Study room mode interaction system and interaction method suitable for vehicles

Abstract

The present application discloses a study mode interaction system and method suitable for vehicles, which relates to the field of vehicle control technology, including collecting the real-time body contour to obtain a first score after adjusting the seat according to the body shape; collecting the real-time arm contour to obtain a second score after adjusting the table board according to the real-time body contour; calculating the angle between the upper face and the display screen to obtain a third score after adjusting the height and inclination of the display screen according to the real-time eye coordinates and the real-time forehead coordinates; collecting the real-time arm contour to obtain a fourth score after adjusting the bookshelf according to the position of the seat, the table board, and the display screen; collecting the table board surface image and calculating the real-time shadow area of ​​the table board surface to obtain a fifth score after adjusting the light array according to the real-time seat position and the table board surface image; and obtaining the overall score of the study mode according to the five scores. The present application improves the adjustment efficiency of the study mode and the comfort of the study mode by adjusting multiple study configuration parts and performing multi-dimensional scoring.

Description

Technical Field

[0001] The present application relates to the field of vehicle control technology, and in particular to a study mode interaction system and interaction method suitable for a vehicle. Background Art

[0002] Studying and working are important parts of life and affect the quality of life. Having a comfortable, quiet and intelligent study environment is what many people pursue, but many families do not have a dedicated study room, and some families live in a noisy environment, which is not conducive to quiet study and work. The popularity of vehicles in families is already high. If the vehicle cabin can provide a comfortable, quiet and intelligent study environment with one click, it will be a wonderful experience for users.

[0003] As far as the current intelligent cockpit control and adjustment systems or intelligent cockpit control and adjustment methods are concerned, they tend to provide users with a comfortable rest and entertainment space or sleeping space, but are less inclined to work and study functions, and cannot provide passengers with a comfortable and healthy learning and working environment. Among these existing solutions, either one seat or multiple seats are used to achieve joint movement to provide users with a rest and entertainment space, or an inflatable mattress is automatically opened to provide users with a sleeping space. Some solutions manually open the table board to provide simple functions such as placing items. It is impossible to jointly evaluate and modulate from multiple dimensions to jointly optimize the vehicle cockpit adjustment system, and it is impossible to use the vehicle cockpit to provide a comfortable and intelligent learning and working space. Summary of the invention

[0004] In view of the defects existing in the prior art, the purpose of this application is to provide a study mode interaction system and method suitable for vehicles, to adjust multiple study configuration components and perform multi-dimensional scoring, to improve the adjustment efficiency of the study mode and to improve the comfort of the study mode.

[0005] In order to achieve the above objectives, the technical solutions adopted are:

[0006] In a first aspect, the present application provides a study mode interactive system applicable to a vehicle, wherein the interior of the vehicle includes a plurality of study configuration components, the study configuration components including a seat, a table board, a display screen, a bookshelf, and a light array, the table board being arranged behind a seat back; the system includes:

[0007] A morphology recognition module is used to collect the morphology information and in-vehicle image information of the passenger, wherein the morphology information includes body shape and real-time posture, wherein the body shape includes height and weight, wherein the real-time posture includes real-time body contour, real-time arm contour, real-time eye coordinates, real-time forehead coordinates, and real-time seat position, and wherein the in-vehicle image information includes a table surface image;

[0008] A control module, which is used to collect the real-time body contour and the standard body contour for coincidence evaluation to obtain a first score after adjusting the seat according to the body shape;

[0009] It is also used to collect the real-time arm contour and the standard arm contour for coincidence evaluation to obtain a second score after adjusting the table board according to the real-time body contour;

[0010] It is also used to adjust the height and inclination of the display screen according to the real-time eye coordinates and the real-time forehead coordinates, and then calculate the angle between the upper face and the display screen to obtain a third score;

[0011] It is also used to collect the real-time arm profile after adjusting the bookshelf according to the position of the seat, table, and display screen, and obtain the fourth score according to the distance between the passenger's fingertips and the bookshelf;

[0012] It is also used to adjust the light array according to the real-time seat and table surface images, collect the table surface image and calculate the real-time shadow area of ​​the table surface, and calculate the ratio of the real-time shadow area to the theoretical shadow area to obtain the fifth score;

[0013] It is also used to select at least one of the five scores as a key single score, obtain an overall score of the study room mode according to the five scores, and feedback-adjust the multiple study room accessories according to the overall score and the preset score limits of the key single scores.

