A Novel Design Method for the Knee Joint of the Exoskeleton Based on the Modular Wearable Sensor

Author:

Cao Jian1,Wang Chang2,Zhang Jianhua2,Li Kexiang3,Zhang Jianjun1

Affiliation:

1. Department of Mechanical Engineering, School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China

2. Department of Mechanical and Electrical Engineering, School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China

3. Department of Mechanical and Electrical Engineering, School of Mechanical and Materials Engineering, North China University of Technology, Beijing 100144, China

Abstract

Abstract This paper innovatively proposes an artificial knee joint customization design scheme based on modular wearable sensors. It aims to solve the compatibility and security problem of wearable devices for different individual knee joints. The method consists of two main parts: measurement and customization. A wearable sensor with three joints is proposed and analyzed. The sensor can measure the kinematic characteristics of human knee joints to obtain the customized design parameters of artificial joints. Designed a bionic four-link knee joint, and the parameters of the connecting rod were optimized by a genetic algorithm based on the measured data. In particular, the measuring device and knee joint are designed in a modular way, and they can be used on the same platform. The modular design method can be used to customize joints for different individuals, which simplifies the difficulty of customization and effectively reduces the cost. After the modular knee joint's optimized design, this paper mainly conducted a number of comparative tests. The comparative test results of three joints show that the dynamic tracking accuracy of customized joints is 54.9% higher than that of ordinary joints and 70.5% higher than that of hinge joints. The results show that personalized customization for individuals can improve human-machine coupling performance.

Publisher

ASME International

Subject

Biomedical Engineering,Medicine (miscellaneous)

Reference52 articles.

1. Development of a Passive Modular Knee Mechanism for a Lower Limb Exoskeleton Robot and Its Effectiveness in the Workplace;Int. J. Precis. Eng. Manuf.,2020

2. Self-Alignment Mechanisms for Assistive Wearable Robots: A Kinetostatic Compatibility Method;IEEE Trans. Robot.,2013

3. Bionic Knee Joint Structure and Motion Analysis of a Lower Extremity Exoskeleton,2020

4. A New Stance Control Knee Orthosis Using a Self-Locking Mechanism Based on a Planetary Gear Train;ASME J. Mech. Des.,2019

5. Design and Analysis of a Novel 12-DOF Self-Balancing Lower Extremity Exoskeleton for Walking Assistance;Mech. Mach. Theory,2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3