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Authors: Pah Nemuel D. and Kumar Dinesh K

Affiliation: RMIT University, Australia

Keyword(s): Surface Electromyogram, Wavelet Network, Neural Networks, and Rehabilitation.

Related Ontology Subjects/Areas/Topics: Human-Robots Interfaces ; Informatics in Control, Automation and Robotics ; Robotics and Automation

Abstract: This paper reports experiments conducted to classify single channel Surface Electromyogram recorded from the forearm with the flexion and extension of the different fingers. Controlled experiments were conducted where single channel SEMF was recorded from the flexor digitorum superficialis muscle for various finger positions from the volunteers. A modified wavelet network called Thresholding Wavelet Networks that has been developed by the authors (D Kumar, 2003) has been applied for this classification. The purpose of this research was towards developing a reliable man machine interface that could have applications for rehabilitation, robotics and industry. The network is promising with accuracy better than 85%.

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Paper citation in several formats:
Nemuel D., P. and Dinesh K, K. (2004). ELECTROMYOGRAPHY BASED FINGER MOVEMENT IDENTIFICATION FOR HUMAN COMPUTER INTERFACE. In Proceedings of the First International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO; ISBN 972-8865-12-0; ISSN 2184-2809, SciTePress, pages 221-226. DOI: 10.5220/0001146902210226

@conference{icinco04,
author={Pah {Nemuel D.}. and Kumar {Dinesh K}.},
title={ELECTROMYOGRAPHY BASED FINGER MOVEMENT IDENTIFICATION FOR HUMAN COMPUTER INTERFACE},
booktitle={Proceedings of the First International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO},
year={2004},
pages={221-226},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001146902210226},
isbn={972-8865-12-0},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the First International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO
TI - ELECTROMYOGRAPHY BASED FINGER MOVEMENT IDENTIFICATION FOR HUMAN COMPUTER INTERFACE
SN - 972-8865-12-0
IS - 2184-2809
AU - Nemuel D., P.
AU - Dinesh K, K.
PY - 2004
SP - 221
EP - 226
DO - 10.5220/0001146902210226
PB - SciTePress