[0014] In some embodiments, the system further comprises:

[0015] A start-stop module, which is used to receive a start signal and a stop signal of the study mode input by a user; the control module starts running after receiving the start signal, and stops running after receiving the stop signal;

[0016] A reset module is used to receive a reset signal of the study mode input by the user; the control module resets the multiple study configuration components after receiving the reset signal, and the reset order of the multiple study configuration components is bookshelf, display screen, table top, and chair.

[0017] In some embodiments, the control module is also used to pre-store a three-dimensional model of the interior of the cabin, construct a three-dimensional model of the passenger after acquiring the morphological information, and add the three-dimensional model of the passenger to the three-dimensional model of the interior of the cabin to obtain a real-time study mode model.

[0018] In some embodiments, the control module is used to determine the closest distance between the passenger and the seat in front of him according to the study mode model, and when the closest distance is less than a first threshold, move the passenger's seat in front of him forward until the minimum distance is not less than the first threshold, and then adjust the height of the seat the passenger is sitting on and the inclination angle of the seat back according to the body shape of the passenger;

[0019] After the control module adjusts the seat, the real-time body contour and the standard body contour are collected to evaluate the overlap, and the overlap is proportional to the first score.

[0020] In some embodiments, the control module is used to control the table to open after the seat is adjusted, determine the minimum distance between the passenger and the table according to the study mode model, and when the minimum distance is less than a second threshold, move the front seat of the passenger forward until the minimum distance is not less than the second threshold, prompt the passenger to place his arm on the table through voice and obtain the real-time arm contour, and adjust the height of the table based on the standard arm contour;

[0021] After the control module adjusts the table top, the real-time arm contour and the standard arm contour are collected to evaluate the overlap, and the overlap is proportional to the second score.

[0022] In some embodiments, the control module is used to calculate the coordinates of the midpoint of the eye line according to the real-time eye coordinates after adjusting the table top, adjust the height of the center point of the display screen toward the height of the midpoint of the eye line, obtain the upper face inclination angle according to the real-time eye coordinates and the real-time forehead coordinates, and adjust the display screen inclination angle toward the upper face inclination angle;

[0023] After the control module adjusts the display screen, the angle between the upper portion and the display screen is collected, and a third score is obtained according to the angle.

[0024] In some embodiments, the control module is used to update the study mode model according to the movement of the seat, the table, and the display screen after adjusting the display screen, and adjust the position of the bookshelf according to the study mode model;

[0025] After the control module adjusts the bookshelf, it prompts the passenger to stretch his arm toward the bookshelf through voice, collects the real-time arm contour, obtains the distance between the passenger's fingertips and the bookshelf based on the real-time arm contour, and obtains a fourth score based on the distance.

[0026] In some embodiments, the control module is used to turn on the light array near the passenger according to the study mode model after adjusting the bookshelf, determine the shadow areas of the four regions of the upper left, upper right, lower left, and lower right of the upper surface of the table board according to the table board surface image, and adjust the lighting angles of the light array at the corresponding positions according to the shadow areas of the four regions until the shadow area is minimized;

[0027] After adjusting the light array, the control module collects the table surface image and calculates the real-time shadow area of ​​the table surface, and obtains the fifth score based on the area.

[0028] In some embodiments, the control module calculates the overall score of the study mode by setting weights for the five-point scores respectively;

[0029] The control module determines the weighted adjustment value of the fifth score, and when the adjustment value is less than the score threshold, adjusts the study configuration component according to a preset adjustment strategy, and calculates the adjustment value after each adjustment, and stops adjusting when the adjustment value is less than the score threshold and the adjustment time exceeds the time threshold;

[0030] The preset adjustment strategy includes rotating the electric screen backward when it is determined based on the table surface image that the shadow areas on the upper left and upper right of the table surface exceed the regional shadow area threshold, tilting the table and chair backs backward when it is determined based on the table surface image that the shadow areas on the lower left and lower right of the table surface exceed the regional shadow area threshold, and adjusting the electric screen downward and tilting the table and chair backs backward when it is determined based on the table surface image that the overall shadow area of ​​the table surface exceeds the overall shadow area threshold.

