CN112248886A - Automatic seat adjusting method - Google Patents

Automatic seat adjusting method Download PDF

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Publication number
CN112248886A
CN112248886A CN202011193663.1A CN202011193663A CN112248886A CN 112248886 A CN112248886 A CN 112248886A CN 202011193663 A CN202011193663 A CN 202011193663A CN 112248886 A CN112248886 A CN 112248886A
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China
Prior art keywords
image
seat
human body
edge
images
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CN202011193663.1A
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Chinese (zh)
Inventor
刘鹏
蒋然屹
李浩文
彭莉莎
肖嵩
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Southwest Jiaotong University
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Southwest Jiaotong University
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Priority to CN202011193663.1A priority Critical patent/CN112248886A/en
Publication of CN112248886A publication Critical patent/CN112248886A/en
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60NSEATS SPECIALLY ADAPTED FOR VEHICLES; VEHICLE PASSENGER ACCOMMODATION NOT OTHERWISE PROVIDED FOR
    • B60N2/00Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles
    • B60N2/02Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles the seat or part thereof being movable, e.g. adjustable
    • B60N2/0224Non-manual adjustments, e.g. with electrical operation
    • B60N2/0244Non-manual adjustments, e.g. with electrical operation with logic circuits
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60NSEATS SPECIALLY ADAPTED FOR VEHICLES; VEHICLE PASSENGER ACCOMMODATION NOT OTHERWISE PROVIDED FOR
    • B60N2/00Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles
    • B60N2/002Seats provided with an occupancy detection means mounted therein or thereon
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60NSEATS SPECIALLY ADAPTED FOR VEHICLES; VEHICLE PASSENGER ACCOMMODATION NOT OTHERWISE PROVIDED FOR
    • B60N2/00Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles
    • B60N2/02Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles the seat or part thereof being movable, e.g. adjustable
    • B60N2/0224Non-manual adjustments, e.g. with electrical operation
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60NSEATS SPECIALLY ADAPTED FOR VEHICLES; VEHICLE PASSENGER ACCOMMODATION NOT OTHERWISE PROVIDED FOR
    • B60N2/00Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles
    • B60N2/02Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles the seat or part thereof being movable, e.g. adjustable
    • B60N2/0224Non-manual adjustments, e.g. with electrical operation
    • B60N2/0244Non-manual adjustments, e.g. with electrical operation with logic circuits
    • B60N2/0268Non-manual adjustments, e.g. with electrical operation with logic circuits using sensors or detectors for adapting the seat or seat part, e.g. to the position of an occupant
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60NSEATS SPECIALLY ADAPTED FOR VEHICLES; VEHICLE PASSENGER ACCOMMODATION NOT OTHERWISE PROVIDED FOR
    • B60N2/00Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles
    • B60N2/02Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles the seat or part thereof being movable, e.g. adjustable
    • B60N2/04Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles the seat or part thereof being movable, e.g. adjustable the whole seat being movable
    • B60N2/06Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles the seat or part thereof being movable, e.g. adjustable the whole seat being movable slidable
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60NSEATS SPECIALLY ADAPTED FOR VEHICLES; VEHICLE PASSENGER ACCOMMODATION NOT OTHERWISE PROVIDED FOR
    • B60N2/00Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles
    • B60N2/02Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles the seat or part thereof being movable, e.g. adjustable
    • B60N2/04Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles the seat or part thereof being movable, e.g. adjustable the whole seat being movable
    • B60N2/16Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles the seat or part thereof being movable, e.g. adjustable the whole seat being movable height-adjustable
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60NSEATS SPECIALLY ADAPTED FOR VEHICLES; VEHICLE PASSENGER ACCOMMODATION NOT OTHERWISE PROVIDED FOR
    • B60N2/00Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles
    • B60N2/02Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles the seat or part thereof being movable, e.g. adjustable
    • B60N2/22Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles the seat or part thereof being movable, e.g. adjustable the back-rest being adjustable
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60RVEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R16/00Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
    • B60R16/02Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
    • B60R16/037Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements for occupant comfort, e.g. for automatic adjustment of appliances according to personal settings, e.g. seats, mirrors, steering wheel

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  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Transportation (AREA)
  • Length Measuring Devices By Optical Means (AREA)

Abstract

The invention provides an automatic seat adjusting method, which relates to the technical field of intelligent seats and comprises the steps of shooting images by an infrared camera within a target distance, extracting human body images from the shot images, detecting the edges of the images by a Roberts operator with high positioning precision to obtain edge detection images, putting the obtained edge detection images into a rectangular coordinate system to obtain the coordinates of the edges of the images, identifying human body parts and the sizes of all the parts to obtain the weight of a person, and adjusting the seat according to the weight and the sizes of the human body parts. The problem of manual regulation seat height and back of the chair angle waste time and energy and can't scientific control degree of regulation among the prior art is solved.

