Paper Info
Title
Adaptive rehabilitation gaming system: on-line individualization of stroke rehabilitation.
Abstract
The effects of stroke differ considerably in degree and symptoms for different patients. It has been shown that specific, individualized and varied therapy favors recovery. The Rehabilitation Gaming System (RGS) is a Virtual Reality (VR) based rehabilitation system designed following these principles. We have developed two algorithms to control the level of task difficulty that a user of the RGS is exposed to, as well as providing controlled variation in the therapy. In this paper, we compare the two algorithms by running numerical simulations and a study with healthy subjects. We show that both algorithms allow for individualization of the challenge level of the task. Further, the results reveal that the algorithm that iteratively learns a user model for each subject also allows a high variation of the task.
Year
DOI
Venue
2011
10.1109/IEMBS.2011.6091665
EMBC
Keywords
Field
DocType
on-line individualization,iterative learning,virtual reality,task difficulty,stroke rehabilitation,patient therapy,virtual reality based rehabilitation system,patient rehabilitation,numerical simulation,adaptive rehabilitation gaming system,user model,user modelling,rgs,iterative methods,computer games,prediction model,system design,prediction algorithms,games,noise,predictive models
Rehabilitation,Virtual reality,Numerical models,Computer science,Stroke,Medical treatment,Human–computer interaction,Prediction algorithms,User modeling
Conference
Volume
ISSN
ISBN
2011
1557-170X
978-1-4244-4122-8
Citations 
PageRank 
References 
3
0.59
0
Authors
3
Name
Order
Citations
PageRank
Jens Nirme141.72
Armin Duff2498.22
P J Verschure3173.71