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VR-Assisted Physical Rehabilitation: Adapting to the Needs of Therapists and Patients

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Virtual Realities

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8844))

Abstract

Virtual Reality technologies are slated to transform the practice of physical rehabilitation and the potential benefits have only started to be explored. We present in this paper a direct motion demonstration approach for allowing therapists to intuitively create and edit customized exercises and therapy programs that are responsive to the needs of their patients. We propose adaptive exercise models, motion processing algorithms, and delivery techniques designed to achieve exercises that effectively respond to physical limitations and recovery rates of individual patients. Remote networked solutions are also presented for allowing therapists and patients to intuitively share their motions during real-time collaborative therapy sessions. Our solutions have been implemented as a low-cost portable system based on a Kinect sensor, and as a high-end virtual reality system providing full-scale immersion. We analyze and discuss our methods and systems in light of feedback received from therapists.

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Acknowledgements

This work was partially supported by CITRIS grant number 128, by NSF award CNS-1305196, and by a HSRI San Joaquin Valley eHealth Network seed grant funded by AT&T.

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Authors and Affiliations

  1. School of Engineering, University of California Merced, Merced, USA

    Marcelo Kallmann & Carlo Camporesi

  2. Department of Physical Medicine and Rehabilitation, University of California Davis, Davis, USA

    Jay Han

Authors
  1. Marcelo Kallmann
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  2. Carlo Camporesi
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  3. Jay Han
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Corresponding author

Correspondence to Marcelo Kallmann .

Editor information

Editors and Affiliations

  1. TU Chemnitz, Chemnitz, Germany

    Guido Brunnett

  2. Inria Rhône-Alpes, Saint Ismier Cedex, France

    Sabine Coquillart

  3. CWI - Amsterdam, Amsterdam, The Netherlands

    Robert van Liere

  4. The University of Central Florida, Orlando, Florida, USA

    Gregory Welch

  5. Technische Universität Chemnitz, Chemnitz, Germany

    Libor Váša

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Kallmann, M., Camporesi, C., Han, J. (2015). VR-Assisted Physical Rehabilitation: Adapting to the Needs of Therapists and Patients. In: Brunnett, G., Coquillart, S., van Liere, R., Welch, G., Váša, L. (eds) Virtual Realities. Lecture Notes in Computer Science(), vol 8844. Springer, Cham. https://doi.org/10.1007/978-3-319-17043-5_9

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  • DOI: https://doi.org/10.1007/978-3-319-17043-5_9

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  • Online ISBN: 978-3-319-17043-5

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