Intelligent welcome mode control method and system based on capacitive sensor human body recognition

By identifying human body electric field disturbances through capacitive sensors, combined with air suspension and fingerprint recognition, the problem of automatic adjustment and multi-user adaptation of traditional welcome systems has been solved, realizing a personalized and seamless user experience for vehicles.

CN121756800APending Publication Date: 2026-03-31WUHAN JIANGXIA CHUNENG AUTOMOBILE TECHNOLOGY R&D CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-02-03
Publication Date
2026-03-31

AI Technical Summary

Technical Problem

Traditional welcome systems cannot automatically recognize users approaching and make personalized adjustments. The systems work independently and lack coordination. They cannot adapt to different user body sizes, have limited recognition capabilities, result in a fragmented user experience, and have low technological integration.

Method used

It uses a capacitive sensor to measure the electric field disturbance of the human body, identifies the hip position through electric field separation, uses air suspension to adjust the vehicle state, and achieves seamless switching by combining fingerprint recognition and seat pressure sensor.

Benefits of technology

It enables vehicles to automatically adapt to the user's personalized settings, improves the user experience, reduces manual adjustments, provides personalized comfort settings, and supports seamless switching in multi-user scenarios.

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Abstract

The invention relates to an intelligent welcome mode control method and system based on capacitive sensor human body recognition, and the method comprises the steps: measuring the electric field disturbance when a human body is close to a vehicle, and determining the height contour of the human body based on the electric field disturbance; calculating the electric field separation degree of each height in the height contour, and determining the hip point position of the human body based on the electric field separation degree; and adjusting the suspension height based on the hip position and the height of the ground. Non-contact physical sign measurement is achieved through a capacitive sensor, then optimal adjusting parameters adapting to the human body are decided, an air suspension serves as an actuator, the vehicle state is adjusted, when a user pulls open a vehicle door, the height of the vehicle is adjusted to the most suitable state, and conversion from'people adapting to the vehicle 'to'the vehicle actively adapting to people' is achieved.
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Description

Technical Field

[0001] This invention relates to the field of intelligent vehicles, and in particular to an intelligent welcome mode control method and system based on human body recognition using capacitive sensors. Background Technology

[0002] As the level of automotive intelligence continues to improve, vehicle welcome systems also need to gradually develop towards intelligence and personalization. Problems with traditional welcome systems include: Passive adjustment: Requires manual operation of memory buttons or remote control by the user. Relies on preset user selection mechanisms; the system cannot sense user approach and respond automatically. Limited adjustment dimensions: Each system (seat, suspension, door) operates independently, lacking coordination. Inability to adapt to different users: The "one-size-fits-all" fixed adjustment range fails to capture the user's current body size data. The system design is based on average parameters rather than personalized needs. Limited recognition capabilities: Only able to identify "user identity" rather than "user status," relying on simple key signals or basic biometrics, lacking sensors capable of sensing body shape characteristics. Discontinuous user experience: Manual adjustment is required when switching between different users; the system cannot automatically recognize different users and seamlessly switch between them. Low technological integration: Each convenience function operates independently. The separate design of systems such as seat memory, suspension adjustment, and door control lacks a unified control platform, preventing unified collaborative optimization. Summary of the Invention

[0003] This invention addresses the technical problems existing in the prior art by providing an intelligent welcome mode control method and system based on human body recognition using capacitive sensors. It achieves non-contact measurement of vital signs through capacitive sensors, then determines the optimal adjustment parameters to suit the human body. The air suspension acts as an actuator to adjust the vehicle's state. When the user opens the car door, the vehicle height has already been adjusted to the most suitable state, realizing the transformation from "human adapting to car" to "car actively adapting to human".

[0004] According to a first aspect of the present invention, an intelligent welcoming mode control method based on human body recognition using a capacitive sensor is provided, comprising: Step 1: Measure the electric field disturbance when a human body approaches a vehicle, and determine the height profile of the human body based on the electric field disturbance. Step 2: Calculate the electric field separation degree at each height in the height profile, and determine the hip point position of the human body based on the electric field separation degree; Step 3: Adjust the suspension height based on the hip point position and the height of the ground.

[0005] Based on the above technical solution, the present invention can also be improved as follows.

