Real-Time Hand Gesture Recognition using Motion Tracking

DOI

10.2991/ijcis.2011.4.2.15How to use a DOI?

Keywords

Hand gesture recognition, hand detection, motion tracking, and gesture classification.

Abstract

This paper proposes a real-time recognition system for hand gestures, which serves as an alternative of human computer interface. We focus on hand gestures performed by hand motions, and 10 hand signed digits are recognized. Gesturing hand in each video frame is firstly extracted by skin-subtraction approach. The track of hand motion with maximal stand deviation is selected for gesture. And we use the histogram models to recognize the gesture tracks. The system achieves a recognition rate of 97.33%.

Copyright

© 2011, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Chi-Man Pun
AU  - Hong-Min Zhu
AU  - Wei Feng
PY  - 2011
DA  - 2011/04/01
TI  - Real-Time Hand Gesture Recognition using Motion Tracking
JO  - International Journal of Computational Intelligence Systems
SP  - 277
EP  - 286
VL  - 4
IS  - 2
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2011.4.2.15
DO  - 10.2991/ijcis.2011.4.2.15
ID  - Pun2011
ER  -