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International Conference on Computer Aided Systems Theory

EUROCAST 2011: Computer Aided Systems Theory – EUROCAST 2011 pp 187–194Cite as

The Different Possibilities for Gait Identification Based on Motion Capture

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6928))

Abstract

The domain of biometric motion identification undergoes an extensive research and development. An adaptation of one of the motion identification solutions can be the base for an implementation of a complex identification system. Such a system will always require well defined human skeleton, motion model, comparison algorithms as well as a properly constructed motion database. The results obtained while studying the system, greatly depend on the analysis methods. The main advantage of Motion Capture (MC) systems is the accuracy of recorded data. A Captured motion contains a lot of subtle details as their source is the life person (a human actor).

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Authors and Affiliations

  1. The Institute of Computer Engineering, Control and Robotics, Wrocław University of Technology, 11/17 Janiszewskiego Street, 50-372, Wrocław, Poland

    Ryszard Klempous

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  1. Ryszard Klempous
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Roberto Moreno-Díaz Franz Pichler Alexis Quesada-Arencibia

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Klempous, R. (2012). The Different Possibilities for Gait Identification Based on Motion Capture. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2011. EUROCAST 2011. Lecture Notes in Computer Science, vol 6928. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27579-1_24

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  • DOI: https://doi.org/10.1007/978-3-642-27579-1_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27578-4

  • Online ISBN: 978-3-642-27579-1

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