Hand Tension as a Gesture Segmentation Cue

Philip A. Harling, Alistair D. N. Edwards

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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 languageUndefined/Unknown
Title of host publicationProgress in Gestural Interaction
Subtitle of host publicationProceedings of Gesture Workshop '96, March 19th 1996, University of York, UK
EditorsPhilip A. Harling, Alistair D. N. Edwards
Number of pages14
Publication statusPublished - 1996

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