https://scholars.lib.ntu.edu.tw/handle/123456789/488905
標題: | Towards an evidence-based and context-aware elderly caring system using persuasive engagement | 作者: | Yen, Y.C. Lu, C.H. Cheng, Y.C. Chen, J.S. LI-CHEN FU |
公開日期: | 2011 | 卷: | 6767 LNCS | 期: | PART 3 | 起(迄)頁: | 240-249 | 來源出版物: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 摘要: | 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. ? 2011 Springer-Verlag. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/488905 | DOI: | 10.1007/978-3-642-21666-4_27 | SDG/關鍵字: | Activity recognition; Aging population; Behavior change; Caring system; Context-Aware; elderly healthcare; Health status; Labor intensive; Living pattern; Persuasive technology; Physical resources; Rapid growth; Social cost; Behavioral research; Experiments; Health care; Human computer interaction; Knowledge management; Population statistics; Technology; Pattern recognition systems |
顯示於: | 資訊工程學系 |
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