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
Link To Document :
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