula;

[0023] S4, receiving the output of the strategy matching and calculation module, and realizing real-time and precise adjustment of the headrest by controlling the electric headrest adjustment mechanism;

[0024] S5. In an emergency situation where a vehicle collides, the impact force calculation module receives the dynamic data of the vehicle in real time, and quickly calculates the impact force of the headrest on the passenger's neck according to the acceleration of the vehicle, the passenger's sitting posture and the seat status;

[0025] S6, real-time monitoring of vehicle status and passenger posture to ensure the system is always in the best protection state;

[0026] S7, selecting a corresponding immediate control strategy according to the predicted immediate intention, and feeding back the immediate control strategy to the turn signal control module;

[0027] S8. Receive direct feedback from passengers on the headrest adjustment results through the user feedback interface of the learning and optimization module; use machine learning algorithms to analyze the feedback data, and continuously learn and optimize the headrest adjustment strategy to adapt to the personalized needs and preferences of different passengers.

[0028] A further technical solution of the present application: In step S3, the calculation formula of the target height is:

[0029] H target =H passenger -ΔH-α×(H passenger -H seat )+β×θ seat

[0030] Where Htarget is the target height of the headrest, Hpassenger is the height of the passenger, ΔH is the preset basic height difference, α is the dynamic adjustment factor related to the passenger's sitting posture, β is the correction coefficient of the seat tilt angle, and θ seat is the inclination angle of the seat (based on the horizontal plane);

[0031] The target angle is calculated based on the passenger's neck angle θneck and the preset angle difference Δθ, while taking into account the passenger's head tilt angle θhead. The calculation formula is:

[0032] θ target =θ neck +Δθ-γ×(θ head -θ neck )

[0033] Among them, θ target is the target angle of the head restraint.

[0034] A further technical solution of the present application is: in the emergency situation of a vehicle collision, the step S5 receives the dynamic data of the vehicle in real time through the impact force calculation module, including the collision acceleration and the collision direction;

[0035] The impact force calculation formula is:

[0036] F impact =m×a collision ×cos(θ collision )×(1+δ×v relative )

[0037] where F impact is the impact force, m is the passenger weight, a collision is the acceleration of the vehicle during collision, cos(θ collision ) is used to consider the directionality of the collision, θ is the damping coefficient, which reflects the interaction between the passenger and the seat. Its value depends on the seat material and the passenger's clothing. δ×v relative is the vertical velocity of the passenger relative to the seat at the moment of collision.

[0038] Compared with the prior art, the technical solution provided by the present invention has the following beneficial effects:

[0039] The present invention integrates multiple modules such as information collection, posture analysis, strategy matching and calculation, follow-up adjustment, impact force calculation and buffering, safety monitoring, learning and optimization, etc., wherein the follow-up adjustment module accurately adjusts the height and angle of the headrest in real time according to the height, sitting posture and seat status of the passenger, ensuring that the passenger has the best head and neck support during driving. The safety monitoring module continuously monitors the vehicle status and the passenger's sitting posture, and takes immediate measures once an abnormality is found to ensure driving safety. More importantly, in an emergency situation where a vehicle collides, the impact force calculation module can quickly and accurately calculate the impact force of the headrest on the passenger's neck according to the vehicle's acceleration, collision direction and the passenger's sitting posture. Subsequently, the impact force calculation buffer module responds immediately, effectively absorbs and disperses the impact force by controlling the buffer mechanism inside the headrest, thereby protecting the passenger from injury to the greatest extent. In addition, the system also has learning and optimization functions, which can continuously optimize the headrest adjustment strategy according to the passenger's usage habits and preferences, and provide a more personalized riding experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 is a system block diagram of the present invention;

[0041] Figure 2 It is the work flow chart of the present invention. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. The present invention is further described below in combination with the embodiments.

