Abstract
In Visually Mediated Interaction (VMI) there is a range of tasks that need to be supported (face and gesture recognition, camera controlled by gestures, visual interaction etc). These tasks vary in complexity. Generative and self-organising models may offer strong advantages over feedforward ones in cases where a higher degree of generalization is needed. They have the ability to model the density function that generates the data, and this gives the potential of understanding. the gesture independent from the individual differences on the performance of a gesture. This paper presents a comparison between a feedforward network (RBFN) and a generative one (RGBN) both extended in a time-delay version.
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© 2002 Springer-Verlag Berlin Heidelberg
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Vassilakis, H., Howell, A.J., Buxton, H. (2002). Comparison of Feedforward (TDRBF) and Generative (TDRGBN) Network for Gesture Based Control. In: Wachsmuth, I., Sowa, T. (eds) Gesture and Sign Language in Human-Computer Interaction. GW 2001. Lecture Notes in Computer Science(), vol 2298. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47873-6_33
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DOI: https://doi.org/10.1007/3-540-47873-6_33
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