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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/16900

Title: Adaptive Personalized Training Games for Individual and Collaborative Rehabilitation of People with Multiple Sclerosis
Authors: OCTAVIA, Johanna
Issue Date: 2014
Citation: BioMed Research International, 2014
Abstract: Any rehabilitation involves people who are unique individuals with their own characteristics and rehabilitation needs, including patients suffering from Multiple Sclerosis (MS). The prominent variation of MS symptoms and the disease severity elevate a need to accommodate the patient diversity and support adaptive personalized training to meet every patient’s rehabilitation needs. In this paper, we focus on integrating adaptivity and personalization in rehabilitation training for MS patients. We introduced the automatic adjustment of difficulty levels as an adaptation that can be provided in individual and collaborative rehabilitation training exercises for MS patients. Two user studies have been carried out with nine MS patients to investigate the outcome of this adaptation. The findings showed that adaptive personalized training trajectories have been successfully provided to MS patients according to their individual training progress, which was appreciated by the patients and the therapist. They considered the automatic adjustment of difficulty levels to provide more variety in the training and to minimize the therapists involvement in setting up the training. With regard to social interaction in the collaborative training exercise, we have observed some social behaviors between the patients and their training partner which indicated the development of social interaction during the training.
Notes: [Octavia, Johanna Renny] Parahyangan Catholic Univ, Dept Ind Engn, Bandung 40141, Indonesia. [Octavia, Johanna Renny; Coninx, Karin] Hasselt Univ, Expertise Ctr Digital Media tUL iMinds, B-3590 Diepenbeek, Belgium.
URI: http://hdl.handle.net/1942/16900
DOI: 10.1155/2014/345728
ISI #: 000337410300001
ISSN: 2314-6133
Category: A1
Type: Journal Contribution
Validation: ecoom, 2015
Appears in Collections: Research publications

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