[0043] See also Figure 1 and Figure 2 , In an embodiment of the present application, a headrest adjustment system for intelligently matching the height of a passenger, the system includes an information collection module, a posture analysis module, a strategy matching and calculation module, a follow-up adjustment module, an impact force calculation module, an impact force calculation buffer module, a learning and optimization module and a safety monitoring module;

[0044] The information collection module includes an in-car camera and seat sensors, which are used to capture the height, sitting posture and seat status of passengers, and generate image information and vital sign data;

[0045] The image processing and recognition module is used to preprocess, extract features and recognize the image information captured by the camera, and convert the image information into specific data;

[0046] The posture analysis module combines the vital sign data and the specific data to analyze the sitting posture of the passenger;

[0047] The strategy matching and calculation module calculates the target height and angle of the headrest to be adjusted according to the passenger's sitting posture and the seat status using a preset algorithm and formula;

[0048] The follow-up adjustment module is used to receive the output of the strategy matching and calculation module, and realize real-time and precise adjustment of the headrest by controlling the electric headrest adjustment mechanism;

[0049] The impact force calculation module is used to quickly calculate the impact force of the headrest on the passenger's neck according to the acceleration of the vehicle, the passenger's sitting posture and the seat state in an emergency situation when the vehicle collides;

[0050] The impact force calculation and buffering module controls the buffering mechanism inside the headrest to respond quickly, absorb and disperse the impact force according to the result of the impact force calculation module;

[0051] The safety monitoring module monitors the vehicle status and passenger sitting posture in real time to ensure that the system is always in the best protection state;

[0052] The learning and optimization module analyzes the passengers' usage habits and preferences through machine learning algorithms and continuously optimizes the headrest adjustment strategy.

[0053] Specifically, this system realizes intelligent adjustment of the headrest by integrating hardware such as in-vehicle cameras, seat sensors, and acceleration sensors, as well as software modules such as image processing, posture analysis, strategy matching and calculation, follow-up adjustment, impact force calculation and buffering, safety monitoring, and learning and optimization. The information acquisition module uses a high-definition camera to capture the height and sitting posture information of the passenger, and combines the seat sensor data to convert it into specific data through the image processing and recognition module. The posture analysis module combines these data to evaluate the passenger's sitting posture. The strategy matching and calculation module uses an algorithm to calculate the target height and angle of the headrest to be adjusted according to the passenger's sitting posture and seat status. The follow-up adjustment module receives the calculation results and realizes real-time and precise adjustment through the electric headrest adjustment mechanism. In the event of a collision, the impact force calculation module quickly calculates the impact force according to the vehicle acceleration, passenger sitting posture and seat status, and the impact force calculation buffer module immediately controls the internal buffer mechanism of the headrest to respond and absorb and disperse the impact force. The safety monitoring module monitors the vehicle and passenger status in real time to ensure that the system is in the best protection state. The learning and optimization module continuously optimizes the headrest adjustment strategy through machine learning.

[0054] The system significantly improves ride comfort. By intelligently adjusting the height and angle of the headrest, it ensures that passengers' heads and necks are optimally supported during driving, reducing neck fatigue and discomfort. At the same time, it enhances driving safety, especially when the vehicle collides, the headrest can respond quickly and absorb the impact force, effectively reducing damage to the passenger's neck. In addition, the improvement of the system's intelligence level not only makes operation easier, but also continuously optimizes the headrest adjustment strategy through machine learning algorithms to provide passengers with a more personalized riding experience. Overall, the system is easy to operate and maintain. Through the collaborative work of software and hardware, it realizes the intelligent, comfortable and safe adjustment of the headrest, which is an important manifestation of the intelligent development of the automotive industry.

[0055] Furthermore, the specific data includes passenger height, head position and neck angle.

[0056] Furthermore, the information collection module also includes an infrared sensor for supplementarily capturing the height and sitting posture information of the passenger in low-light or nighttime environments.

