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Towards active muscle pattern analysis for dynamic hand motions via sEMG

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Surface Electromyographys (sEMG) as a widespread human-computer interaction method can reflect the activity of human muscles. When the human forearm finishes different hand motions, there will be strong sEMG signals in different regions of the skin surface. This paper investigates the mapping relationship between sEMG signal patterns and the dynamic hand motions. Four different hand motions are studied based on the extracted signal with mean absolute value (MAV) features and the shape-preserving piecewise cubic interpolation method. In the experiments, a 16-channel electrode sleeve is used to collect 9-subject EMG signals. According to the distribution of electrodes in the forearm, the forearm surface is divided into 8 different muscle regions. The preliminary experimental results show that different hand motions can cause different distribution of sEMG signals in different regions. It confirms that different subjects show similar patterns for the same motions. The experimental results can be applied as new sEMG features with a higher computational speed.
Original languageEnglish
Title of host publicationAdvances in Computational Intelligence Systems
Subtitle of host publicationContributions Presented at the 18th UK Workshop on Computational Intelligence, September 5-7, 2018, Nottingham, UK
EditorsAhmad Lotfi, Hamid Bouchachia, Alexander Gegov, Caroline Langensiepen, Martin McGinnity
PublisherSpringer
Pages372-382
ISBN (Electronic)978-3-319-97982-3
ISBN (Print)978-3-319-97981-6
DOIs
Publication statusPublished - Sep 2018
Event18th UK Workshop on Computational Intelligence - Nottingham, United Kingdom
Duration: 5 Sep 20187 Sep 2018

Publication series

NameAdvances in Intelligent Systems and Computing
PublisherSpringer
Volume840
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Workshop

Workshop18th UK Workshop on Computational Intelligence
CountryUnited Kingdom
Period5/09/187/09/18

Documents

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