Abstract.
This article proposes an innovative Smartphone-based architecture designed to assess, monitor, improve and train sensorimotor abilities at home. This system comprises inertial sensors to measure orientations, calculation units to analyze sensorimotor control abilities, visual, auditory and somatosensory systems to provide biofeedback to the user, screen display and headphones to provide test and/or training exercises instructions, and wireless connection to transmit data. We present two mobile applications, namely “iBalance” and “iProprio”, to illustrate concrete realization of such architecture in the case of at-home autonomous assessment and rehabilitation programs for balance and proprioceptive abilities. Our findings suggest that the present architecture system, which does not involve dedicated and specialized equipment, but which is entirely embedded on a Smartphone, could be a suitable solution for Ambient Assisted Living technologies.
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Mourcou, Q., Fleury, A., Franco, C., Diot, B., Vuillerme, N. (2015). Smartphone-Based System for Sensorimotor Control Assessment, Monitoring, Improving and Training at Home. In: Geissbühler, A., Demongeot, J., Mokhtari, M., Abdulrazak, B., Aloulou, H. (eds) Inclusive Smart Cities and e-Health. ICOST 2015. Lecture Notes in Computer Science(), vol 9102. Springer, Cham. https://doi.org/10.1007/978-3-319-19312-0_12
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DOI: https://doi.org/10.1007/978-3-319-19312-0_12
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