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.
authors.affiliation: Laboratory of Synthetic Perceptive Emotive andCognitive Systems, Department of Technology, Universitat Pompeu Fabra, 08018 Barcelona, Spain. plustic@gmail.com
authors.forename: Jens
authors.initials: J
authors.lastname: Nirme
authors.forename: Armin
authors.initials: A
authors.lastname: Duff
authors.forename: Paul F M J
authors.initials: PF
authors.lastname: Verschure
mesh_terms: D000328:Adult; D000465:Algorithms; D001331:Automation; D003198:Computer Simulation; D005260:Female; D006801:Humans; D008297:Male; D008962:Models, Theoretical; D011597:Psychomotor Performance; D012046:Rehabilitation / Q000379:methods; D015203:Reproducibility of Results; D000071939:Stroke Rehabilitation; D014584:User-Computer Interface; D018910:Video Games