Description

Automatic seat adjusting method
Technical Field
The invention relates to the technical field of intelligent seats, in particular to an automatic seat adjusting method.
Background
As is known from seat ergonomics, a qualified seat should be based on the principle that: on the basis of referring to human body data, firstly, passengers can keep a good sitting posture, the spine is close to a natural bending state, the shape and the curve of the seat backrest are matched with the curved surface of the human body in a relaxed state, the lumbar vertebra part is reasonably supported, and the pressure between the front end of the thigh and the seat is reduced as much as possible so as to avoid numbness caused by poor blood circulation.
In the existing seat, the height of the seat and the inclination angle of the backrest are mostly adjusted by a passenger at the initial stage of taking, the adjustment standard is mostly determined by the subjective judgment of the passenger to meet certain comfort level, the subjective judgment accuracy is low, and particularly for the seat used on an automobile, the seat not only meets the comfort level of the passenger for taking for a long time and the fatigue resistance of long-time driving, but also protects the passenger from being injured or reduces the injury during an emergency, so whether the seat can provide comfortable support for the waist and whether the cushion depth meets the thigh size of the passenger or not are key control factors.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides an automatic seat adjusting method, which solves the problems that the manual adjustment of the height of a seat and the angle of a chair back wastes time and labor and the adjustment degree cannot be scientifically controlled in the prior art.
In order to achieve the purpose of the invention, the technical scheme adopted by the invention is as follows:
provided is an automatic seat adjusting method, which comprises the following steps:
s1, detecting whether a person enters a target distance by using an infrared distance sensor, outputting a preset posture adjustment voice broadcast if the person enters, and shooting an image by using an infrared camera;
s2, preprocessing the image through noise elimination and image enhancement, and extracting the image according to a preset human body temperature threshold value to obtain a human body image;
s3, detecting the image edge by using a Roberts operator with high positioning accuracy, then carrying out gray threshold processing, selecting a proper threshold T based on the image identification requirement, carrying out threshold judgment on the image, and removing unnecessary redundant information to obtain a final edge detection image;
s4, placing the obtained edge detection image into a rectangular coordinate system to obtain the coordinate of the edge of the image, calculating the width of the adjacent edge of the image according to the coordinate, comparing the width with the prestored human body data to identify the human body part, and calculating the height, the leg length and the arm length according to the coordinate value;
s5, obtaining the weight of the person according to a weighing sensor installed in the seat;
and S6, calculating the height of the seat, the inclination angle of the backrest and the horizontal position of the seat according to the height, the leg length, the arm length and the weight of the person, and then controlling a height adjuster, an angle adjuster and a sliding device on the seat to adjust the seat to a target state and a target position.
The invention has the beneficial effects that: the height of the seat, the inclination angle of the backrest and the horizontal position of the seat can be automatically and scientifically adjusted according to the height, the leg length, the arm length and the body weight of each passenger, the trouble of manual adjustment is avoided, the use is more convenient and intelligent, the riding comfort is better for a long time, and the automobile seat like a main driving seat enables the positions between a driver and a brake, an accelerator and a steering wheel to be more accordant with ergonomics, and the fatigue resistance and the safety are improved.
Drawings
Fig. 1 is a flow chart of a method of automatic seat adjustment.
Detailed Description
The following description of the embodiments of the present invention is provided to facilitate the understanding of the present invention by those skilled in the art, but it should be understood that the present invention is not limited to the scope of the embodiments, and it will be apparent to those skilled in the art that various changes may be made without departing from the spirit and scope of the invention as defined and defined in the appended claims, and all matters produced by the invention using the inventive concept are protected.
As shown in fig. 1, the automatic seat adjustment method includes the steps of:
and S1, detecting whether a person enters the target distance by using the infrared distance sensor, outputting preset posture adjustment voice broadcast if the person enters the target distance, and shooting images by using the infrared camera.
For a common seat, an infrared distance sensor and an infrared camera can be mounted on a seat back of the seat to detect a person approaching the seat, when the distance between the person and the seat back is less than or equal to 1 m, a master controller controls a player to play preset voice information, and the voice information comprises that a passenger is right opposite to the infrared camera, an arm inclines downwards and is separated from a body and two legs are separated, so that the contour of the arm is not repeated with the contour of the body, and the contour between the two legs is not repeated, and edge identification is conveniently carried out on an image subsequently; the human body is just facing to the infrared camera so that the image of shooing is the front view state to follow-up can accurately through the width discernment human body position between the adjacent profile, because if the human body if slope, the width between the adjacent profile that obtains can be on the small side and be less than preset human body data, can lead to human body position can't discern.