[0006] Optionally, before step 1, the method further includes: arranging a capacitive sensor on the upper edge of the side door frame, the door handle, and the door sill to obtain a three-segment capacitive sensor.

[0007] Optionally, step 1 includes: measuring the height difference between the highest point of the electric field disturbance and the capacitive sensor arranged on the upper edge of the door frame, and obtaining the height profile of the human body based on the height difference and the height of the capacitive sensor.

[0008] Optionally, the formula for calculating the height H is: H = h + hd + hb; h is the roof height; hd is the height difference between the highest point where the electric field disturbance occurs and the capacitive sensor; hb is the compensation value. hb = (Sn / Sn+1) × d; Sn is the signal strength at the highest point where the electric field disturbance occurs, Sn+1 is the signal strength at the nearest point above the highest point where the electric field disturbance occurs, and d is the set cell spacing.

[0009] Optionally, step 2 includes: Based on the capacitive sensor located on the door handle, the critical height at which the electric field separation degree changes abruptly is identified, and the street-facing height is defined as the height of the hip point of the human body.

[0010] Optionally, step 3 includes: calculating the ideal threshold height corresponding to the human body based on the hip point position according to the set rules, and adjusting the threshold height to the ideal threshold height based on the real-time measurement of the suspension threshold height by the capacitive sensor arranged at the door threshold.

[0011] Optionally, the ideal threshold height = δ × hip point position height; δ is the set ratio coefficient between the hip point position height and the threshold.

[0012] Optionally, the control method further includes: when the key enters the vehicle sensing area and the fingerprint of the user is recognized by the fingerprint recognition module, if the fingerprint is determined to be a new fingerprint, steps 1-3 are executed and the suspension height corresponding to the fingerprint is stored; if the fingerprint is determined to be a previously stored fingerprint, the suspension height corresponding to the fingerprint is called to adjust the suspension height of the vehicle.

[0013] Optionally, the control method further includes: Based on the detection of a person sitting in the seat by a pressure sensor on the seat, the suspension is adjusted back to the user-set driving position. According to a second aspect of the invention, an intelligent welcome mode control system based on human body recognition using a capacitive sensor is provided, comprising: a capacitive sensor, a control unit, and a suspension; The capacitive sensor is used to measure the electric field disturbance when a human body approaches a vehicle. The control unit is used to determine the height profile of the human body based on the electric field disturbance; calculate the electric field separation degree at each height in the height profile; determine the hip point position of the human body based on the electric field separation degree; and adjust the height of the suspension based on the height of the hip point position relative to the ground.

[0014] This invention provides an intelligent welcoming mode control method and system based on human body recognition using a capacitive sensor. Attached Figure Description

[0015] Figure 1 A flowchart of an intelligent welcoming mode control method based on human body recognition using a capacitive sensor provided by the present invention; Figure 2 This is a structural block diagram of an embodiment of an intelligent welcoming mode control system based on human body recognition using a capacitive sensor, provided by the present invention. Detailed Implementation

[0016] The principles and features of the present invention are described below with reference to the accompanying drawings. The examples given are only for explaining the present invention and are not intended to limit the scope of the present invention.

[0017] Figure 1 A flowchart of an intelligent welcoming mode control method based on human body recognition using a capacitive sensor, provided by this invention, is shown below. Figure 1 As shown, the control method includes: Step 1: Measure the electric field disturbance when a human body approaches a vehicle, and determine the height profile of the human body based on the electric field disturbance.

[0018] Step 2: Calculate the electric field separation degree at each height in the height profile, and determine the hip point position of the human body based on the electric field separation degree.

[0019] Step 3: Adjust the suspension height based on the hip point position and the height of the ground.

[0020] This invention provides an intelligent welcome mode control method based on human body recognition using capacitive sensors. It achieves non-contact measurement of vital signs through capacitive sensors, and then determines the optimal adjustment parameters to adapt to the human body. The air suspension acts as an actuator to complete the adjustment of the vehicle's state. When the user opens the car door, the vehicle height has been adjusted to the most suitable state, realizing the transformation from "human adapting to car" to "car actively adapting to human".

[0021] Example 1 Embodiment 1 provided by this invention is an embodiment of an intelligent welcoming mode control method based on human body recognition using a capacitive sensor, combined with... Figure 1 It can be seen that embodiments of this control method include: A three-segment capacitive sensor is obtained by placing capacitive sensors on the upper edge of the side door frame, the door handle, and the door sill.

