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Hand Gesture Sequence Recognition using Morphological Chain code Edge Vector

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2004, 9(4), pp.85-91
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

KangHo-Lee 1 Choi Chong-Ho 2

1한국재활복지대학
2서울대학교

Candidate

ABSTRACT

The use of gestures provides an attractive alternate to cumbersome interface devices for human-computer interaction. This has motivated a very active research area concerned with computer vision-based analysis and interpretation of hand gestures. The most important issues in gesture recognition are the simplification of algorithm and the reduction of processing time. The mathematical morphology based on geometrical set theory is best used to perform the processing. The key idea of proposed algorithm is to track a trajectory of center points in primitive elements extracted by morphological shape decomposition. The trajectory of morphological center points includes the information on shape orientation. Based on this characteristic, we proposed the morphological gesture sequence recognition algorithm using feature vectors calculated to the trajectory of morphological center points. Through the experiment, we demonstrated the efficiency of proposed algorithm.

Citation status

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