Relative information content of gestural features of non-verbal communication related to object-transfer interactions

Ansgar Koene, Juliane Honisch, S Endo, Alan Wing

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

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.
Original languageEnglish
Title of host publicationOnline proceedings of the TiGeR 2013 conference
Number of pages4
Publication statusPublished - 2013

Keywords

  • gestures
  • Information Gain
  • object handover
  • classification
  • non-verbal communication

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