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Vassilakis, E. and Howell, A. J. and Buxton, H.
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 in cases where a higher degree of generalization is needed. They have 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. 
ECVision indexed and annotated bibliography of cognitive computer vision publications
This bibliography was created by Hilary Buxton and Benoit Gaillard, University of Sussex, as part of ECVision Specific Action 8-1
The complete text version of this BibTeX file is available here: ECVision_bibliography.bib
Comparison of Feedforward (TDRBF) and Generative (TDRGBN) Network for Gesture Based ControlSite generated on Friday, 06 January 2006