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 |
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開催期間 | 2012/10/4(から1日開催) |
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講演論文情報詳細 | |
申込み研究会 | ME and Bio Cybernetics (MBE) |
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本文の言語 | ENG |
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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 |