Presentation 2012-10-11
Continuous Estimation of Finger Joint Angles Using Inputs from an EMG-to-Muscle Activation Model
Jimson G. NGEO, Tomoya TAMEI, Tomohiro SHIBATA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) Surface electromyography (sEMG) signals are often used in many robot and rehabilitation applications because these reflect the motor intention of users. However, inherent problems such as electromechanical delay are present in such applications. Here, we present a method to estimate finger joint angles using a neural network with inputs obtained from an EMG-to-Activation model which parameterizes this delay. Our results show overall root-mean-square errors of 5-12% between the predicted and actual joint angles. We also show results when the proposed muscle activation input is used compared to using features used by other related studies. Finally, we compare the use of a neural network to a Gaussian Process, which is a popular nonparametric Bayesian regressor that could efficiently give better prediction in this setting.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Surface Electromyography (sEMG) / Muscle Activation Model / Finger Joint Angles / Neural Networks
Paper # MBE2012-39
Date of Issue

Conference Information
Committee MBE
Conference Date 2012/10/4(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To ME and Bio Cybernetics (MBE)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Continuous Estimation of Finger Joint Angles Using Inputs from an EMG-to-Muscle Activation Model
Sub Title (in English)
Keyword(1) Surface Electromyography (sEMG)
Keyword(2) Muscle Activation Model
Keyword(3) Finger Joint Angles
Keyword(4) Neural Networks
1st Author's Name Jimson G. NGEO
1st Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology()
2nd Author's Name Tomoya TAMEI
2nd Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
3rd Author's Name Tomohiro SHIBATA
3rd Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
Date 2012-10-11
Paper # MBE2012-39
Volume (vol) vol.112
Number (no) 232
Page pp.pp.-
#Pages 6
Date of Issue