Vision system for hand gesture recognition

Document Type

Conference Proceeding

Source Title

Third Humanoid, Nanotechnology, Information Technology, Communication and Control Environment and Management (HNICEM) International Conference

Publication Date

3-2007

Abstract

Vision system for hand gesture recognition (VISOR) is a system that recognizes a set of dynamic continuous gestures, using only a single hand, from a predefined vocabulary using computer vision algorithms. The system’s vocabulary is limited to five (5) primary gestures, each representing a command: forward, backward, left, right, and stop. VISOR is user-independent, able to contend with different backgrounds and does not require the user to wear a long-sleeved garment – a limitation commonly found in similar systems. A standard USB web camera is used to capture gesture sequences. The hand is detected and afterwards tracked in every frame captured.

This paper describes the design and implementation of the hand gesture recognition through hand detection and tracking, and by extraction of temporal and structural features of the tracked hand. The developed system’s performance is then evaluated in an indoor environment. It ends by a discussion of test results and recommendations for future work.

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Disciplines

Computer Sciences

Keywords

Gesture recognition (Computer science)

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