[0031] A study mode interaction method applicable to a vehicle is based on the study mode interaction system applicable to a vehicle; the method comprises:

[0032] After adjusting the seat according to the passenger's body shape, the real-time body contour is collected and evaluated for coincidence with the standard body contour to obtain a first score;

[0033] After adjusting the table board according to the real-time body contour of the passenger, the real-time arm contour and the standard arm contour are collected to evaluate the overlap and obtain a second score;

[0034] After adjusting the height and inclination of the display screen according to the real-time eye coordinates and the real-time forehead coordinates, the angle between the upper face and the display screen is calculated to obtain a third score;

[0035] After adjusting the bookshelf according to the position of the seat, table, and display screen, the real-time arm profile is collected, and the fourth score is obtained based on the distance between the passenger's fingertips and the bookshelf;

[0036] After adjusting the light array according to the real-time seat and table surface images, the table surface image is collected and the real-time shadow area of ​​the table surface is calculated. The ratio of the real-time shadow area to the theoretical shadow area is calculated to obtain the fifth score;

[0037] At least one of the five scores is selected as a key single score, an overall score of the study mode is obtained according to the five scores, and the plurality of study accessories are feedback-adjusted according to the overall score and a preset score limit of the key single score.

[0038] The beneficial effects of the technical solution provided by this application include:

[0039] Compared with the existing smart cockpit solutions that focus on functions such as rest, sleep, and entertainment, there is a problem of less functional support for study and work. The present invention evaluates from five dimensions through multiple combined multi-degree-of-freedom adaptive adjustments of seats, table tops, bookshelves, display screens, and light arrays, and comprehensively adjusts the time to complete the optimal setting of the study mode interaction system, providing users with an automatically arranged study environment with the advantages of comfortable sitting, convenient writing, and protection of the lumbar and cervical vertebrae. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 Schematic diagram of functional modules of a study mode interaction system suitable for a vehicle in an embodiment of the present invention.

[0041] Figure 2 The present invention is a flowchart of a study mode interaction method applicable to a vehicle in an embodiment of the present invention. DETAILED DESCRIPTION

[0042] The present application is further described in detail below with reference to the accompanying drawings and embodiments.

[0043] An embodiment of the present invention provides a study mode interaction system suitable for a vehicle, comprising: adjusting the seat according to the body shape, collecting the real-time body contour to obtain a first score. After adjusting the table according to the real-time body contour, collecting the real-time arm contour to obtain a second score. After adjusting the height and inclination of the display screen according to the real-time eye coordinates and the real-time forehead coordinates, calculating the angle between the upper face and the display screen to obtain a third score. After adjusting the bookshelf according to the position of the seat, the table, and the display screen, collecting the real-time arm contour, and obtaining a fourth score according to the distance between the passenger's fingertips and the bookshelf. After adjusting the light array according to the real-time seat position and the table surface image, collecting the table surface image and calculating the real-time shadow area of ​​the table surface to obtain a fifth score. The overall score of the study mode is obtained based on the five scores. The present invention improves the adjustment efficiency of the study mode and the comfort of the study mode by adjusting multiple study configuration components and performing multi-dimensional scoring.

[0044] In a specific embodiment, Figure 1 As shown, the vehicle interior includes a plurality of study room components, including seats, table boards, display screens, bookshelves, and light arrays, and the table boards are arranged behind the seat backs. The system includes a form recognition module 1 and a control module 2.

[0045] The morphological recognition module 1 is used to collect the passenger's morphological information and in-vehicle image information. The above-mentioned morphological information includes body shape and real-time posture. The above-mentioned body shape includes height and weight. The above-mentioned real-time posture includes real-time body contour, real-time arm contour, real-time eye coordinates, real-time forehead coordinates, and real-time sitting position. The above-mentioned in-vehicle image information includes the table surface image.

[0046] Comparison between the preset sitting posture model and the passenger model allows for more adequate adjustments.

[0047] The control module 2 is used to collect the real-time body contour and the standard body contour for coincidence evaluation to obtain a first score after adjusting the seat according to the body shape. It is also used to collect the real-time arm contour and the standard arm contour for coincidence evaluation to obtain a second score after adjusting the table board according to the real-time body contour. It is also used to adjust the height and inclination of the display screen according to the real-time eye coordinates and the real-time forehead coordinates, and calculate the angle between the upper face and the display screen to obtain a third score. It is also used to collect the real-time arm contour after adjusting the bookshelf according to the position of the seat, the table board, and the display screen, and obtain a fourth score according to the distance between the passenger's fingertips and the bookshelf. It is also used to collect the table board surface image and calculate the real-time shadow area of ​​the table board surface after adjusting the light array according to the real-time seat and the table board surface image, and calculate the ratio of the real-time shadow area to the theoretical shadow area to obtain a fifth score. It is also used to obtain the overall score of the study mode according to the above five scores, and adjust the above multiple study room configurations according to the feedback of the overall score.

