Vision-Based Gesture Recognition: A Review

  • Ying Wu
  • Thomas S. Huang
Conference paper

DOI: 10.1007/3-540-46616-9_10

Part of the Lecture Notes in Computer Science book series (LNCS, volume 1739)
Cite this paper as:
Wu Y., Huang T.S. (1999) Vision-Based Gesture Recognition: A Review. In: Braffort A., Gherbi R., Gibet S., Teil D., Richardson J. (eds) Gesture-Based Communication in Human-Computer Interaction. GW 1999. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence), vol 1739. Springer, Berlin, Heidelberg

Abstract

The use of gesture as a natural interface serves as a motivating force for research in modeling, analyzing and recognition of gestures. In particular, human computer intelligent interaction needs vision-based gesture recognition, which involves many interdisciplinary studies. A survey on recent vision-based gesture recognition approaches is given in this paper. We shall review methods of static hand posture and temporal gesture recognition. Several application systems of gesture recognition are also described in this paper. We conclude with some thoughts about future research directions.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Ying Wu
    • 1
    • 2
  • Thomas S. Huang
    • 1
    • 2
  1. 1.Beckman InstituteUrbana
  2. 2.University of Illinois at Urbana-ChampaignUrbana

Personalised recommendations