Design and Optimization of Human-Machine Interaction Wearable Device for Lower Limb Rehabilitation Exoskeleton

Yue Zhang, Jianhua Wang, Weihai Chen, Jianbin Zhang, Zuobing Chen
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Abstract

In this article, we designed a wearable device for the lower limb rehabilitation exoskeleton robots. The device is mainly composed of three parts: a slide rail mechanism, a detecting human-machine interaction force structure and a binding part. By adding passive degree of freedom to automatically compensate for the joint axis deviation between the exoskeleton and the human body, thereby reducing the radial parasitic force on the human leg. In order to verify the effect of automatic compensation of passive degrees of freedom, we conduct statics modeling for human-robot interaction coupling. At the same time, we also designed a device for detecting interaction force, which can obtain human movement intentions in rehabilitation training, and provide a hardware foundation for the research of human-robot cooperative control of rehabilitation exoskeleton. The detection device has the advantages of low cost, compact structure, and good detection performance.
下肢康复外骨骼人机交互可穿戴设备的设计与优化
本文设计了一种用于下肢康复外骨骼机器人的可穿戴设备。该装置主要由滑轨机构、检测人机交互力结构和绑定部分三部分组成。通过增加被动自由度来自动补偿外骨骼与人体之间的关节轴偏差,从而减少对人体腿部的径向寄生力。为了验证被动自由度自动补偿的效果,对人机交互耦合进行了静力学建模。同时,我们还设计了一种交互力检测装置,可以获取康复训练中人体的运动意图,为康复外骨骼的人机协同控制研究提供硬件基础。该检测装置成本低,结构紧凑,检测性能好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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