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Relative information content of gestural features of non-verbal communication related to object-transfer interactionsIn order to implement reliable, safe and smooth human-robot object handover it will be necessary for service robots to identify non-verbal communication gestures in real-time. This study presents an analysis of the relative information content in the gestural features that together constitute a ... [ more ] In order to implement reliable, safe and smooth human-robot object handover it will be necessary for service robots to identify non-verbal communication gestures in real-time. This study presents an analysis of the relative information content in the gestural features that together constitute a communication gesture. Based on this information theoretic analysis we propose that the computational complexity of gesture classification, for object handover, can be greatly reduced by applying attention filters focused on static hand shape and orientation. | Author : Koene, Ansgar R. and Honisch, Juliane J. and Endo, Satoshi and Wing, Alan M. Date : 19 June 2013 Source : EU FP7 CogLaboration project, 19-21 June 2013, Tilburg, the Netherlands. Keywords : gestures; Information Gain; object handover; classification;.non-verbal communication Collection : TiGeR conference online proceedings | ![[img]](http://epapers.bham.ac.uk/1802/1.hassmallThumbnailVersion/Koene_Honisch_Endo_Wing_TiGeR2013.pdf)  Preview |
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