Real-Time Hand Tracking and Gesture Recognition System

  title={Real-Time Hand Tracking and Gesture Recognition System},
  author={Nguyen Dang Binh and Enokida Shuichi and Toshiaki Ejima},
In this paper, we introduce a hand gesture recognition system to recognize real time gesture in unconstrained environments. The system consists of three modules: real time hand tracking, training gesture and gesture recognition using pseudo two dimension hidden Markov models (P2-DHMMs). We have used a Kalman filter and hand blobs analysis for hand tracking to obtain motion descriptors and hand region. It is fairy robust to background cluster and uses skin color for hand gesture tracking and… CONTINUE READING
Highly Influential
This paper has highly influenced a number of papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 122 citations. REVIEW CITATIONS

8 Figures & Tables



Citations per Year

122 Citations

Semantic Scholar estimates that this publication has 122 citations based on the available data.

See our FAQ for additional information.