G. Kwakkel, R. Wagenaar, T. Koelman, G. J. Lankhorst, and J. C. Koetsier, Effects of Intensity of Rehabilitation After Stroke : A Research Synthesis, Stroke, vol.28, issue.8, pp.1550-1556, 1997.
DOI : 10.1161/01.STR.28.8.1550

M. Cirstea and M. Levin, Improvement of Arm Movement Patterns and Endpoint Control Depends on Type of Feedback During Practice in Stroke Survivors, Neurorehabilitation and Neural Repair, vol.21, issue.5, pp.398-411, 2007.
DOI : 10.1177/1545968306298414

B. Dobkin, Rehabilitation after Stroke, New England Journal of Medicine, vol.352, issue.16, pp.1677-1684, 2005.
DOI : 10.1056/NEJMcp043511

J. Howcroft, S. Klejman, D. Fehlings, V. Wright, K. Zabjek et al., Active Video Game Play in Children With Cerebral Palsy: Potential for Physical Activity Promotion and Rehabilitation Therapies, Archives of Physical Medicine and Rehabilitation, vol.93, issue.8, pp.1448-1456, 2012.
DOI : 10.1016/j.apmr.2012.02.033

T. W. Malone, What makes computer games fun?, pp.258-277, 1980.

M. Csikszentmihalyi, Beyond Boredom and Anxiety: Experiencing Flow in Work and Play, 2000.

S. Avila-sansores, F. Orihuela-espina, and L. Enrique-sucar, Patient Tailored Virtual Rehabilitation, Converging Clinical and Engineering Research on Neurorehabilitation, pp.879-883, 2013.
DOI : 10.1007/978-3-642-34546-3_143

B. Rabin, G. Burdea, J. Hundal, D. Roll, and F. Damiani, Integrative motor, emotive and cognitive therapy for elderly patients chronic post-stroke A feasibility study of the BrightArm™ rehabilitation system, 2011 International Conference on Virtual Rehabilitation, 2011.
DOI : 10.1109/ICVR.2011.5971852

M. S. Cameirão, S. B. Badia, E. D. Oller, and P. Verschure, Neurorehabilitation using the virtual reality based Rehabilitation Gaming System: methodology, design, psychometrics, usability and validation, Journal of NeuroEngineering and Rehabilitation, vol.7, issue.1, p.48, 2010.
DOI : 10.1186/1743-0003-7-48

M. Pirovano, R. Mainetti, G. Baud-bovy, P. Lanzi, and N. Borghese, Self-adaptive games for rehabilitation at home, 2012 IEEE Conference on Computational Intelligence and Games (CIG), pp.179-186, 2012.
DOI : 10.1109/CIG.2012.6374154

M. Mihelj, D. Novak, M. Milavec, J. Ziherl, A. Olen?ek et al., Virtual Rehabilitation Environment Using Principles of Intrinsic Motivation and Game Design, Presence: Teleoperators and Virtual Environments, vol.17, issue.1, pp.1-15, 2012.
DOI : 10.1002/cne.920180503

N. Hocine, A. Gouaich, D. Loreto, I. Joab, and M. , Motivation based difficulty adaptation for therapeutic games, 2011 IEEE 1st International Conference on Serious Games and Applications for Health (SeGAH), pp.1-8, 2011.
DOI : 10.1109/SeGAH.2011.6165459

URL : https://hal.archives-ouvertes.fr/lirmm-00815709

A. Gouaich, N. Hocine, L. Van-dokkum, and D. Mottet, Digital-pheromone based difficulty adaptation in post-stroke therapeutic games, Proceedings of the 2nd ACM SIGHIT symposium on International health informatics, IHI '12, pp.5-12, 2012.
DOI : 10.1145/2110363.2110368

URL : https://hal.archives-ouvertes.fr/lirmm-00646322

O. R. Vincent and O. Folorunso, A descriptive algorithm for sobel image edge detection, Proceedings of Informing Science & IT Education Conference (InSITE), pp.97-107, 2009.

S. Tavener, D. Perez, S. Samothrakis, and S. Colton, A Survey of Monte Carlo Tree Search Methods, IEEE Transactions on Computational Intelligence and AI in Games, 2012.

L. Kocsis and C. Szepesvári, Bandit Based Monte-Carlo Planning, Machine Learning: ECML 2006, pp.282-293, 2006.
DOI : 10.1007/11871842_29

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

W. Scott, Activation theory and task design, Organizational Behavior and Human Performance, vol.1, issue.1, 1966.
DOI : 10.1016/0030-5073(66)90003-1

J. W. Atkinson, Motivational determinants of risk-taking behavior, Psychological review, vol.64, 1957.