After the gesture adjustment voice broadcast is finished, after a certain time, the time is usually 1-2 minutes to reserve enough gesture adjustment time for passengers, and then the infrared camera is controlled to shoot images. The infrared camera adopts a thermal imaging technology, invisible infrared energy emitted by an object is converted into visible thermal images through the infrared camera, different colors on the thermal images represent different temperatures of the object to be measured, and the edges of the obtained images are clearer and easier to identify compared with the edges of common images.
And S2, preprocessing the image through noise elimination and image enhancement, and extracting the image according to a preset human body temperature threshold value to obtain a human body image.
The method for identifying the noise points before denoising the image comprises the following steps:
obtaining any target pixel point x (i, j) from an image, obtaining a neighborhood S by taking the target pixel point as a center, calculating a mean value m and a mean square error sigma of all pixels in the neighborhood S, and calculating a deviation sigma x between the x (i, j) and the mean value m, wherein if the deviation sigma y between at least more than one pixel point y (i, j) and the x (i, j) in the neighborhood S is less than the sigma x, the x (i, j) is an edge point of the image, and if not, the x (i, j) is a noise point. And then denoising by adopting a P-M diffusion equation method, wherein the P-M diffusion equation is developed from a heat conduction equation, the image denoising principle based on the heat conduction equation is similar to a Gaussian filter formula and is an anisotropic diffusion equation, the edge of the image can be blurred during denoising, and the P-M equation connects the characteristics of different areas of the image with the diffusion process, namely the diffusion coefficient along each direction is not constant but changes along with the gradient module value of the image, so that the noise can be removed, the edge can be protected from being smoothed, and the edge of the image cannot be influenced by the denoising process.
In infrared imaging, different temperatures correspond to different colors, red and pink indicate higher temperatures, blue and green indicate lower temperatures, and a temperature threshold corresponds to a color range, and extraction of human body images is completed by extracting images in the color range. The body temperature of the human body is higher than the ambient temperature, so that only passengers exist in the shooting range of the infrared camera, the difficulty of extracting the human body image can be reduced, and the accuracy is improved.
S3, detecting the image edge by using a Roberts operator with high positioning accuracy, then carrying out gray threshold processing, selecting a proper threshold T based on the image identification requirement, carrying out threshold judgment on the image, and removing unnecessary redundant information to obtain a final edge detection image.
The specific method for detecting the image edge by the Roberts operator is as follows: assuming that the image pixel values are f (i, j), substituting the absolute values for the differential approximations is: g (i, j) ═ f (i, j) -f (i +1, j +1)]+[f(i+1,j)-f(i,j+1)](ii) a Expressed by a convolution template, the convolution operators of Gx and Gy are respectively
Figure BDA0002753441400000041
S4, placing the obtained edge detection image into a rectangular coordinate system, obtaining coordinates of the image edge, that is, any edge point corresponds to an X-axis and Y-axis coordinate value, calculating the width of the adjacent edge of the image according to the coordinates, specifically, under the same Y-axis coordinate, different X-axis coordinates represent different positions in the horizontal direction, for example, the arm, the X coordinate of the edge of the leftmost end represents the outer edge of the right hand, the inner edge of the right hand is adjacent to the X coordinate of the inner edge, and subtracting the X coordinate of the outer edge of the right hand from the X coordinate of the inner edge is the width of the arm at the Y coordinate (ignoring the error caused by the arm tilt). Similarly, the difference between two adjacent X coordinates of the whole edge detection image on any Y coordinate can be obtained, and the difference is the width of two adjacent edges. The pre-stored human body data refers to the general widths of some parts of the human body, such as the widths of the arms, the waist, the head and the legs, which are obtained through statistics.
And comparing the widths of the two adjacent edges with the prestored human body data to identify the human body part, and calculating the height, the leg length and the arm length according to the coordinate values. After the human body part, such as the thigh, is judged, the length of the thigh can be obtained by combining the difference value between the maximum value and the minimum value of the Y coordinate of the thigh part. The height, leg length and arm length are obtained in the same way.
And S5, obtaining the weight of the person according to the weighing sensor installed in the seat. The passenger sits on the seat after being photographed by the infrared camera, the weight of the passenger is obtained by weighing by the weighing sensor on the seat, and the shape of the passenger can be calculated according to the proportion of the weight to the height of the passenger.
And S6, calculating the height of the seat, the inclination angle of the backrest and the horizontal position of the seat according to the height, the leg length, the arm length and the weight of the person, and then controlling a height adjuster, an angle adjuster and a sliding device on the seat to adjust the seat to a target state and a target position, wherein the specific settings of the height adjuster, the angle adjuster and the sliding device of the seat refer to the settings of the electrically adjusted automobile seat.

