Motion Detection Enhanced Control of an Upper Limb Exoskeleton Robot for Rehabilitation Training-Reference-Cited by-同舟云学术

Motion Detection Enhanced Control of an Upper Limb Exoskeleton Robot for Rehabilitation Training

Published:2017-03 Issue:01 Volume:14 Page:1650031
ISSN:0219-8436
Container-title:International Journal of Humanoid Robotics
language:en
Short-container-title:Int. J. Human. Robot.

Author:

Ye Wenjun¹²,Li Zhijun¹,Yang Chenguang³,Chen Fei⁴,Su Chun-Yi¹²

Affiliation:

1. College of Automation Science and Engineering, Guangzhou, China

2. Department of Mechanical and Industrial Engineering, Concordia University, Montreal, Canada

3. Zienkiewicz Center for Computational Engineering, Swansea University, SA1 8EN, UK

4. Department of Advanced Robotics, Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy

Abstract

The paper studies the control design of an exoskeleton robot based on electromyography (EMG). An EMG-based motion detection method is proposed to trigger the rehabilitation assistance according to user intention. An adaptive control scheme that compensates for the exoskeleton's dynamics is employed, and it is able to provide assistance tailored to the human user, who is supposed to participate actively in the training process. The experiment results verify the effectiveness of the control method developed in this paper.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Mechanical Engineering

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0219843616500316

Reference38 articles.

1. A Methodology to Quantify Alterations in Human Upper Limb Movement During Co-Manipulation With an Exoskeleton

2. ARMin III – Arm Therapy Exoskeleton with an Ergonomic Shoulder Actuation

3. Upper-Limb Powered Exoskeleton Design

4. Development of a Hand-Assist Robot With Multi-Degrees-of-Freedom for Rehabilitation Therapy

5. The relationship between physical human-exoskeleton interaction and dynamic factors: using a learning approach for control applications

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