[0057] Furthermore, the strategy matching and calculation module further includes a passenger comfort evaluation submodule, which further optimizes the adjustment strategy of the headrest based on the passenger's sitting posture, seat status and preset comfort standards, so as to improve the passenger's riding experience while ensuring safety.

[0058] Furthermore, the impact force calculation module also includes a vehicle dynamic data interface for receiving the vehicle dynamic data in real time.

[0059] Furthermore, the learning and optimization module also includes a user feedback interface for receiving direct feedback from passengers on headrest adjustment results, analyzing the feedback data through a machine learning algorithm, and continuously learning and optimizing the headrest adjustment strategy to adapt to the personalized needs and preferences of different passengers.

[0060] Specifically, in this embodiment, the information collection module includes not only a high-definition camera and a seat sensor in the vehicle, but also an infrared sensor. The high-definition camera and the seat sensor capture the height, sitting posture information and seat status of the passenger, and generate image information and vital sign data. The infrared sensor additionally captures the height and sitting posture information of the passenger in low light or at night, ensuring that the passenger information can be accurately obtained under various lighting conditions.

[0061] The image processing and recognition module will pre-process, extract features and recognize the images captured by the camera, and convert the image information into specific data such as passenger height, head position and neck angle.

[0062] The posture analysis module combines vital sign data and specific data to analyze the passenger's sitting posture and assess the passenger's comfort and potential safety risks.

[0063] The strategy matching and calculation module not only calculates the target height and angle of the headrest according to the passenger's sitting posture and seat status, but also adds a passenger comfort evaluation submodule. This submodule further optimizes the adjustment strategy of the headrest based on the passenger's sitting posture, seat status and preset comfort standards, ensuring safety while improving the passenger's riding experience.

[0064] The most important follow-up adjustment module receives the output of the strategy matching and calculation module, and realizes real-time and precise adjustment of the headrest by controlling the electric headrest adjustment mechanism.

[0065] In addition, when the vehicle collides, the impact force calculation module quickly calculates the impact force of the headrest on the passenger's neck based on the vehicle's acceleration, the passenger's sitting posture, the seat status, and the vehicle dynamic data received in real time through the vehicle dynamic data interface.

[0066] Impact force calculation and buffering module: Based on the results of the impact force calculation module, the buffering mechanism inside the headrest is controlled to respond quickly, absorb and disperse the impact force.

[0067] The safety monitoring module monitors the vehicle status and passenger posture in real time to ensure that the system is always in the best protection state.

[0068] Learning and Optimization Module This module not only analyzes passengers' usage habits and preferences through machine learning algorithms and continuously optimizes the headrest adjustment strategy, but also adds a user feedback interface. This interface is used to receive direct feedback from passengers on the headrest adjustment results, analyze the feedback data through machine learning algorithms, and continuously learn and optimize the headrest adjustment strategy to adapt to the personalized needs and preferences of different passengers.

[0069] The present invention ensures that the head and neck of passengers are optimally supported during driving by intelligently adjusting the height and angle of the headrest, reducing neck fatigue and discomfort. At the same time, the passenger comfort assessment submodule further improves the accuracy of the headrest adjustment strategy, allowing passengers to enjoy a more comfortable riding experience while ensuring safety.

[0070] When a vehicle collides, the headrest can quickly respond and absorb the impact force, effectively reducing the damage to the passenger's neck. The impact force calculation module combines the vehicle dynamic data to improve the accuracy of the impact force calculation and further enhance driving safety.

[0071] The system continuously optimizes the headrest adjustment strategy through machine learning algorithms and receives direct feedback from passengers, making headrest adjustment intelligent and personalized. This not only makes operation easier, but also provides passengers with a riding experience that is more in line with their personal needs and preferences.

[0072] Standardized interfaces and communication protocols are used between the modules of the system to facilitate troubleshooting and maintenance. At the same time, the addition of infrared sensors enables the system to accurately obtain passenger information under various lighting conditions, enhancing the adaptability and stability of the system.

