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Proxemics Measurement During Social Anxiety Disorder Therapy Using a RGBD Sensors Network

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Bio-Imaging and Visualization for Patient-Customized Simulations

Part of the book series: Lecture Notes in Computational Vision and Biomechanics ((LNCVB,volume 13))

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Abstract

In this paper, we focus on the development of a new ecological methodology to study proxemics behaviors. We based our approach on a network of RGBD cameras, calibrated together. The use of this type of sensors lets us build a 3D multiview recording installation working in various natural settings. The skeleton tracking functionalities, provided by the multiple 3D data, are a useful tool to make proxemics observation and automatically code these non-verbal cues. Our goal is to propose a new approach to study proxemics behaviors of patients suffering from social anxiety disorder to improve observation capabilities of the therapist with an unobtrusive, ecological and precise measurement system.

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Authors and Affiliations

  1. TCTS Lab, University Of Mons, 31 Boulevard Dolez, 7000 , Mons, Belgium

    Julien Leroy, François Rocca & Bernard Gosselin

Authors
  1. Julien Leroy
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  2. François Rocca
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  3. Bernard Gosselin
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Corresponding author

Correspondence to Julien Leroy .

Editor information

Editors and Affiliations

  1. Department of mechanical engineering, Universidade do Porto, Porto, Portugal

    João Manuel R. S. Tavares

  2. Graduate School of Information Science, Nagoya University, Nagoya, Japan

    Xiongbiao Luo

  3. GE Healthcare and University of Western Ontario, London, Ontario, Canada

    Shuo Li

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© 2014 Springer International Publishing Switzerland

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Leroy, J., Rocca, F., Gosselin, B. (2014). Proxemics Measurement During Social Anxiety Disorder Therapy Using a RGBD Sensors Network. In: Tavares, J., Luo, X., Li, S. (eds) Bio-Imaging and Visualization for Patient-Customized Simulations. Lecture Notes in Computational Vision and Biomechanics, vol 13. Springer, Cham. https://doi.org/10.1007/978-3-319-03590-1_8

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  • DOI: https://doi.org/10.1007/978-3-319-03590-1_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03589-5

  • Online ISBN: 978-3-319-03590-1

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