UNIVERSITY of GLASGOW

Computing at Glasgow University
 
Paper ID: 6992
DCS Tech Report Number: TR-2002-127

Audio feedback for gesture recognition
Williamson,J. Murray-Smith,R.

Publication Type: Tech Report (internal)
Appeared in: DCS Tech Report
Page Numbers :
Publisher: AAAI Press
Year: 2002

Note: DCS Technical Report TR-2002-127

Abstract:

A general framework for producing formative audio feedback for gesture recognition is presented, including the dynamic and semantic aspects of gestures. The beliefs states are probability density functions conditioned on the trajectories of the observed variables. We describe example implementations of gesture recognition based on Hidden Markov Models and a dynamic programming recognition algorithm. Granular synthesis is used to present the audio display of the changing probabilities and observed states.

Keywords: gesture recognition, granular synthesis, audio feedback of probability density functions


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