[0073] The present application also provides a method for adjusting a headrest system for intelligently matching the height of a passenger, the method comprising the following steps:

[0074] S1, using the in-car camera and seat sensor to capture the height, sitting posture and seat status of the passenger, and generate image information and vital sign data;

[0075] S2. Analyze the passenger's sitting posture through the posture analysis module by combining the vital sign data and the specific data;

[0076] S3. Calculate the target height and angle of the headrest to be adjusted based on the passenger's sitting posture and the seat status using a preset algorithm and formula;

[0077] S4, receiving the output of the strategy matching and calculation module, and realizing real-time and precise adjustment of the headrest by controlling the electric headrest adjustment mechanism;

[0078] S5. In an emergency situation where a vehicle collides, the impact force calculation module receives the dynamic data of the vehicle in real time, and quickly calculates the impact force of the headrest on the passenger's neck according to the acceleration of the vehicle, the passenger's sitting posture and the seat status;

[0079] S6, real-time monitoring of vehicle status and passenger posture to ensure the system is always in the best protection state;

[0080] S7, selecting a corresponding immediate control strategy according to the predicted immediate intention, and feeding back the immediate control strategy to the turn signal control module;

[0081] S8. Receive direct feedback from passengers on the headrest adjustment results through the user feedback interface of the learning and optimization module; use machine learning algorithms to analyze the feedback data, and continuously learn and optimize the headrest adjustment strategy to adapt to the personalized needs and preferences of different passengers.

[0082] Specifically, the headrest adjustment system that intelligently matches the height of passengers integrates in-car cameras, seat sensors and advanced algorithm technology to capture and analyze the height, sitting posture and seat status of passengers in real time, accurately calculate and adjust the headrest to the optimal height and angle, and significantly improve the comfort and safety of the ride. In the event of an emergency collision, the system can respond quickly, effectively protecting the passenger's neck from injury by calculating the impact force and adjusting the position of the headrest. At the same time, the system continuously learns from passenger feedback and uses machine learning algorithms to optimize and adjust strategies to meet the personalized needs of different passengers, achieve continuous intelligent service upgrades, and comprehensively improve the driving experience and safety performance.

[0083] A further technical solution of the present application: In step S3, the calculation formula of the target height is:

[0084] H target =H passenger -ΔH-α×(H passenger -H seat )+β×θ seat

[0085] Where Htarget is the target height of the headrest, Hpassenger is the height of the passenger, ΔH is the preset basic height difference, α is the dynamic adjustment factor related to the passenger's sitting posture, β is the correction coefficient of the seat tilt angle, and θ seat is the inclination angle of the seat (based on the horizontal plane);

[0086] The target angle is calculated based on the passenger's neck angle θneck and the preset angle difference Δθ, while taking into account the passenger's head tilt angle θhead. The calculation formula is:

[0087] θ target =θ neck +Δθ-γ×(θhead -θ neck )

[0088] Among them, θ target is the target angle of the head restraint.

[0089] Specifically, by considering multiple factors such as passenger height, sitting posture, seat tilt angle, neck and head angle, the system can provide each passenger with a personalized headrest adjustment plan to ensure the best support effect; precise adjustment of the headrest height and angle can reduce passenger discomfort during driving and improve riding comfort. In emergency situations, such as vehicle collisions, the system can quickly adjust the headrest position to reduce the impact on the passenger's neck and protect passenger safety. The system integrates advanced algorithm technology and sensor equipment to realize intelligent headrest adjustment services, thereby improving the level of driving intelligence. The system can continuously optimize and improve based on passenger feedback and actual needs to adapt to the personalized needs and preferences of different passengers.