[0048] In this embodiment, through multiple combined multi-degree-of-freedom adaptive adjustments of seats, table tops, bookshelves, display screens, and light arrays, evaluation is performed from five dimensions. After the overall score meets the set conditions and the key focus score meets the single conditions, the entire adjustment process is completed, and the optimal setting of the study mode interaction system is completed, providing users with an automatically arranged study environment with the advantages of comfortable sitting posture, convenient writing, and protection of the lumbar and cervical vertebrae.

[0049] In a preferred embodiment, the above system also includes a start-stop module and a reset module.

[0050] The start-stop module is used to receive the start signal and stop signal of the study mode input by the user. The control module 2 starts running after receiving the start signal and stops running after receiving the stop signal.

[0051] The reset module is used to receive a reset signal of the study mode input by the user. After receiving the reset signal, the control module 2 resets the multiple study configuration components, and the reset order of the multiple study configuration components is bookshelf, display screen, table board, and chair.

[0052] In this embodiment, the start-stop module controls the startup of the system and program execution with one button, and can control the startup of the study mode, as well as personalized adjustments, etc. After the study mode is completed, each study configuration is adjusted in place. If the passenger has personalized adjustment requirements, the adjustment of each study configuration can be controlled through the display screen or voice. The human-computer interaction also provides a quick recovery mode for quickly restoring the passenger's exclusive study mode.

[0053] When all positions are adjusted, the positions of seats, tables, display screens, bookshelves, and passenger identification information will be saved. Next time, if the passenger is recognized, the data can be directly retrieved from the database to quickly realize the passenger's exclusive study mode.

[0054] The automatic reset process can be activated by pressing a button or speaking a voice. After the automatic reset is activated, the user will be reminded to lift their arms off the table and let their arms hang naturally on the seat. After confirming that the passenger has adjusted their posture in the image captured by the camera, the bookshelf will be reset to the position before the study mode was activated. The angle of the display screen will be reset, and then the height of the display screen will be reset to the position before the study mode was activated. The height of the table will be reset, and then the table will be automatically folded. The position of the passenger's front seat will be reset. The passenger's seat will be reset to the position before the study mode was activated.

[0055] In a preferred embodiment, the control module 2 is also used to pre-store a three-dimensional model of the interior of the cabin, construct a three-dimensional model of the passenger after acquiring the above-mentioned morphological information, and add the three-dimensional model of the passenger to the three-dimensional model of the interior of the cabin to obtain a real-time study mode model.

[0056] In this embodiment, the movement record of static objects in the cabin is read first. If there is a movement record with the last saved cabin 3D model, the 3D model of static objects in the cabin is rebuilt according to the change record. If there is no movement, the last 3D model is used. Through multiple cameras in the cabin, important parameters such as the position, posture, wheel width, and eye height of the passengers in the car are identified, and then the 3D model of the passengers is added to the current cabin 3D model.

[0057] In a preferred embodiment, the control module 2 is used to determine the shortest distance between a passenger and the seat in front of him based on the study mode model. When the shortest distance is less than a first threshold, the passenger's front seat is moved forward until the minimum distance is not less than the first threshold, and then the height of the seat on which the passenger sits and the inclination angle of the seat back are adjusted according to the passenger's body shape.

[0058] After the control module 2 adjusts the seat, the real-time body contour and the standard body contour are collected to evaluate the overlap, and the overlap is proportional to the first score.

[0059] In this embodiment, when the passenger enters the second or third row of the vehicle, the study mode is activated by a button or voice. Then the morphological recognition module 1 will be activated, and the three-dimensional model of the static objects in the current cabin and the movement records of the static objects will be compared to construct a three-dimensional model of the current cabin. The panoramic picture of the current cabin is obtained through the camera, the position of the passenger is confirmed, and then the three-dimensional model of the passenger is added to the current cabin model. After confirming the position of the passenger, the status of the seat at the passenger's position, the table board in front, the bookshelf, and the display screen are converted to an activated state. The distance between the passenger's outline and the front seat is calculated. If the distance is greater than a value n, the posture of the passenger's seat can be adjusted. If it is less than n, then adjusting the passenger's seat may cause a collision. At this time, the front seat is moved first so that the distance between the passenger and the front seat is n, and m and n are both positive integers. Adjust the backrest inclination and seat height of the passenger's seat. During the adjustment of the passenger's seat, the passenger's posture will be compared with the human body model stored in the database (the model comes from the best sitting posture of different body shapes that has been calibrated in advance and is set under the guidance of ergonomics experts). The adjustment of the seat is scored by the overlap between the passenger's outline and the preset best model, recorded as Score1 = overlap (the overlap range is 0-100, 100 means complete overlap). Since passengers have various body shapes, after adjusting the seat according to a single pre-set standard body shape, there may still be a situation where the passenger's body shape cannot completely overlap with the standard body shape, so the first score is set.

