段家琦, 杨剑锋, 廖允廷, 等.基于坐姿数据的使用者体态特征识别模型研究[J].河南理工大学学报（自然科学版）,2022,41(2):111-116.

DUAN J Q, YANG J F, LIAO Y T, et al. Study on body characteristics recognition model based on sitting data[J].Journal of Henan Polytechnic University(Natural Science) ,2022,41(2):111-116.

基于坐姿数据的使用者体态特征识别模型研究

段家琦1,2, 杨剑锋3, 廖允廷1, 田中英一郎1

1.早稻田大学 信息生产系统研究科,日本 北九州 169-8050;2.郑州大学 管理工程学院,河南 郑州 450001;3.郑州大学 商学院,河南 郑 州  450001

摘要:现有起立辅助装置多为通用尺寸,无法针对使用者的体态特征提供精准辅助,本文提出一种基于使用者坐姿数据的体态特征识别模型,应用于起立辅助装置以实现对不同使用者的自适应辅助功能。该模型采用非佩戴传感器快速采集使用者的静态坐姿及压力数据,基于三段式人体模型对座椅表面压力分布进行分析,从而识别使用者身高、体重等体态特征。仿真分析和实验结果表明,该模型能够快速准确识别使用者的体态特征,并成功应用于起立辅助装置。

关键词:起立辅助;坐姿分析;体态信息识别;传感器;力矩分析

doi:10.16186/j.cnki.1673-9787.2021020012

基金项目:国家自然科学基金资助项目（U1904211）；国家社会科学基金资助项目（20BTJ059 ）

收稿日期:2021/02/02

修回日期:2021/03/25

出版日期:2022/03/15

Study on body characteristics recognition model based on sitting data

DUAN JiaqJ1,2, YANG Jianfeng3, LIAO Yunting1, TANAKA Eiichiro1

1.Graduate School of Information, Production and System , Waseda University, Kitakyushu  169-8050 , Japan;2.School of Management Engineering, Zhengzhou University, Zhengzhou  450001 , Henan, China;3.Business School, Zhengzhou University,Zhengzhou  450001 ,Henan, China

Abstract: Most of the current devices are developed with average body size,it is hard to assist different users with individual body characteristics correctly.A body characteristics recognition model with non-wearing sensor was proposed in this paper.In order to achieve adaptive assistance,user's body information could be recognized by the static sitting posture and pressure quickly.The pressure distribution and sitting posture feature were collected by non-wearing sensor,and user's body characteristics such as weight and height could be analyzed based on a three-parts human body model.The simulation analysis and experimental results showed that user's body information could be recognized by this model quickly,and user's experience on standing-up assistance device could be improved greatly.

Key words:standing-up assistance;sitting posture analysis;body information recognization;sensor;torque analysis

 基于坐姿数据的使用者体态特征识别模型研究_段家琦.pdf