Alternative interface system by using surface EMG of residual muscles for physically challenged person

Takahashi, Junji; Meraz, Noel Segura; Suezawa, Satoru; Hasegawa, Yasuhisa; Sankai, Yoshiyuki

doi:10.1109/robio.2011.6181476

Cited by 3 publications

(1 citation statement)

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“…Several approaches have been proposed to control powered exoskeletons. One is based on myoelectric signals measured by electromyography (EMG) sensors [8,[14][15][16]. It estimates human intentions by measuring the action potential of the muscles, and the powered exoskeleton assists human action according to the intention.…”

Section: Introductionmentioning

confidence: 99%

Power Assist Control Based on Human Motion Estimation Using Motion Sensors for Powered Exoskeleton without Binding Legs

et al. 2019

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In this study, we propose a novel power assist control method for a powered exoskeleton without binding its legs. The proposed method uses motion sensors on the wearer’s torso and legs to estimate his/her motion to enable the powered exoskeleton to assist with the estimated motion. It can detect the start of walking motion quickly because it does not prevent the motion of the wearer’s knees at the beginning of the walk. A nine-axis motion sensor on the wearer’s body is designed to work robustly in very hot and humid spaces, where an electromyograph is not reliable due to the wearer’s sweat. Moreover, the sensor avoids repeated impact during the walk because it is attached to the body of the wearer. Our powered exoskeleton recognizes the motion of the wearer based on a database and accordingly predicts the motion of the powered exoskeleton that supports the wearer. Experiments were conducted to prove the validity of the proposed method.

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Section: Introductionmentioning

confidence: 99%