Surface EMG pattern recognition for real-time control of a wrist exoskeleton |
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Authors: | Zeeshan O Khokhar Zhen G Xiao Carlo Menon |
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Institution: | (1) MENRVA Group, School of Engineering Science, Faculty of Applied Science, Simon Fraser University, 8888 University Drive, V5A 1S6 Burnaby, BC, Canada |
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Abstract: | Background Surface electromyography (sEMG) signals have been used in numerous studies for the classification of hand gestures and movements
and successfully implemented in the position control of different prosthetic hands for amputees. sEMG could also potentially
be used for controlling wearable devices which could assist persons with reduced muscle mass, such as those suffering from
sarcopenia. While using sEMG for position control, estimation of the intended torque of the user could also provide sufficient
information for an effective force control of the hand prosthesis or assistive device. This paper presents the use of pattern
recognition to estimate the torque applied by a human wrist and its real-time implementation to control a novel two degree
of freedom wrist exoskeleton prototype (WEP), which was specifically developed for this work. |
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