Abstract
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.
| Original language | Undefined/Unknown |
|---|---|
| Title of host publication | Progress in Gestural Interaction |
| Subtitle of host publication | Proceedings of Gesture Workshop '96, March 19th 1996, University of York, UK |
| Editors | Philip A. Harling, Alistair D. N. Edwards |
| Publisher | Springer |
| Pages | 75-88 |
| Number of pages | 14 |
| Publication status | Published - 1996 |