Classifying types of gesture and inferring intent

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

10 Citations (Scopus)
46 Downloads (Pure)

Abstract

In order to infer intent from gesture, a rudimentary classification of types of gestures into five main classes is introduced. The classification is intended as a basis for incorporating the understanding of gesture into human-robot interaction (HRI). Some requirements for the operational classification of gesture by a robot interacting with humans are also suggested.
Original languageEnglish
Title of host publicationProcs of the AISB 05 Symposium on Robot Companions
Subtitle of host publicationHard Problems and Open Challenges in Robot-Human Interaction
PublisherThe Society for the Study of Artificial Intelligence and the Simulation of Behaviour (AISB)
Pages74-81
Publication statusPublished - 2005

Keywords

  • Computer Science

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