Abstract
Gesture systems have been developed following different strategies and approaches. This applies to the technology, the gesture recognition engine, and the application areas. From the technological point of view, we distinguish the gesture devices in two broad classes, depending on the type of data they send to the gesture recognition engine: graphical devices and pictorial devices. Gesture recognition engines have been built based mainly on pattern recognition, neural networks, and statistical classification. Similarly, the potential applications range from signs, system commands, text editing, gesticulation, robot control, etc. This paper tries to compare different architectures of gesture systems, highlighting their strength and weakness.
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© 1997 Springer-Verlag London
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Bordegoni, M., Faconti, G.P. (1997). Architectural Models of Gesture Systems. 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_6
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DOI: https://doi.org/10.1007/978-1-4471-0943-3_6
Publisher Name: Springer, London
Print ISBN: 978-3-540-76094-8
Online ISBN: 978-1-4471-0943-3
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