[0060] In a preferred embodiment, the control module 2 is used to control the opening of the table after adjusting the seat, and determine the minimum distance between the passenger and the table according to the study mode model. When the minimum distance is less than the second threshold, the passenger's front seat is moved forward until the minimum distance is not less than the second threshold, and then the passenger is prompted by voice to place his arm on the table and obtain the real-time arm contour, and the height of the table is adjusted based on the standard arm contour.

[0061] After the control module 2 adjusts the table top, the real-time arm contour and the standard arm contour are collected to evaluate the overlap, and the overlap is proportional to the second score.

[0062] In this embodiment, when the seat adjustment is completed, the table is opened and the shortest distance between the table and the passenger's chest is calculated. The position of the passenger's front seat is adjusted so that the horizontal distance between the table and the passenger's chest is about 10 cm (can be set). The voice reminds the passenger to place his arms naturally on the electric table and look forward horizontally. After the image captured by the camera confirms that the passenger's arms are naturally placed on the electric table and looking forward, the subsequent adjustment process will be carried out. The camera focuses on capturing the outline of the passenger's arm. According to the preset shape of the arm in the set optimal sitting posture, the height of the table is adjusted. The electric table adjustment is scored by the degree of overlap between the outline of the passenger's arm and the preset optimal model, recorded as Score2 = Overlap (the overlap value is 0-100, 100 means complete overlap.

[0063] In a preferred embodiment, the control module 2 is used to calculate the coordinates of the midpoint of the line connecting the two eyes according to the real-time eye coordinates after adjusting the table top, adjust the height of the center point of the display screen toward the height of the midpoint of the line connecting the two eyes, obtain the inclination angle of the upper face according to the real-time eye coordinates and the real-time forehead coordinates, and adjust the inclination angle of the display screen toward the inclination angle of the upper face.

[0064] After the control module 2 adjusts the display screen, the angle between the upper face and the display screen is collected, and a third score is obtained according to the angle.

[0065] In this embodiment, after the height adjustment of the table top is completed, the camera will extract the three-dimensional coordinates of the passenger's eyes and the three-dimensional coordinates of the forehead to form the normal vector of the plane where the upper face is located. According to the three-dimensional coordinates of the passenger's eyes, adjust the display screen so that the three-dimensional coordinates of the center point of the display screen and the three-dimensional coordinates of the midpoint of the line connecting the two eyes have the same vertical amount. If the height that needs to be adjusted exceeds the upper limit of the height that the display screen can be adjusted, adjust the display screen to the highest position it can reach. Calculate the angle a between the normal vector of the upper face and the normal vector of the vertical screen, where a is a positive integer. Adjust the angle of the display screen within the adjustable angle range of the display screen. The closer to 0°, the higher the third scoring score. Assuming that the angle value of the adjustable range of the display screen is A, the final score Score3=100 * (1 – a / A), A is a positive integer.

[0066] In a preferred embodiment, the control module 2 is used to update the study room mode model according to the movement of the chair, the table top, and the display screen after adjusting the display screen, and adjust the position of the bookshelf according to the study room mode model.

[0067] After the control module 2 adjusts the bookshelf, it prompts the passenger to stretch his arm toward the bookshelf through voice, collects the real-time arm contour, obtains the distance between the passenger's fingertips and the bookshelf based on the real-time arm contour, and obtains the fourth score based on the distance.

[0068] In this embodiment, the position of the bookshelf is adjusted according to the adjusted positions of the objects (front seats, rear seats, table tops, and screens) and the three-dimensional model outline of the passenger at this time. After the bookshelf position adjustment is completed, the voice reminds the passenger to straighten the arm close to the bookshelf (the left hand for the left rear passenger and the right hand for the right rear passenger) to calculate the distance L from the bookshelf to the passenger's fingertips. When L≤L_best, Score4 = 100. When L>L_best, Score4 = 100 *(1-(L – L_best) / L_best), L and L_best are both positive integers, and L_best is the optimal distance between passengers and the bookshelf.

[0069] In a preferred embodiment, the control module 2 is used to turn on the light array near the passenger according to the study mode model after adjusting the bookshelf, determine the shadow areas of the upper left, upper right, lower left, and lower right regions on the upper surface of the table according to the table surface image, and adjust the lighting angle of the light array at the corresponding position according to the shadow areas of the above four regions until the shadow area is minimized.

