講演名 2012-10-11
Continuous Estimation of Finger Joint Angles Using Inputs from an EMG-to-Muscle Activation Model
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抄録(和)
抄録(英) 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.
キーワード(和)
キーワード(英) Surface Electromyography (sEMG) / Muscle Activation Model / Finger Joint Angles / Neural Networks
資料番号 MBE2012-39
発行日

研究会情報
研究会 MBE
開催期間 2012/10/4(から1日開催)
開催地(和)
開催地(英)
テーマ(和)
テーマ(英)
委員長氏名(和)
委員長氏名(英)
副委員長氏名(和)
副委員長氏名(英)
幹事氏名(和)
幹事氏名(英)
幹事補佐氏名(和)
幹事補佐氏名(英)

講演論文情報詳細
申込み研究会 ME and Bio Cybernetics (MBE)
本文の言語 ENG
タイトル(和)
サブタイトル(和)
タイトル(英) Continuous Estimation of Finger Joint Angles Using Inputs from an EMG-to-Muscle Activation Model
サブタイトル(和)
キーワード(1)(和/英) / Surface Electromyography (sEMG)
第 1 著者 氏名(和/英) / Jimson G. NGEO
第 1 著者 所属(和/英)
Graduate School of Information Science, Nara Institute of Science and Technology
発表年月日 2012-10-11
資料番号 MBE2012-39
巻番号(vol) vol.112
号番号(no) 232
ページ範囲 pp.-
ページ数 6
発行日