Three dimensional gesture recognition using modified matching algorithm

  • Authors:
  • Hwan-Seok Yang;Jong-Min Kim;Seoung-Kyu Park

  • Affiliations:
  • Computer Science and Statistic Graduate School, Chosun University, Korea;Computer Science and Statistic Graduate School, Chosun University, Korea;Division of Computer Howon University, Korea

  • Venue:
  • ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
  • Year:
  • 2005

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Abstract

User-friendly Human-Computer interaction becomes more important accordance with rapid development of various information systems. In this paper we describe a three-dimensional gesture recognition algorithm and a system that adopts the algorithm for non-contact human-computer interaction. From sequence of stereo images, five feature regions are extracted with simple color segmentation algorithm and then those are used for three dimensional locus calculation processing. However, the result is not so stable, noisy, that we introduce principal component analysis method to get more robust gesture recognition results. This method can overcome the weakness of conventional algorithms since it directly uses three-dimensional information for human gesture recognition.