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A methodological approach relating the classification of gesture to identification of human intent in the context of human-robot interaction

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6 Author(s)
Nehaniv, C.L. ; Sch. of Comput. Sci., Hertfordshire Univ., Hatfield, UK ; Dautenhahn, K. ; Kubacki, J. ; Haegele, M.
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In order to infer intent from gesture, a broad classification of types of gestures into five main classes is introduced. The classification is intended as a generally applicable basis for incorporating the understanding of gesture into human-robot interaction (HRI). Examples from human-robot interaction show the need to take into account not only the kinematics of gesture, but also the interactional context. Requirements for the operational classification of gesture by a robot interacting with humans are suggested and initial steps in its deployment are discussed.

Published in:

Robot and Human Interactive Communication, 2005. ROMAN 2005. IEEE International Workshop on

Date of Conference:

13-15 Aug. 2005