Estimation of daily forearm and wrist motion from shoulder and elbow kinematics by using artificial neural networks

Subrata Kumar Kundu, Kazuo Kiguchi, Etsuo Horikawa

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

抄録

Multifunctional arm prostheses have been developed since last several decades. One of the major problems that cause the loss of interest in current prostheses is the inadequate control interface between the patient and the prosthesis. The purpose of this research is to investigate the effectiveness of applying the kinematic data of the shoulder and elbow joint to control the arm prosthesis. In this paper, we propose an artificial neural network (ANN) technique to estimate the forearm and wrist motion pattern from shoulder and elbow kinematics for the control of arm prostheses. A number of activities which are essential and frequently performed in daily living are considered here and the proposed multilayer ANN is applied to classify them using the shoulder and elbow kinematics.

本文言語英語
ホスト出版物のタイトル2008 World Automation Congress, WAC 2008
出版ステータス出版済み - 2008
外部発表はい
イベント2008 World Automation Congress, WAC 2008 - Waikoloa, HI, 米国
継続期間: 9月 28 200810月 2 2008

その他

その他2008 World Automation Congress, WAC 2008
国/地域米国
CityWaikoloa, HI
Period9/28/0810/2/08

!!!All Science Journal Classification (ASJC) codes

  • 制御およびシステム工学

フィンガープリント

「Estimation of daily forearm and wrist motion from shoulder and elbow kinematics by using artificial neural networks」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル