The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2019
Session ID : 1P1-I05
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A study on control an upper-limb power-assist exoskeleton robot based the motion estimation with integrated information of EMG and force information
Kenta SAWANO*Yue HOUKazuo KIGUCHI
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Abstract

Recently, the aging problem is attracting great attention in Japan. One of the important technologies to solve this problem is a power-assist system which is able to assist the motion of physically weak persons such as elderly or disabled persons in various situations. This paper presents a method to estimate the human motion intention based on integrated information of EMG and force information for an upper-limb power assist exoskeleton robot system. The effectiveness of proposed method is evaluated through experiments.

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© 2019 The Japan Society of Mechanical Engineers
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