Classifying types of gesture and inferring intent

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

    10 Citations (Scopus)
    39 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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