[0022] In practical implementation, the layout and application of the three-segment capacitive sensor are as follows: Upper segment (door frame): used for height measurement. Middle segment (door handle): primarily used for hip point positioning and torso measurement. Lower segment (sill): used for leg and foot position detection and to verify the actual height before and after suspension adjustment. By arranging them at different heights, a system capable of measuring human body parameters is formed.

[0023] Step 1: Measure the electric field disturbance when a human body approaches a vehicle, and determine the height profile of the human body based on the electric field disturbance.

[0024] In one possible embodiment, step 1 includes: measuring the height difference between the highest point of the electric field disturbance and the capacitive sensor based on a capacitive sensor arranged on the upper edge of the door frame, and obtaining the height profile of the human body based on the height difference and the height of the capacitive sensor.

[0025] In one possible embodiment, the formula for calculating height H is: H = h + hd + hb.

[0026] h is the roof height; hd is the height difference between the highest point where the electric field disturbance occurs and the capacitive sensor; hb is the compensation value.

[0027] hb = (Sn / Sn+1) × d.

[0028] Sn is the signal strength at the highest point where the electric field disturbance occurs, Sn+1 is the signal strength at the nearest point above the highest point where the electric field disturbance occurs, and d is the set cell spacing.

[0029] In practice, based on the three-segment capacitive height measurement method, when a human body approaches the capacitive sensor, it will change the electric field distribution around the sensor. The degree of electric field disturbance is inversely proportional to the distance. By monitoring the change of electric field of the capacitive unit, the outline position of the human body can be determined.

[0030] In practice, the height of the ankle joint can also be determined based on a capacitive sensor. The capacitive sensor identifies the body contour by detecting the perturbation of the electric field by the human body. When a person stands outside the car door, different parts of the body will perturb the electric field around the sensor to varying degrees. By analyzing the electric field change patterns, the human body contour can be reconstructed.

[0031] Step 2: Calculate the electric field separation degree at each height in the height profile, and determine the hip point position of the human body based on the electric field separation degree.

[0032] In one possible embodiment, step 2 includes: Based on the capacitive sensors placed on the door handles, the critical height at which the electric field separation changes abruptly is identified, and the street-facing height is defined as the height of the human hip position.

[0033] Specifically, in the implementation of hip point recognition based on electric field distribution patterns, the differences in electric field distribution patterns above and below the hip are used to analyze the electric field distribution characteristics at each height level. Above the hip point: the electric field exhibits a single-peak distribution, corresponding to the continuous torso. At the hip point: the electric field begins to show a tendency to separate to the left and right. Below the hip point: the electric field is clearly divided into two independent peaks, corresponding to the separated legs.

[0034] Therefore, by calculating the electric field separation index at each height, the critical height at which the electric field separation changes abruptly is identified, and this critical height is determined as the hip point position. The height of this hip point position above the ground is the driver's leg length.

[0035] Step 3: Adjust the suspension height based on the hip point position and the height of the ground.

[0036] In one possible embodiment, step 3 includes: calculating the ideal threshold height corresponding to the human body based on the hip point position according to a set rule, measuring the threshold height of the suspension in real time based on a capacitive sensor arranged at the door threshold, and adjusting the threshold height to the ideal threshold height.

[0037] In practice, the suspension height is adjusted based on leg length. A capacitive sensor at the door sill measures the suspension status and sill height before adjustment. Once an adjustment command is issued, the sill is raised or lowered based on its current height and ideal height to improve driver comfort when getting in. Simultaneously, the lowest suspension point continuously monitors ground clearance to ensure accurate suspension adjustment. If the calculated adjustment height exceeds the suspension travel, it is adjusted to the lowest point when lowering and the highest point when raising.

[0038] In one possible embodiment, the ideal threshold height = δ × hip point position height; δ is a set ratio coefficient between the hip point position height and the threshold.

[0039] In practice, the proportionality coefficient δ reflects the degree of knee and hip flexion when a person gets into the vehicle. Based on industry experience, the value of the proportionality coefficient δ is usually between 0.28 and 0.32.

