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Electric seat adjusting method and device based on convolutional neural network and vehicle

A technology of convolutional neural network and electric seat, which is applied in the direction of neural learning method, biological neural network model, movable seat, etc., can solve the problems of not considering the user's health and intelligent experience, and achieve the improvement of health , the effect of reducing the harm of sitting for a long time

Pending Publication Date: 2022-06-03
CHINA FIRST AUTOMOBILE
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] However, in the prior art, most of the researches consider how to improve the comfort experience of the user's personalized settings, without considering the needs of the user's health and intelligent experience.

Method used

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  • Electric seat adjusting method and device based on convolutional neural network and vehicle
  • Electric seat adjusting method and device based on convolutional neural network and vehicle
  • Electric seat adjusting method and device based on convolutional neural network and vehicle

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Embodiment Construction

[0049] In order to make the purpose, technical solution and advantages of the application more clear, the technical solution in the embodiment of the application will be described in more detail below in conjunction with the drawings in the embodiment of the application. In the drawings, the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The described embodiments are some, but not all, embodiments of the application. The embodiments described below by referring to the figures are exemplary, and are intended to explain the present application, and should not be construed as limiting the present application. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application. Embodiments of the present application will be described in detail below in conjunction with th...

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Abstract

The invention discloses an electric seat adjusting method and device based on a convolutional neural network and a vehicle. The electric seat adjusting method based on the convolutional neural network comprises the following steps: acquiring body information of a user; obtaining a trained convolutional neural network model; inputting the body information of the user into the trained convolutional neural network model so as to obtain an optimal sitting posture; and sending the optimal sitting posture to a driving device, so that the driving device drives the electric seat to move according to the optimal sitting posture. According to the electric seat adjusting method based on the convolutional neural network, from the perspective of improving the health, comfort and intelligent experience of the user, the convolutional neural network model is trained in advance, after calculation of the network model, the system can carry out optimal sitting posture recommendation according to the height, weight and other information of the user, and the user experience is improved. Therefore, the user is helped to keep a good and comfortable sitting posture when driving the vehicle, and the harm caused by sedentariness is reduced.

Description

technical field [0001] The present application relates to the technical field of automobile electric seats, in particular to an electric seat adjustment method, device and vehicle based on a convolutional neural network. Background technique [0002] In order to improve the comfort of users in daily driving, many humanized designs have appeared on electric seats, such as multi-directional seat adjustment function, seat adjustment position memory function, seat heating function, seat ventilation function, etc. . [0003] However, in the prior art, most researches consider how to improve the comfort experience of the user's personalized settings, without considering the user's health and intelligent experience requirements. [0004] Therefore, it is desirable to have a technical solution to solve or at least alleviate the above-mentioned deficiencies of the prior art. Contents of the invention [0005] The purpose of the present invention is to provide a convolutional neur...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B60N2/02B60R16/037G06N3/04G06N3/08
CPCB60N2/0224B60N2/0244B60R16/037G06N3/08G06N3/045B60N2/0272B60N2/0268
Inventor 赵子龙苏雯关忠旭杨慧凯韩新立王鹏鹏贺明明
Owner CHINA FIRST AUTOMOBILE
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