[0070] After adjusting the light array, the control module 2 collects the table surface image and calculates the real-time shadow area of ​​the table surface, and obtains the fifth score based on the area.

[0071] In this embodiment, after the bookshelf is adjusted, the light array near the passenger is turned on by the three-dimensional model of each fixed object in the cabin and the current position of the passenger. Through the camera in the cabin, the picture of the upper surface of the table in front of the passenger in the cabin is captured, and the distribution and area s of the shadow on the table are obtained by comparing the grayscale of the light in the image, where s is a positive integer. The electric table is divided into four areas: upper left, upper right, lower left, and lower right, corresponding to the four light arrays of the upper left, upper right, left rear, and right rear of the roof passenger, respectively. When there is a shadow on the corresponding area of ​​the table, adjust the corresponding light array angle (there is a micro motor at the back to control the angle of the light array), and stop adjusting the corresponding light angle when the shadow area in the area is the smallest. When the shadow area of ​​the four areas is the smallest, the total shadow area s of the table also reaches the minimum value at this time, and the score of the current light dimension is calculated, which is recorded as Score5 =100* (1- s / s_accept), where s_accept is the maximum acceptable shadow area set, and s_accept is a positive integer.

[0072] In a preferred embodiment, the control module 2 calculates the overall score of the study room mode by setting weights for the five-point scores.

[0073] The control module 2 determines the weighted adjustment value of the fifth score. When the adjustment value is less than the score threshold, the study configuration components are adjusted according to a preset adjustment strategy, and the adjustment value is calculated after each adjustment. When the adjustment value is less than the score threshold and the adjustment time exceeds the time threshold, the adjustment is stopped.

[0074] The above-mentioned preset adjustment strategy includes rotating the electric screen backward when it is judged based on the table surface image that the shadow area of ​​the upper left and upper right surface of the table exceeds the regional shadow area threshold; tilting the table and chair backs backward when it is judged based on the table surface image that the shadow area of ​​the lower left and lower right surface of the table exceeds the regional shadow area threshold; and adjusting the electric screen downward and tilting the table and chair backs backward when it is judged based on the table surface image that the overall shadow area of ​​the table surface exceeds the overall shadow area threshold.

[0075] In this embodiment, the total score of the current system is calculated as Score = N1*Score1 + N2*Score2 + N3*Score3+ N4*Score4+ N5*Score5, the first weight N1 of the first score Score1 is 0.25, the second weight N2 of the second score Score2 is 0.2, the third weight N3 of the third score Score3 is 0.2, the fourth weight N4 of the fourth score Score4 is 0.1, and the first weight N5 of the fifth score Score5 is 0.25.

[0076] Generally, Score1, Score2, Score3, and Score4 can all reach 100 points in one adjustment. However, at this time, the obtained Score5 may be too low due to excessive shadow. When the weighted score of Score5 < 22.5, multi-object joint adjustment will be performed according to the shadow distribution in the four areas on the tabletop at this time. If the shadows in the upper left and upper right of the electric tabletop are too large, the angle of the electric screen will be adjusted downward by 1°, that is, rotated counterclockwise by 1° around the rotating shaft, reducing the occlusion of the front light, thereby reducing the shadow area. If the shadows in the lower left and lower right are too large, the seat of the passenger will be adjusted so that the sitting posture of the passenger is slightly leaned back by 1°, reducing the occlusion of the rear light. If the shadows are too large in the entire area, adjustments will be made simultaneously. After the adjustment is completed, Score5 will be re-scored, and the adjustment will stop when N5 * Score5 ≥ 22.5. If N5 * Score5 < 22.5, the steps will be repeated until N5 * Score5 ≥ 22.5. Re-evaluate the current state of score1 - 4, calculate the cumulative time time1 of the adjustment at this time. If the difference between the maximum adjustment time time_max and the cumulative time time1 is less than <T (the longest time period for one adjustment), the adjustment will stop. time1, time_max, and T are all positive numbers. If time_max – time1 > T, continue the adjustment, then calculate Score1 - Score5. If Score increases and N5 * Score5 ≥ 22.5, retain the current adjustment amount. If not satisfied, restore the adjustment of this step and end all adjustments.

[0077] The present invention also discloses an embodiment of an interactive method for a study mode applicable to a vehicle. As shown in 2, it includes:

[0078] Step S1: After adjusting the seat according to the passenger's body shape, collect the real-time body contour and evaluate the coincidence degree with the standard body contour to obtain the first score.

