Ant-based approach for dynamic difficulty adaptation in post-stroke therapeutic games

Abdelkader Gouaich 1 Nadia Hocine 1
1 SMILE - Système Multi-agent, Interaction, Langage, Evolution
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : In this paper, we propose a dynamic difficulty adaptation approach for serious games dedicated to upper-limb rehabilitation after stroke. The proposed approach aims to provide a personalized rehabilitation session in which the training intensity and challenges can be adapted to patient's abilities and training needs. The objective is to increase the rehabilitation volume by getting the patient engaged to the therapy session. This approach has been implemented and tested through a point and click game. Finally, we present a pilot experiment that we have conducted with healthy people in order to explain how this approach has been implemented and integrated to post-stroke therapeutic games.
Type de document :
Article dans une revue
International journal of computer science in sport, IACSS University of Vienna A Braca, 2012, 11 (1), pp.20
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00815693
Contributeur : Abdelkader Gouaich <>
Soumis le : vendredi 10 mai 2013 - 14:22:22
Dernière modification le : jeudi 11 janvier 2018 - 06:26:17

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  • HAL Id : lirmm-00815693, version 1

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Abdelkader Gouaich, Nadia Hocine. Ant-based approach for dynamic difficulty adaptation in post-stroke therapeutic games. International journal of computer science in sport, IACSS University of Vienna A Braca, 2012, 11 (1), pp.20. 〈lirmm-00815693〉

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