[0090] A further technical solution of the present application is: in the emergency situation of a vehicle collision, the step S5 receives the dynamic data of the vehicle in real time through the impact force calculation module, including the collision acceleration and the collision direction;

[0091] The impact force calculation formula is:

[0092] F impact =m×a collision ×cos(θ collision )×(1+δ×v relative )

[0093] where F impact is the impact force, m is the passenger weight, a collision is the acceleration of the vehicle during collision, cos(θ collision ) is used to consider the directionality of the collision, θ is the damping coefficient, which reflects the interaction between the passenger and the seat. Its value depends on the seat material and the passenger's clothing. δ×v relative is the vertical velocity of the passenger relative to the seat at the moment of collision.

[0094] Specifically, in an emergency situation where a vehicle collides, the impact force calculation module receives real-time dynamic data of the vehicle, including collision acceleration, collision direction, etc. At the same time, the weight of the passenger and the vertical velocity change relative to the seat are obtained through the seat sensor.

[0095] Based on the received data, the vertical component of the collision acceleration, the damping coefficient θ, and the relative velocity change δv_relative are calculated.

[0096] Regarding the calculation of impact force: the calculated parameters are substituted into the impact force calculation formula to calculate the impact force on the passenger's neck. Finally, based on the calculated impact force, the position and angle of the headrest are adjusted in real time by controlling the electric headrest adjustment mechanism to reduce the impact and damage to the passenger's neck.

[0097] By calculating the impact force in real time and adjusting the position of the headrest, the impact and damage to the passenger's neck can be significantly reduced, improving safety in vehicle collisions. The system can make personalized adjustments based on factors such as the passenger's weight, sitting posture and seat status to provide the best protection for each passenger. The system can respond quickly and adjust the position of the headrest in an emergency situation when a vehicle collision occurs, improving the system's intelligence level and response speed.

[0098] The present invention integrates multiple modules such as information collection, posture analysis, strategy matching and calculation, follow-up adjustment, impact force calculation and buffering, safety monitoring, learning and optimization, etc., wherein the follow-up adjustment module accurately adjusts the height and angle of the headrest in real time according to the height, sitting posture and seat status of the passenger, ensuring that the passenger has the best head and neck support during driving. The safety monitoring module continuously monitors the vehicle status and the passenger's sitting posture, and takes immediate measures once an abnormality is found to ensure driving safety. More importantly, in an emergency situation where a vehicle collides, the impact force calculation module can quickly and accurately calculate the impact force of the headrest on the passenger's neck according to the vehicle's acceleration, collision direction and the passenger's sitting posture. Subsequently, the impact force calculation buffer module responds immediately, effectively absorbs and disperses the impact force by controlling the buffer mechanism inside the headrest, thereby protecting the passenger from injury to the greatest extent. In addition, the system also has learning and optimization functions, which can continuously optimize the headrest adjustment strategy according to the passenger's usage habits and preferences, and provide a more personalized riding experience.

[0099] The above is a schematic description of the present invention and its implementation methods, which is not restrictive. The drawings show only one implementation method of the present invention, and the actual structure is not limited thereto. Therefore, if a person skilled in the art is inspired by it and creatively designs a structure and an embodiment similar to the technical solution without departing from the purpose of the invention, they should all fall within the protection scope of the present invention.

[0100] In addition, it should be understood that although this specification is described according to implementation modes, not every implementation mode contains only independent technical solutions. This narrative method of the specification is only for the sake of clarity. Those skilled in the art should take the specification as a whole. The technical solutions in each embodiment can also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.

Claims

1. A headrest adjustment system that intelligently matches the height of a passenger, characterized in that: The system comprises an information collection module, a posture analysis module, a strategy matching and calculation module, a follow-up adjustment module, an impact force calculation module, an impact force calculation buffer module, a learning and optimization module and a safety monitoring module.

2. The headrest adjustment system for intelligently matching passenger height according to claim 1, characterized in that: The specific data includes passenger height, head position and neck angle.

3. The headrest adjustment system for intelligently matching passenger height according to claim 2, characterized in that: The information collection module also includes an infrared sensor for supplementarily capturing the height and sitting posture information of passengers in low-light or nighttime environments.

