Distribution and Recognition of Gestures in Human-Robot Interaction

N. Otero, S. Knoop, C.L. Nehaniv, D.S. Syrdal, K. Dautenhahn, R. Dillman

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

    12 Citations (Scopus)
    51 Downloads (Pure)

    Abstract

    This paper presents an approach for human activity
    recognition focusing on gestures in a teaching scenario,
    together with the setup and results of user studies on human
    gestures exhibited in unconstrained human-robot interaction
    (HRI). The user studies analyze several aspects: the distribution
    of gestures, relations, and characteristics of these gestures, and
    the acceptability of different gesture types in a human-robot
    teaching scenario. The results are then evaluated with regard
    to the activity recognition approach.
    The main effort is to bridge the gap between human activity
    recognition methods on the one hand and naturally occuring
    or at least acceptable gestures for HRI on the other. The goal
    is two-fold: To provide recognition methods with information
    and requirements on the characteristics and features of human
    activities in HRI, and to identify human preferences and
    requirements for the recognition of gestures in human-robot
    teaching scenarios.
    Original languageEnglish
    Title of host publicationProcs 15th IEEE Int Symposium on Robot & Human Interactive Communication
    Subtitle of host publicationRO-MAN 06
    PublisherIEEE
    Pages103-110
    ISBN (Print)1-4244-0564-5
    DOIs
    Publication statusPublished - 2006

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