Abstract
Due to the rapid growth of the aging population, numerous countries have been attaching importance to establishing the well-being of the elderly. However, long-term healthcare is labor intensive. To alleviate the possible social costs associated with manpower and physical resources, we propose an evidence-based caring system which can inconspicuously and automatically monitor the health status of the elderly by continuously analyzing their real-life long-term living patterns deduced from activity recognition. In this way, caregivers can get hold of the behavior changes even the elderly is not under caregivers’ supervision. Moreover, we adopt a persuasive policy to provide timely reminders and encourage the elderly to achieve a healthier life. In the primary stage, we do preliminary experiments in a nursing room. Based on the experiment, we conduct several interviews aiming to improve our system in the next phase.
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© 2011 Springer-Verlag Berlin Heidelberg
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Yen, Y.C., Lu, C.H., Cheng, Y.C., Chen, J.S., Fu, L.C. (2011). Towards an Evidence-Based and Context-Aware Elderly Caring System Using Persuasive Engagement. In: Stephanidis, C. (eds) Universal Access in Human-Computer Interaction. Context Diversity. UAHCI 2011. Lecture Notes in Computer Science, vol 6767. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21666-4_27
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DOI: https://doi.org/10.1007/978-3-642-21666-4_27
Publisher Name: Springer, Berlin, Heidelberg
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