[0079] Step S2: After adjusting the tabletop according to the passenger's real-time body contour, collect the real-time arm contour and evaluate the coincidence degree with the standard arm contour to obtain the second score.

[0080] Step S3: After adjusting the height and inclination angle of the display screen according to the real-time eye coordinates and real-time forehead coordinates, calculate the angle between the upper face and the display screen to obtain the third score.

[0081] Step S4: After adjusting the bookshelf according to the positions of the seat, tabletop, and display screen, collect the real-time arm contour, and obtain the fourth score according to the distance between the passenger's fingertips and the bookshelf.

[0082] Step S5, after adjusting the light array according to the real-time seat and table surface images, collect the table surface images and calculate the real-time shadow area of ​​the table surface, and calculate the ratio of the real-time shadow area to the theoretical shadow area to obtain the fifth score.

[0083] Step S6: Obtain an overall score of the study room model according to the five scores, and adjust the plurality of study room components according to the overall score feedback.

[0084] In this embodiment, evaluation is performed from five dimensions, namely, sitting comfort (associated with the seat), writing comfort (associated with the table), book retrieval comfort (associated with the bookshelf), screen comfort (associated with the display screen), and lighting comfort (associated with the light array). The cabin seat, table, bookshelf, display screen, and light matrix are jointly adjusted. During the adjustment process, each dimension is scored (each dimension is scored from 0 to 100 points, and the higher the score, the higher the comfort of that dimension). Then the score of each evaluation dimension is weighted averaged (the weight can be set, but there will be a default value) to obtain a score for the best study. When the set score threshold and adjustment time threshold are reached, it is considered that a shadowless study environment with an optimal sitting posture and optimal lighting arrangement has been constructed (the score and time can be set).

[0085] The present application is not limited to the above-mentioned implementation modes. For ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications are also considered to be within the scope of protection of the present application.

Claims

1. A study room mode interactive system suitable for a vehicle, characterized in that: The vehicle interior includes a plurality of study configuration components, the study configuration components including a seat, a table, a display screen, a bookshelf, and a light array, the table being arranged behind a seat back; the system includes: A morphology recognition module is used to collect the morphology information and in-vehicle image information of the passenger, wherein the morphology information includes body shape and real-time posture, wherein the body shape includes height and weight, wherein the real-time posture includes real-time body contour, real-time arm contour, real-time eye coordinates, real-time forehead coordinates, and real-time seat position, and wherein the in-vehicle image information includes a table surface image; A control module, which is used to collect the real-time body contour and the standard body contour for coincidence evaluation to obtain a first score after adjusting the seat according to the body shape; the control module is also used to pre-store the three-dimensional model of the interior of the cabin, build a three-dimensional model of the passenger after obtaining the morphological information, and add the three-dimensional model of the passenger to the three-dimensional model of the interior of the cabin to obtain a real-time study mode model; It is also used to collect the real-time arm contour and the standard arm contour for coincidence evaluation to obtain a second score after adjusting the table board according to the real-time body contour; It is also used to adjust the height and inclination of the display screen according to the real-time eye coordinates and the real-time forehead coordinates, and then calculate the angle between the upper face and the display screen to obtain a third score; It is also used to collect the real-time arm profile after adjusting the bookshelf according to the position of the seat, table, and display screen, and obtain the fourth score according to the distance between the passenger's fingertips and the bookshelf; It is also used to adjust the light array according to the real-time seat and table surface images, collect the table surface image and calculate the real-time shadow area of ​​the table surface, and calculate the ratio of the real-time shadow area to the theoretical shadow area to obtain the fifth score; It is also used to select at least one of the five scores as a key single score, obtain an overall score of the study mode according to the five scores, and feedback-adjust the multiple study configuration components according to the overall score and the preset score limits of the key single scores.

2. The study mode interactive system suitable for a vehicle as claimed in claim 1, characterized in that: The system further comprises: A start-stop module, which is used to receive a start signal and a stop signal of the study mode input by a user; the control module starts running after receiving the start signal, and stops running after receiving the stop signal; A reset module is used to receive a reset signal of the study mode input by the user; the control module resets the multiple study configuration components after receiving the reset signal, and the reset order of the multiple study configuration components is bookshelf, display screen, table top, and chair.

3. The study mode interactive system suitable for a vehicle as claimed in claim 1, characterized in that: The control module is used to determine the minimum distance between the passenger and the front seat according to the study mode model, and when the minimum distance is less than a first threshold, move the front seat of the passenger forward until the minimum distance is not less than the first threshold, and then adjust the height of the seat where the passenger sits and the backrest angle of the seat according to the body shape of the passenger; After the control module adjusts the seat, the real-time body contour and the standard body contour are collected to evaluate the overlap, and the overlap is proportional to the first score.

