Hand gesture segmentation is a difficult problem that must be overcome if gestural interfaces are to be practical. This paper sets out a recognition-led approach that focuses on the actual recognition techniques required for gestural interaction. Within this approach, a holistic view of the gesture input data stream is taken that considers what links the low-level and high-level features of gestural communication. Using this view, a theory is proposed that a state of high hand tension can be used as a gesture segmentation cue for certain classes of gestures. A model of hand tension is developed and then applied successfully to segment two British Sign Language sentence fragments. KEYWORDS: Gesture recognition, gestural input, hand tension model, sign language. DEFINITIONS Posture. A posture in this paper is considered to be a static hand shape where only the positions of the fingers are important. Hand orientation, location in space and any movement are not included.
|Title of host publication
|Progress in Gestural Interaction
|Subtitle of host publication
|Proceedings of Gesture Workshop '96, March 19th 1996, University of York, UK
|Philip A. Harling, Alistair D. N. Edwards
|Number of pages
|Published - 1996