Paper Info
Title
A framework for adaptive training and games in virtual reality rehabilitation environments
Abstract
The training of severely disabled individuals on the use of electric power wheelchairs creates many challenges, particularly in the case of children. The adjustment of equipment and training on a per-patient basis in an environment with limited specialists and resources often leads to a reduced amount of training time per patient. Virtual reality rehabilitation has recently been proven an effective way to supplement patient rehabilitation, although some important challenges remain including high setup/equipment costs and time-consuming continual adjustments to the simulation as patients improve. We propose a design for a flexible, low-cost rehabilitation system that uses virtual reality training and games to engage patients in effective instruction on the use of powered wheelchairs. We also propose a novel framework based on Bayesian networks for self-adjusting adaptive training in virtual rehabilitation environments. Preliminary results from a user evaluation and feedback from our rehabilitation specialist collaborators support the effectiveness of our approach.
Year
DOI
Venue
2011
10.1145/2087756.2087810
VRCAI
Keywords
Field
DocType
virtual reality rehabilitation environment,equipment cost,virtual reality rehabilitation,rehabilitation specialist collaborator,low-cost rehabilitation system,training time,adaptive training,virtual reality training,patient rehabilitation,effective instruction,virtual rehabilitation environment,electric power,virtual reality,bayesian network
Rehabilitation,Virtual reality,Computer science,Simulation,Rehabilitation specialist,Bayesian network,Multimedia,Powered wheelchairs,Virtual rehabilitation
Conference
Citations 
PageRank 
References 
12
1.59
4
Authors
4
Name
Order
Citations
PageRank
Nathaniel Rossol1214.20
Irene Cheng228335.18
Walter F. Bischof330934.19
Anup Basu474997.26