4. The study mode interactive system suitable for a vehicle as claimed in claim 1, characterized in that: The control module is used to control the table to open after the seat is adjusted, determine the minimum distance between the passenger and the table according to the study mode model, and when the minimum distance is less than a second threshold, move the front seat of the passenger forward until the minimum distance is not less than the second threshold, prompt the passenger to place his arm on the table through voice, obtain the real-time arm contour, and adjust the height of the table based on the standard arm contour; After the control module adjusts the table top, the real-time arm contour and the standard arm contour are collected to evaluate the overlap, and the overlap is proportional to the second score.

5. The study mode interactive system suitable for a vehicle as claimed in claim 1, characterized in that: The control module is used to calculate the coordinates of the midpoint of the eye line according to the real-time eye coordinates after adjusting the table board, adjust the height of the center point of the display screen toward the height of the midpoint of the eye line, obtain the upper face inclination angle according to the real-time eye coordinates and the real-time forehead coordinates, and adjust the display screen inclination angle toward the upper face inclination angle; After the control module adjusts the display screen, the angle between the upper portion and the display screen is collected, and a third score is obtained according to the angle.

6. The study mode interactive system suitable for a vehicle as claimed in claim 1, characterized in that: The control module is used to update the study mode model according to the movement of the seat, the table board, and the display screen after adjusting the display screen, and adjust the position of the bookshelf according to the study mode model; After the control module adjusts the bookshelf, it prompts the passenger to stretch his arm toward the bookshelf through voice, collects the real-time arm contour, obtains the distance between the passenger's fingertips and the bookshelf based on the real-time arm contour, and obtains a fourth score based on the distance.

7. The study mode interactive system suitable for a vehicle as claimed in claim 1, characterized in that: The control module is used to turn on the light array near the passenger according to the study mode model after adjusting the bookshelf, determine the shadow areas of the four areas of the upper left, upper right, lower left, and lower right on the upper surface of the table board according to the table board surface image, and adjust the lighting angles of the light array at the corresponding positions according to the shadow areas of the four areas until the shadow area is minimized; After adjusting the light array, the control module collects the table surface image and calculates the real-time shadow area of ​​the table surface, and obtains the fifth score based on the area.

8. The study mode interactive system suitable for a vehicle as claimed in claim 1, characterized in that: The control module calculates the overall score of the study mode by setting weights for the five scores respectively; The control module determines the weighted adjustment value of the fifth score, and when the adjustment value is less than the score threshold, adjusts the study configuration component according to a preset adjustment strategy, and calculates the adjustment value after each adjustment, and stops adjusting when the adjustment value is less than the score threshold and the adjustment time exceeds the time threshold; The preset adjustment strategy includes rotating the electric screen backward when it is determined based on the table surface image that the shadow areas on the upper left and upper right of the table surface exceed the regional shadow area threshold, tilting the table and chair backs backward when it is determined based on the table surface image that the shadow areas on the lower left and lower right of the table surface exceed the regional shadow area threshold, and adjusting the electric screen downward and tilting the table and chair backs backward when it is determined based on the table surface image that the overall shadow area of ​​the table surface exceeds the overall shadow area threshold.

9. A study mode interaction method suitable for a vehicle, characterized in that: Based on the study mode interaction system applicable to a vehicle according to any one of claims 1 to 8; the method comprises: After adjusting the seat according to the passenger's body shape, the real-time body contour is collected and evaluated for coincidence with the standard body contour to obtain a first score; After adjusting the table board according to the real-time body contour of the passenger, the real-time arm contour and the standard arm contour are collected to evaluate the overlap and obtain a second score; After adjusting the height and inclination of the display screen according to the real-time eye coordinates and the real-time forehead coordinates, the angle between the upper face and the display screen is calculated to obtain a third score; After adjusting the bookshelf according to the position of the seat, table, and display screen, the real-time arm profile is collected, and the fourth score is obtained based on the distance between the passenger's fingertips and the bookshelf; After adjusting the light array according to the real-time seat and table surface images, the table surface image is collected and the real-time shadow area of ​​the table surface is calculated. The ratio of the real-time shadow area to the theoretical shadow area is calculated to obtain the fifth score; At least one of the five scores is selected as a key single score, an overall score of the study mode is obtained according to the five scores, and the multiple study configuration components are feedback-adjusted according to the overall score and a preset score limit of the key single score.

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