Abstract
Alzheimer disease becomes a major issue in elder population. To enhance their autonomy and solve future financial issues, we propose an adaptive game based on a non-intrusive shoe-mounted accelerometer able to recognize daily activities and errors. By solving puzzles, the user can train himself his erroneous activities, and re-learn a few. The main goal behind this game is to delay the cognitive decline while creating an evaluation tool for the health-care professional by the computation of a score taking into account the correctitude and the perseverance.
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Vandewynckel, J., Otis, M.J.D., Bouchard, B., Menelas, BA.J. (2013). Training Adapted to Alzheimer Patients for Reducing Daily Activities Errors and Cognitive Decline. In: Ma, M., Oliveira, M.F., Petersen, S., Hauge, J.B. (eds) Serious Games Development and Applications. SGDA 2013. Lecture Notes in Computer Science, vol 8101. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40790-1_3
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DOI: https://doi.org/10.1007/978-3-642-40790-1_3
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