Paper Title:
The Ego-Motion Detection Algorithm for Digit-Writing Hand Gesture Recognition
  Abstract

This paper addresses digit-writing hand gesture recognition using ego-motion detection algorithm. In training stage, according to the manual labeled feature points, the ego-motion detection algorithm is constructed and the corresponding average feature is obtained. In recognition stage, the interesting digit-writing hand gesture region is firstly segmented by skin and movement cues. Secondly, the models are fitted to the image that includes the hand gesture, and the relative features are extracted. Thirdly, the classification is done by comparing the extracted features and average features.

  Info
Periodical
Key Engineering Materials (Volumes 439-440)
Edited by
Yanwen Wu
Pages
1057-1062
DOI
10.4028/www.scientific.net/KEM.439-440.1057
Citation
B. Li, E. L. Zhang, "The Ego-Motion Detection Algorithm for Digit-Writing Hand Gesture Recognition", Key Engineering Materials, Vols. 439-440, pp. 1057-1062, 2010
Online since
June 2010
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Price
$32.00
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