The University of Sussex

Gesture recognition for visually mediated interaction

A. Jonathan Howell, Hilary Buxton

This paper reports initial research on supporting visually mediated interaction by developing person-specific and generic gesture models for the control of active cameras. We describe a time-delay variant of the radial basis function network and evaluate its performance on recognising simple pointing and waving hand gestures in image sequences. Experimental results are presented that show that high levels of performance can be obtained for this type of gesture recognition using such techniques, both for particular individuals and across a set of individuals. Characteristic visual evidence can be automatically selected, depending on the task demands.

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