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International Conference on Ubiquitous Computing and Ambient Intelligence

UCAmI 2016: Ubiquitous Computing and Ambient Intelligence pp 111–120Cite as

Real Time Gait Analysis Using RGB Camera

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10069))

Abstract

In this paper we propose a vision based gait analysis approach that work under real time constraints. We propose the use of a multiresolution pyramid image representation that allows to provide suboptimal responses if the deadline is reached. The impact of each suboptimal response is analysed showing that although there is an impact in the quality of the output, the gait analysis algorithm still provides satisfactory results. In addition, the adjustment to time constraints of the proposed approach is also analysed showing suitability for real time constraints.

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Acknowledgements

This research is part of the FRASE MINECO project (TIN2013-47152-C3-2-R) funded by the Ministry of Economy and Competitiveness of Spain.

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Authors and Affiliations

  1. Department of Computing Technology, University of Alicante, Campus San Vicente del Raspeig, Alicante, Spain

    Mario Nieto-Hidalgo & Juan Manuel García-Chamizo

Authors
  1. Mario Nieto-Hidalgo
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  2. Juan Manuel García-Chamizo
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Corresponding author

Correspondence to Mario Nieto-Hidalgo .

Editor information

Editors and Affiliations

  1. University of Las Palmas de Gran Canaria, Las Palmas, Spain

    Carmelo R. García

  2. Departamento de Estadistica, Universidad La Laguna, La Laguna, Spain

    Pino Caballero-Gil

  3. Florida State University, Tallahassee, Florida, USA

    Mike Burmester

  4. University of Las Palmas de Gran Canaria, Las Palmas, Spain

    Alexis Quesada-Arencibia

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© 2016 Springer International Publishing AG

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Nieto-Hidalgo, M., García-Chamizo, J.M. (2016). Real Time Gait Analysis Using RGB Camera. In: García, C., Caballero-Gil, P., Burmester, M., Quesada-Arencibia, A. (eds) Ubiquitous Computing and Ambient Intelligence. UCAmI 2016. Lecture Notes in Computer Science(), vol 10069. Springer, Cham. https://doi.org/10.1007/978-3-319-48746-5_12

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  • DOI: https://doi.org/10.1007/978-3-319-48746-5_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48745-8

  • Online ISBN: 978-3-319-48746-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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