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.
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© 1997 Springer-Verlag London
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Harling, P.A., Edwards, A.D.N. (1997). Hand Tension as a Gesture Segmentation Cue. In: Harling, P.A., Edwards, A.D.N. (eds) Progress in Gestural Interaction. Springer, London. https://doi.org/10.1007/978-1-4471-0943-3_7
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DOI: https://doi.org/10.1007/978-1-4471-0943-3_7
Publisher Name: Springer, London
Print ISBN: 978-3-540-76094-8
Online ISBN: 978-1-4471-0943-3
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