[0040] In one possible embodiment, the control method further includes: when the key enters the vehicle sensing area and the user's fingerprint is recognized by the fingerprint recognition module, if the fingerprint is determined to be a new fingerprint, steps 1-3 are executed and the suspension height corresponding to the fingerprint is stored; if the fingerprint is determined to be a previously stored fingerprint, the suspension height corresponding to the fingerprint is called to adjust the vehicle's suspension height.

[0041] In practice, when the driver enters the vehicle for the first time, the key enters the vehicle's sensing area, activating the capacitive sensor and fingerprint recognition module. When the driver enters the three-segment electric field and touches the door handle, the fingerprint recognition module identifies the fingerprint information. Through the intrusion of the human body into the electric field, the system collects the person's height and posture information, and simultaneously identifies the fingerprint as unfamiliar. At this point, the air suspension will lower or raise the vehicle height accordingly to achieve optimal entry comfort. The seat pressure sensor monitors the occupant as they sit in the seat, and the air suspension returns to the user-set driving position, recording the data associated with this fingerprint. If the same fingerprint is detected again, the air suspension height will be directly adjusted to the optimal position. If a new fingerprint is detected, steps 1-3 will be repeated.

[0042] In one possible embodiment, the control method further includes: Once the pressure sensors on the seat detect that a person has sat down, the suspension is adjusted back to the driving position set by the user.

[0043] Example 2 Embodiment 2 provided by this invention is an embodiment of an intelligent welcoming mode control system based on human body recognition using a capacitive sensor. Figure 2 This is a structural diagram of an embodiment of an intelligent welcoming mode control system based on human body recognition using a capacitive sensor, provided by an embodiment of the present invention. Figure 2 As can be seen, this embodiment includes: a capacitive sensor, a control unit, and a suspension.

[0044] A capacitive sensor is used to measure electric field disturbances when a person approaches a vehicle.

[0045] The control unit is used to determine the height profile of the human body based on electric field disturbances; calculate the electric field separation degree at each height in the height profile; determine the hip point position of the human body based on the electric field separation degree; and adjust the suspension height based on the height of the hip point position relative to the ground. In practice, the suspension is height-adjustable.

[0046] In one possible embodiment, the control system further includes a door handle fingerprint recognition module and a seat pressure sensor.

[0047] When the key enters the vehicle's sensing area and the fingerprint recognition module on the door handle recognizes the user's fingerprint, if the fingerprint is new, the control unit calculates and adjusts the suspension height based on the user's height and stores the corresponding suspension height; if the fingerprint is already stored, the control unit calls the corresponding suspension height to adjust the vehicle's suspension height.

[0048] Once the seat pressure sensor detects that a person has sat in the seat, it adjusts the suspension back to the driving position set by the user.

[0049] It is understood that the intelligent welcoming mode control system based on human body recognition using a capacitive sensor provided by the present invention corresponds to the intelligent welcoming mode control method based on human body recognition using a capacitive sensor provided in the foregoing embodiments. The relevant technical features of the intelligent welcoming mode control system based on human body recognition using a capacitive sensor can be referred to the relevant technical features of the intelligent welcoming mode control method based on human body recognition using a capacitive sensor, and will not be repeated here.

[0050] This invention provides an intelligent welcome mode control method and system based on capacitive sensor human body recognition, constructing a closed-loop control system encompassing user identification, vital sign perception, decision-making control, and execution adjustment. A fingerprint module on the door handle enables accurate identity recognition. A three-segment capacitive sensor achieves contactless vital sign measurement, then determines the optimal adjustment parameters. The air suspension acts as an actuator to adjust the vehicle's state. Seat pressure sensor feedback enables the switching from a welcome posture to a driving posture. This achieves a transformation from "human adapting to the car" to "the car actively adapting to the human."

[0051] By utilizing an array of capacitive sensors mounted on the upper frame of the car door, non-contact and accurate height measurement is achieved by detecting the disturbance characteristics of the electric field caused by the human head. It features fast response and high accuracy.

[0052] The electric field separation degree of each height layer is calculated using three capacitive sensors. The hip point is defined as the critical height at which the separation degree changes abruptly. This allows for non-contact, rapid, and accurate measurement of leg length, providing a scientific basis for precise adjustment.

[0053] When the system detects an unfamiliar fingerprint, it triggers a capacitive sensor to measure vital signs and calculates the ideal threshold height, binding and storing this information to create a personalized user profile. For unfamiliar users, this achieves "optimal on first use," addressing the pain point of new users lacking historical data. For existing users, the profile is accessed directly, resulting in faster response times.

