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International Gesture Workshop

GW 2003: Gesture-Based Communication in Human-Computer Interaction pp 10–19Cite as

The Features People Use to Recognize Human Movement Style

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2915))

Abstract

Observation of human movement informs a variety of person properties. However, it is unclear how this understanding of person properties is derived from the complex visual stimulus of human movement. I address this topic by first reviewing the literature on the visual perception of human movement and then discussing work that has explored the features used to discriminate between different styles of movement. This discussion includes work on quantifying human performance at style recognition, exaggeration of human movement and finally experimental derivation of a feature space to represent human emotion.

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Author information

Authors and Affiliations

  1. Department of Psychology, University of Glasgow, 58 Hillhead Street, Glasgow, G12 8QB, UK

    Frank E. Pollick

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  1. Frank E. Pollick
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Editor information

Editors and Affiliations

  1. InfoMus Lab, DIST- University of Genova, Viale Causa 13, I-16145, Genova, Italy

    Antonio Camurri

  2. InfoMus Lab, DIST University of Genova, Viale Causa 13, I-16145, Genova, Italy

    Gualtiero Volpe

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© 2004 Springer-Verlag Berlin Heidelberg

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Pollick, F.E. (2004). The Features People Use to Recognize Human Movement Style. In: Camurri, A., Volpe, G. (eds) Gesture-Based Communication in Human-Computer Interaction. GW 2003. Lecture Notes in Computer Science(), vol 2915. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24598-8_2

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  • DOI: https://doi.org/10.1007/978-3-540-24598-8_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21072-6

  • Online ISBN: 978-3-540-24598-8

  • eBook Packages: Springer Book Archive

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