skip to main content
10.1145/2503368.2503369acmconferencesArticle/Chapter ViewAbstractPublication PagessiggraphConference Proceedingsconference-collections
research-article

AGATHE: a tool for personalized rehabilitation of cognitive functions

Published:21 July 2013Publication History

ABSTRACT

Stroke, traumatic brain injury, multiple sclerosis, Parkinson's disease, Alzheimer's... Every year in France, tens of thousands of people fall victim to one of those neurological pathologies. Acquired brain injury leads to cognitive impairment and heavy loss of autonomy. Rehabilitation interventions are needed to enable people to recover capacity and return to Activities of Daily Living (ADL), such as grocery shopping. Unfortunately, the resources made available in cognitive rehabilitation are insufficient for the growing needs of victims of brain damage. The assets of virtual reality to address this big problem of public health are today scientifically recognized [Rizzo and Kim 2005; Klinger, et al. 2010].

In this context, we designed the AGATHE tool (Adaptable, configurable and upgradable tool for the generation of personalized therapeutic applications in cognitive rehabilitation) (AGATHE project, ANR-09-TECS-002).

References

  1. Klinger, E., Weiss, P. L., and Joseph, P. A. 2010. Hidden Curve Virtual reality for learning and rehabilitation. In Rethinking physical and rehabilitation medicine (Didier JP, Bigand E, eds), Paris: Springer, 203--221.Google ScholarGoogle Scholar
  2. Rizzo, A., and Kim, G. J. 2005. A SWOT analysis of the field of virtual reality rehabilitation and therapy. Presence: Teleoper Virtual Environ, 14(2):119--146. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. AGATHE: a tool for personalized rehabilitation of cognitive functions
    Index terms have been assigned to the content through auto-classification.

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      SIGGRAPH '13: ACM SIGGRAPH 2013 Emerging Technologies
      July 2013
      16 pages
      ISBN:9781450323406
      DOI:10.1145/2503368

      Copyright © 2013 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 21 July 2013

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article

      Acceptance Rates

      Overall Acceptance Rate1,822of8,601submissions,21%
    • Article Metrics

      • Downloads (Last 12 months)8
      • Downloads (Last 6 weeks)2

      Other Metrics

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader