A Method for Temporal Hand Gesture Recognition
نویسنده
چکیده
Ongoing efforts at our laboratory have been aimed at developing techniques that reduce the complexity of interaction between humans and computers. In particular, we have investigated the use of a gesture recognition system to support natural user interaction while providing rich information content. In this paper, we present additions to a platformindependent, gesture recognition system which previously tracked hand movement, defined orientation, and determined the number of fingers being held up in order to control an underlying application. The additions provide the functionality to determine a temporal gesture, such as movement of the hand in a circle or square. This technique has proven to replace the common “clickfest” of many applications with a more powerful, context-sensitive, and natural interface. In addition, the Simplified Fuzzy ARTMAP (SFAM) learning system could easily be trained to recognize new gestures that the user creates and map these to a specific action within the application. Sample images and results are presented.
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