Abstract
Strokes are the most widely recognized reason of long-term disability of adults in developed countries. Continuous participation in rehabilitation can alleviate some of its consequences and support recovery of stroke patients. However, physical rehabilitation requires commitment to tedious exercise routines over lengthy periods of time, which often causes patients to drop out of therapy routines. In this context, game-based stroke rehabilitation has the opportunity to address two important barriers: accessibility of rehabilitation, and patient motivation. This chapter provides a comprehensive analysis on the advances in human-computer interaction (HCI) and development of games to support stroke rehabilitation. There are existing cases in the field of game-based stroke rehabilitation studied, for example the development of motion-based video games particularly addressing rehabilitation among stroke patients. This chapter discusses the effectiveness of design efforts in HCI and games research to support stroke rehabilitation by integrating findings from medical research that consider health outcomes of game based stroke rehabilitation. Based on these findings, challenges and opportunities in game based stroke rehabilitation are discussed. Critical components that influence the effectiveness of Tele-rehabilitation are identified and further design opportunities in the field of game-based stroke rehabilitation are explored as an important step toward the creation of games that are accessible, motivating and enjoyable for stroke patients. Finally, the chapter presents the challenges and opportunities in game-based stroke rehabilitation.
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Acknowledgements
We would like to thank NSERC and UOIT for their research support. We also would like to thank Dr. Reza Talebi for his contribution to this study.
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Kamkarhaghighi, M., Mirza-Babaei, P., El-Khatib, K. (2017). Game-Based Stroke Rehabilitation. In: Brooks, A., Brahnam, S., Kapralos, B., Jain, L. (eds) Recent Advances in Technologies for Inclusive Well-Being. Intelligent Systems Reference Library, vol 119 . Springer, Cham. https://doi.org/10.1007/978-3-319-49879-9_8
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DOI: https://doi.org/10.1007/978-3-319-49879-9_8
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