Primary Research of a Multi-sensor Inspired Compliant Control of an Soft Hand Exoskeleton towards to Enhancing Active Participation based on VR System

Shujing Zhu, Hexiang Chen, Qiaoling Meng, Hongliu Yu
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Abstract

The human hand helps to perform most of our complex and fine movements because of its complex skeletal-muscular system and rich sensory. At the same time, the complex hand system is one of the reasons why rehabilitation of hand dysfunction after stroke is tricky. Virtual reality-based rehabilitation provides a new approach to hand function rehabilitation by mapping the patient’s movements into a rich virtual reality system and providing synergistic stimulation of visual, auditory and haptic senses to improve the patient’s motivation for rehabilitation, promote brain function reorganization and accelerate hand function rehabilitation. So the synergistic approach of multiple senses is very important. In this article, we designed a visually synergistic approach to flexible exoskeleton hand control with the aim of increasing the sense of active participation. We built a model of human-machine coupled motion, combined with a target grasping gesture obtained based on a virtual reality scene, and the target gesture is executed in the virtual system while controlling the synchronized motion of the exoskeleton hand. The results show that the motion of the virtual hand predicted by the human-computer coupling model is synchronized with the motion of the exoskeleton hand.
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基于VR系统的软手外骨骼多传感器柔性控制增强主动参与初探
由于复杂的骨骼肌肉系统和丰富的感官,人类的手有助于完成我们大多数复杂而精细的动作。同时,复杂的手部系统也是脑卒中后手部功能障碍康复困难的原因之一。基于虚拟现实的康复通过将患者的运动映射到丰富的虚拟现实系统中,并提供视觉、听觉和触觉的协同刺激,提高患者的康复动机,促进脑功能重组,加速手功能康复,为手功能康复提供了新的途径。因此,多感官的协同方法是非常重要的。在这篇文章中,我们设计了一种视觉协同的方法来实现灵活的外骨骼手部控制,目的是增加积极参与感。建立了人机耦合运动模型,结合基于虚拟现实场景获得的目标抓取手势,在虚拟系统中执行目标手势,同时控制外骨骼手的同步运动。结果表明,人机耦合模型预测的虚拟手的运动与外骨骼手的运动是同步的。
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