Stability analysis for tactile pattern based recognition system for hand gestures

Yuichiro Honda, Stefan Weber, Tim C. Lueth

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

In this article a new pattern recognition system for hand gestures developed for the control of active hand prostheses is presented. The system uses muscle contraction for gesture recognition. Different hand gestures produce discrete tactile patterns in the prosthetic socket by muscle contractions. The tactile patterns from hand gestures are analyzed and classified by the recognition system. Thus, a user can control hand prosthesis muscle contraction of the arm from handgestures. This paper introduces the concept of force resistive resistor sensor based recognition system for hand gestures and then discusses the issues of stability of classification during reattaching of the prosthetic socket.

Original languageEnglish
Title of host publication29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07
Pages4033-4036
Number of pages4
DOIs
StatePublished - 2007
Event29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07 - Lyon, France
Duration: 23 Aug 200726 Aug 2007

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
ISSN (Print)0589-1019

Conference

Conference29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07
Country/TerritoryFrance
CityLyon
Period23/08/0726/08/07

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