4. The headrest adjustment system for intelligently matching passenger height according to claim 1, characterized in that: The strategy matching and calculation module further includes a passenger comfort evaluation submodule, which further optimizes the adjustment strategy of the headrest based on the passenger's sitting posture, seat status and preset comfort standards to improve the passenger's riding experience while ensuring safety.

5. The headrest adjustment system for intelligently matching passenger height according to claim 1, characterized in that: The impact force calculation module also includes a vehicle dynamic data interface for receiving the vehicle dynamic data in real time.

6. The headrest adjustment system for intelligently matching passenger height according to claim 1, characterized in that: The learning and optimization module also includes a user feedback interface for receiving direct feedback from passengers on headrest adjustment results, analyzing the feedback data through a machine learning algorithm, and continuously learning and optimizing the headrest adjustment strategy to adapt to the personalized needs and preferences of different passengers.

7. A method for adjusting a headrest system to intelligently match the height of a passenger, characterized in that: The headrest adjustment system for intelligently matching the height of a passenger as claimed in claim 1 comprises the following steps: S1, using the in-car camera and seat sensor to capture the height, sitting posture and seat status of the passenger, and generate image information and vital sign data; S2. Analyze the passenger's sitting posture through the posture analysis module by combining the vital sign data and the specific data; S3. Calculate the target height and angle of the headrest to be adjusted based on the passenger's sitting posture and the seat status using a preset algorithm and formula; S4, receiving the output of the strategy matching and calculation module, and realizing real-time and precise adjustment of the headrest by controlling the electric headrest adjustment mechanism; S5. In an emergency situation where a vehicle collides, the impact force calculation module receives the dynamic data of the vehicle in real time, and quickly calculates the impact force of the headrest on the passenger's neck according to the acceleration of the vehicle, the passenger's sitting posture and the seat status; S6, real-time monitoring of vehicle status and passenger posture to ensure the system is always in the best protection state; S7, selecting a corresponding immediate control strategy according to the predicted immediate intention, and feeding back the immediate control strategy to the turn signal control module; S8. Receive direct feedback from passengers on the headrest adjustment results through the user feedback interface of the learning and optimization module; use machine learning algorithms to analyze the feedback data, and continuously learn and optimize the headrest adjustment strategy to adapt to the personalized needs and preferences of different passengers.

8. The control method of the headrest adjustment system for intelligently matching the height of a passenger according to claim 7, characterized in that: In step S3, the calculation formula of the target height is: H target =H passenger -ΔH-α×(H passenger -H seat )+β×θ seat Where Htarget is the target height of the headrest, Hpassenger is the height of the passenger, ΔH is the preset basic height difference, α is the dynamic adjustment factor related to the passenger's sitting posture, β is the correction coefficient of the seat tilt angle, and θ seat is the inclination angle of the seat (based on the horizontal plane); The target angle is calculated based on the passenger's neck angle θneck and the preset angle difference Δθ, while taking into account the passenger's head tilt angle θhead. The calculation formula is: i target =θ neck +Δθ-γ×(θ head -θ neck ) Among them, θ target is the target angle of the head restraint.

9. The control method of the headrest adjustment system for intelligently matching the height of a passenger according to claim 7, characterized in that: In the step S5, in an emergency situation when a vehicle collides, the dynamic data of the vehicle including the collision acceleration and the collision direction are received in real time through the impact force calculation module; The impact force calculation formula is: F impact =m×a collision ×cos(θ collision )×(1+δ×v relative ) Among them, F impact is the impact force, m is the passenger weight, a collision is the acceleration of the vehicle during collision, cos(θ collision ) is used to consider the directionality of the collision, θ is the damping coefficient, which reflects the interaction between the passenger and the seat. Its value depends on the seat material and the passenger's clothing. δ×v relative is the vertical velocity of the passenger relative to the seat at the moment of collision.

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