Claims (5)

1. An automatic seat adjustment method is characterized by comprising the following steps:
s1, detecting whether a person enters a target distance by using an infrared distance sensor, outputting a preset posture adjustment voice broadcast if the person enters, and shooting an image by using an infrared camera;
s2, preprocessing the image through noise elimination and image enhancement, and extracting the image according to a preset human body temperature threshold value to obtain a human body image;
s3, detecting the image edge by using a Roberts operator with high positioning accuracy, then carrying out gray threshold processing, selecting a proper threshold T based on the image identification requirement, carrying out threshold judgment on the image, and removing unnecessary redundant information to obtain a final edge detection image;
s4, placing the obtained edge detection image into a rectangular coordinate system to obtain the coordinate of the edge of the image, calculating the width of the adjacent edge of the image according to the coordinate, comparing the width with the prestored human body data to identify the human body part, and calculating the height, the leg length and the arm length according to the coordinate value;
s5, obtaining the weight of the person according to a weighing sensor installed in the seat;
and S6, calculating the height of the seat, the inclination angle of the backrest and the horizontal position of the seat according to the height, the leg length, the arm length and the weight of the person, and then controlling a height adjuster, an angle adjuster and a sliding device on the seat to adjust the seat to a target state and a target position.
2. The automatic seat adjustment method according to claim 1, wherein the posture adjustment in step S1 includes the human body facing the infrared camera, the arms being inclined downward and separated from the body, and the legs being separated.
3. The seat automatic adjustment method according to claim 1, wherein the target distance detected by the infrared distance sensor in the step S1 is not more than 1 meter.
4. The seat automatic adjustment method according to claim 1, wherein the method of identifying the noise point before denoising the image in step S2 is:
obtaining any target pixel point x (i, j) from the image, taking the target pixel point as the center,obtaining a neighborhood S, calculating the mean value m and the mean square error sigma of all pixels in the neighborhood S, and calculating the deviation sigma between x (i, j) and the mean value mxIf the deviation sigma between at least more than one pixel point y (i, j) and x (i, j) in the neighborhood S isyxThen x (i, j) is the edge point of the image, otherwise x (i, j) is the noise point.
5. The seat automatic adjustment method according to claim 1, wherein the Roberts operator in step S3 detects the edge of the image by the following method: assuming that the image pixel values are f (i, j), substituting the absolute values for the differential approximations is: g (i, j) ═ f (i, j) -f (i +1, j +1)]+[f(i+1,j)-f(i,j+1)](ii) a Expressed by a convolution template, GxAnd GyRespectively of
Figure FDA0002753441390000021
CN202011193663.1A 2020-10-30 2020-10-30 Automatic seat adjusting method Pending CN112248886A (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113511115A (en) * 2021-05-28 2021-10-19 南昌智能新能源汽车研究院 Binocular vision-based intelligent control method for automobile seat posture
CN113771703A (en) * 2021-07-30 2021-12-10 的卢技术有限公司 Automobile copilot seat adjusting method and system
CN114179944A (en) * 2021-12-29 2022-03-15 海固科技(苏州)有限公司 Seat height adjusting system, method, device and medium
CN114872591A (en) * 2022-04-28 2022-08-09 上海电机学院 Self-adaptive adjusting system for main driving seat of automobile

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CN113511115A (en) * 2021-05-28 2021-10-19 南昌智能新能源汽车研究院 Binocular vision-based intelligent control method for automobile seat posture
CN113771703A (en) * 2021-07-30 2021-12-10 的卢技术有限公司 Automobile copilot seat adjusting method and system
CN113771703B (en) * 2021-07-30 2024-03-26 的卢技术有限公司 Automobile co-driver seat adjusting method and system
CN114179944A (en) * 2021-12-29 2022-03-15 海固科技(苏州)有限公司 Seat height adjusting system, method, device and medium
CN114872591A (en) * 2022-04-28 2022-08-09 上海电机学院 Self-adaptive adjusting system for main driving seat of automobile

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