Do we need complex models for gestures? a comparison of data representation and preprocessing methods for hand gesture recognition

Authors:
Marcin Blachnik;Przemysław Głomb
Affiliations:
Department of Management and Informatics, Silesian University of Technology, Katowice, Poland;The Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Gliwice, Poland
Venue:
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I
Year:
2012

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Abstract

Human-Computer Interaction (HCI) is one of the most rapidly developing fields of computer applications. One of approaches to HCI is based on gestures which are in many cases more natural and effective than conventional inputs. In the paper the problem of gesture recognition is investigated. The gestures are gathered from the dedicated motion capture system, and further evaluated by 3 different preprocessing procedures and 4 different classifier. Our results suggest that most of the combinations produce adequate recognition rate, with appropriate signal normalization being the key element.