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

Abstract : 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.
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https://hal.laas.fr/hal-01976823
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Submitted on : Thursday, January 10, 2019 - 12:05:03 PM
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  • HAL Id : hal-01976823, version 1

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Chrystopher Nehaniv, Kerstin Dautenhahn, Jens Kubacki, Martin Haegele, Christopher Parlitz, et al.. A methodological approach relating the classification of gesture to identification of human intent in the context of human-robot interaction. ROMAN 2005. IEEE International Workshop on Robot and Human Interactive Communication, Aug 2005, Nashville, United States. ⟨hal-01976823⟩

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