2004/06/10 by Xia Liu, Kikuo Fujimura · 1 citation
Computer Science · Engineering · #Hand Gesture Recognition Systems #Human Pose and Action Recognition #Robot Manipulation and Learning
paper · doi:10.1109/afgr.2004.1301587
openalex publication_date 2004/06/10 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29
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.