Dynamic vision sensor camera based bare hand gesture recognition

Eun Yeong Ahn, Jun Haeng Lee, Tracy Mullen, John Yen

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

18 Scopus citations

Abstract

This paper proposes a method to recognize bare hand gestures using a dynamic vision sensor (DVS) camera. Different from conventional cameras, DVS cameras only respond to pixels with temporal luminance differences, which can greatly reduce the computational cost of comparing consecutive frames to track moving objects. Due to differences in available information, conventional vision techniques for gesture recognition may not be directly applicable in DVS based applications. This paper attempts to classify three different hand gestures made by a player during rock-paper-scissors game. We propose novel methods to detect the point where the player delivers a throw, to extract hand regions, and to extract useful features for machine learning based classification. Preliminary results show that our method produces enhanced accuracy of hand gesture recognition.

Original languageEnglish (US)
Title of host publicationIEEE SSCI 2011 - Symposium Series on Computational Intelligence - CIMSIVP 2011
Subtitle of host publication2011 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing
Pages52-59
Number of pages8
DOIs
StatePublished - Aug 10 2011
EventSymposium Series on Computational Intelligence, IEEE SSCI 2011 - 2011 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing, CIMSIVP 2011 - Paris, France
Duration: Apr 11 2011Apr 15 2011

Publication series

NameIEEE SSCI 2011 - Symposium Series on Computational Intelligence - CIMSIVP 2011: 2011 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing

Other

OtherSymposium Series on Computational Intelligence, IEEE SSCI 2011 - 2011 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing, CIMSIVP 2011
Country/TerritoryFrance
CityParis
Period4/11/114/15/11

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

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