基于人体姿势识别的智能轮椅人机交互系统

IF 1.5 4区工程技术 Q3 ENGINEERING, MECHANICAL

Journal of Mechanical Science and Technology Pub Date : 2024-08-02 DOI:10.1007/s12206-024-0731-7

Yali Han, Lei Zhou, Weijia Jiang, Gairan Wang

{"title":"基于人体姿势识别的智能轮椅人机交互系统","authors":"Yali Han, Lei Zhou, Weijia Jiang, Gairan Wang","doi":"10.1007/s12206-024-0731-7","DOIUrl":null,"url":null,"abstract":"<p>A human posture interaction system guaranteed by algorithmic control is proposed to improve the convenience and control accuracy of wheelchairs. Initially, a system is designed based on microelectromechanical systems (MEMS) technology that incorporates a dual-inertial measurement unit to efficiently capture data on the user’s body posture. Subsequently, a K-means clustering algorithm is implemented in the system to analyze and recognize the user’s body position in real-time. This condition allows the system to deduce the user’s intention and react accordingly. Finally, the control system is validated through identification control experiments. Experiment results demonstrate a success rate above 97 %, thereby suggesting the reliability of the posture recognition algorithm.</p>","PeriodicalId":16235,"journal":{"name":"Journal of Mechanical Science and Technology","volume":"85 1","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Intelligent wheelchair human–robot interactive system based on human posture recognition\",\"authors\":\"Yali Han, Lei Zhou, Weijia Jiang, Gairan Wang\",\"doi\":\"10.1007/s12206-024-0731-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>A human posture interaction system guaranteed by algorithmic control is proposed to improve the convenience and control accuracy of wheelchairs. Initially, a system is designed based on microelectromechanical systems (MEMS) technology that incorporates a dual-inertial measurement unit to efficiently capture data on the user’s body posture. Subsequently, a K-means clustering algorithm is implemented in the system to analyze and recognize the user’s body position in real-time. This condition allows the system to deduce the user’s intention and react accordingly. Finally, the control system is validated through identification control experiments. Experiment results demonstrate a success rate above 97 %, thereby suggesting the reliability of the posture recognition algorithm.</p>\",\"PeriodicalId\":16235,\"journal\":{\"name\":\"Journal of Mechanical Science and Technology\",\"volume\":\"85 1\",\"pages\":\"\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2024-08-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Mechanical Science and Technology\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1007/s12206-024-0731-7\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, MECHANICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Mechanical Science and Technology","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s12206-024-0731-7","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}

引用次数: 0

摘要

为了提高轮椅的便利性和控制精度，提出了一种由算法控制保证的人体姿态交互系统。首先，设计了一个基于微机电系统（MEMS）技术的系统，该系统包含一个双惯性测量单元，可有效捕捉用户的身体姿态数据。随后，系统采用 K-means 聚类算法实时分析和识别用户的身体位置。在此条件下，系统可以推断出用户的意图并做出相应的反应。最后，控制系统通过识别控制实验进行了验证。实验结果表明，成功率超过 97%，从而表明了姿势识别算法的可靠性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Intelligent wheelchair human–robot interactive system based on human posture recognition

A human posture interaction system guaranteed by algorithmic control is proposed to improve the convenience and control accuracy of wheelchairs. Initially, a system is designed based on microelectromechanical systems (MEMS) technology that incorporates a dual-inertial measurement unit to efficiently capture data on the user’s body posture. Subsequently, a K-means clustering algorithm is implemented in the system to analyze and recognize the user’s body position in real-time. This condition allows the system to deduce the user’s intention and react accordingly. Finally, the control system is validated through identification control experiments. Experiment results demonstrate a success rate above 97 %, thereby suggesting the reliability of the posture recognition algorithm.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Journal of Mechanical Science and Technology 工程技术-工程：机械

CiteScore

2.90

自引率

6.20%

发文量

517

审稿时长

7.7 months

期刊介绍： The aim of the Journal of Mechanical Science and Technology is to provide an international forum for the publication and dissemination of original work that contributes to the understanding of the main and related disciplines of mechanical engineering, either empirical or theoretical. The Journal covers the whole spectrum of mechanical engineering, which includes, but is not limited to, Materials and Design Engineering, Production Engineering and Fusion Technology, Dynamics, Vibration and Control, Thermal Engineering and Fluids Engineering. Manuscripts may fall into several categories including full articles, solicited reviews or commentary, and unsolicited reviews or commentary related to the core of mechanical engineering.