[0054] This invention provides an intelligent welcome mode control method and system based on capacitive sensor human body recognition, enabling personalized comfort settings: The system automatically completes identity recognition and body measurement without the user noticing, ensuring the vehicle height is already adjusted to the most suitable state when the user opens the door. It resolves adjustment conflicts in multi-user vehicle sharing scenarios: In family or multi-driver scenarios, the system can automatically identify different users and instantly switch to their comfort settings, avoiding manual readjustment after each user change. It possesses "optimal from the first use" adaptability: For new users, the system can provide a scientifically calculated, near-optimal comfort position through real-time body measurement and record their biometrics for future use. It establishes a deep "human-vehicle" interaction entry point: This system is not only for comfort adjustment but also a powerful user recognition and perception platform. The collected accurate human body data (height, leg length, sitting height, etc.) can provide data support for more personalized functions such as seats, steering wheels, air conditioning, and entertainment systems.

[0055] It should be noted that the descriptions of each embodiment in the above embodiments have different focuses. For parts that are not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0056] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0057] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0058] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0059] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0060] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.

[0061] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A smart welcoming mode control method based on human body recognition using capacitive sensors, characterized in that, The control method comprises: Step 1, measuring the electric field disturbance when the human body approaches the vehicle, and determining the height profile of the human body based on the electric field disturbance; Step 2, calculating the electric field separation degree of each height in the height profile, and determining the hip point position of the human body based on the electric field separation degree; Step 3, adjusting the suspension height based on the height of the hip point position from the ground.

2. The control method according to claim 1, characterized by, Before the step 1, the method further comprises: arranging the capacitive sensor on the side door frame, the door handle and the door sill to obtain a three-section capacitive sensor.

3. The control method according to claim 2, characterized by, The step 1 comprises: measuring the height difference between the highest point generating the electric field disturbance and the capacitive sensor based on the capacitive sensor arranged on the door frame, and obtaining the height profile of the human body based on the height difference and the height of the capacitive sensor.

4. The control method according to claim 2, characterized by, The calculation formula of the height H is: H = h + hd + hb; h is the roof height; hd is the height difference between the highest point generating the electric field disturbance and the capacitive sensor; and hb is a compensation value. hb = (Sn / Sn+1) x d; Sn is the signal strength of the highest point generating the electric field disturbance, Sn+1 is the signal strength of the adjacent point above the highest point generating the electric field disturbance, and d is the set unit distance.

5. The control method according to claim 2, characterized by, The step 2 comprises: Identifying the critical height at which the electric field separation degree changes based on the capacitive sensor arranged on the door handle, and defining the critical height as the height of the hip point position of the human body.

6. The control method according to claim 2, characterized by, The step 3 comprises: calculating the ideal door sill height corresponding to the human body based on the hip point position according to a set rule, measuring the door sill height of the suspension in real time based on the capacitive sensor arranged at the door sill, and adjusting the door sill height to the ideal door sill height.

7. The control method according to claim 6, characterized by The ideal door sill height = δ x hip point position height; δ is a set proportion coefficient of the hip point position height and the door sill.

8. The control method according to claim 1, characterized by, The control method further comprises: when the key enters the vehicle sensing area and the fingerprint recognition module recognizes the fingerprint of the user, if the fingerprint is a new fingerprint, steps 1-3 are executed and the suspension height corresponding to the fingerprint is stored; and if the fingerprint is an already stored fingerprint, the suspension height corresponding to the fingerprint is called to adjust the suspension height of the vehicle.

9. The control method according to claim 1, characterized by, The control method further comprises: After the pressure sensor on the seat detects that a human body is seated on the seat, the suspension is adjusted back to the driving position set by the user.

10. An intelligent welcome mode control system based on human body recognition using capacitive sensors, characterized in that, The control system comprises: a capacitive sensor, a control unit and a suspension; The capacitive sensor is used to measure the electric field disturbance when the human body approaches the vehicle, The control unit is used to determine the height profile of the human body based on the electric field disturbance, calculate the electric field separation degree of each height in the height profile, determine the hip point position of the human body based on the electric field separation degree, and adjust the height of the suspension based on the height of the hip point position from the ground.