The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2020
Session ID : 2P2-D17
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Development of 1-DOF Mechanomyography-Based Elbow Power Assist System
*Kenji ISOBEBin ZHANGHun-ok LIM
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Abstract

This paper presents a 1-DOF power assist system that can assist elbow flexion motion using mechanomyogram (MMG) signals. An MMG transducer is attached to the skin of biceps brachii to monitor muscle actions during arm movement. In order to estimate elbow flexion joint torques, a Hill-type muscle model and a musculoskeletal model of the arm are used. The estimated joint torques are substituted into the admittance control system, and the elbow joint angle is calculated. Power assist experiments are conducted, and the effectiveness of the power assist system is verified.

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© 2020 The Japan Society of Mechanical Engineers
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