• DocumentCode
    1876031
  • Title

    Assessing Virtual Rehabilitation Design with Biophysiological Metrics

  • Author

    Fidopiastis, Cali M. ; Hughes, Charles E. ; Smith, Eileen M. ; Nicholson, Denise M.

  • Author_Institution
    Institute for Simulation and Training at the University of Central Florida, Orlando, FL 32826 USA, phone: 407-882-1451; fax: 407-882-1335; e-mail: cfidopia@ist.ucf.edu.
  • fYear
    2007
  • fDate
    27-29 Sept. 2007
  • Firstpage
    86
  • Lastpage
    86
  • Abstract
    Efficacy of virtual rehabilitation applications is typically demonstrated by pre and post comparisons of observable behavioral metrics. These behaviors can be monitored via devices such as trackers or video capture and more traditional error rate metrics. However, monitoring the patient¿s emotional and cognitive changes during virtual rehabilitation may better guide the rehab process as well as the design of the rehab scenario. We explored the use of biophysiological metrics (EEG, GSR, and Respiration) in the design of a virtual restaurant for the purpose of engaging persons who stutter in verbal interactions during an everyday experience. The EEG results showed that participants experienced higher engagement in the virtual restaurant. Although respiration and GSR metrics differed for each participant, they correlated well with stressors presented in the scenario. The work supports the use of biophysiological measures as an objective means of assessing virtual rehabilitation protocols.
  • Keywords
    Brain modeling; Context modeling; Electroencephalography; Error analysis; Humans; Particle measurements; Patient monitoring; Protocols; Virtual reality; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Virtual Rehabilitation, 2007
  • Conference_Location
    Venice, Italy
  • Print_ISBN
    978-1-4244-1204-4
  • Electronic_ISBN
    978-1-4244-1204-4
  • Type

    conf

  • DOI
    10.1109/ICVR.2007.4362142
  • Filename
    4362142