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Eigengestures for Natural Human Computer Interface

  • Conference paper
Man-Machine Interactions 2

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 103))

Abstract

We present the application of Principal Component Analysis for data acquired during the design of a natural gesture interface. We investigate the concept of an eigengesture for motion capture hand gesture data and present the visualisation of principal components obtained in the course of conducted experiments. We also show the influence of dimensionality reduction on reconstructed gesture data quality.

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Author information

Authors and Affiliations

  1. Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Bałtycka 5, 44-100, Gliwice, Poland

    Piotr Gawron, Przemysław Głomb, Jarosław A. Miszczak & Zbigniew Puchała

Authors
  1. Piotr Gawron
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  2. Przemysław Głomb
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  3. Jarosław A. Miszczak
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  4. Zbigniew Puchała
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Editor information

Editors and Affiliations

  1. Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Bałtycka 5, 44-100, Gliwice, Poland

    Tadeusz Czachórski

  2. Institute of Informatics, Silesian University of Technology, Akademicka 16, 44-100, Gliwice, Poland

    Stanisław Kozielski  & Urszula Stańczyk  & 

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© 2011 Springer-Verlag Berlin Heidelberg

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Gawron, P., Głomb, P., Miszczak, J.A., Puchała, Z. (2011). Eigengestures for Natural Human Computer Interface. In: Czachórski, T., Kozielski, S., Stańczyk, U. (eds) Man-Machine Interactions 2. Advances in Intelligent and Soft Computing, vol 103. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23169-8_6

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  • DOI: https://doi.org/10.1007/978-3-642-23169-8_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23168-1

  • Online ISBN: 978-3-642-23169-8

  • eBook Packages: EngineeringEngineering (R0)

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