Hand gesture recognition using depth data

  • Authors:
  • Xia Liu;Kikuo Fujimura

  • Affiliations:
  • Ohio State University, Columbus, OH;Honda Research Institute USA, Mountain View, CA

  • Venue:
  • FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
  • Year:
  • 2004

Quantified Score

Hi-index 0.00

Visualization

Abstract

A method is presented for recognizing hand gestures by using a sequence of real-time depth image data acquired by an active sensing hardware. Hand posture and motion information extracted from a video is represented in a gesture space which consists of a number of aspects including hand shape, location and motion information. In this space, it is shown to be possible to recognize many types of gestures. Experimental results are shown to validate our approach and characteristics of our approach are discussed.