Issue No. 06 - November/December (2002 vol. 22)
Kenji Oka , University of Tokyo Graduate School of Information Science and Technology
Yoichi Sato , University of Tokyo Institute of Industrial Science
Hideki Koike , Graduate School of Information Systems, University of Electro-Communications, Tokyo
<p>The authors introduce a fast and robust method for tracking a user's hands and multiple fingertips. They then demonstrate gesture recognition based on measured fingertip trajectories for augmented desk interface systems. This tracking method is capable of tracking multiple fingertips in a reliable manner even in a complex background under a dynamically changing lighting condition without any markers. The authors' gesture recognition system is particularly advantageous for human-computer interaction (HCI) in that users can achieve interactions based on symbolic gestures at the same time that they perform direct manipulation with their own hands and fingers.</p>
K. Oka, Y. Sato and H. Koike, "Real-Time Fingertip Tracking and Gesture Recognition," in IEEE Computer Graphics and Applications, vol. 22, no. , pp. 64-71, 2002.