An innovative approach for monitoring elderly behavior by detecting home appliance's usage

L. Patrono, P. Primiceri, Piercosimo Rametta, Ilaria Sergi, P. Visconti
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引用次数: 18

Abstract

Detecting how elderly people interact with their surrounding environment, especially with domestic electrical appliances, is an important parameter to assess Mild Cognitive Impairments and frailty issues. This paper proposes an innovative approach for monitoring elderly behavior by detecting home appliance's usage. It is based on an unobtrusive smart meter that periodically measures the global power consumption in the house, associated with some smart plugs for punctually monitoring specific electrical devices. This infrastructure has been implemented and validated within the Personal Data Capturing System of the City4Age Platform, where, joined with other provided monitoring systems, can feed risk detection algorithms with more accurate data. Summarizing, implemented system, although simple and at low cost, is able to combine data provided by designed power meter with those of smart meter plugs and, by means of implemented algorithms, to detect unusual elder behavior, moreover resulting reliable and accurate.
一种通过检测家用电器使用情况来监测老年人行为的创新方法
检测老年人如何与周围环境互动,特别是与家用电器互动,是评估轻度认知障碍和虚弱问题的重要参数。本文提出了一种通过检测家用电器的使用情况来监测老年人行为的创新方法。它基于一个不显眼的智能电表,定期测量家中的全球用电量,并与一些智能插头相关联,用于准时监控特定的电气设备。该基础设施已在City4Age平台的个人数据采集系统中实施和验证,该系统与其他提供的监控系统相结合,可以为风险检测算法提供更准确的数据。综上所述,实现的系统虽然简单且成本低,但能够将设计的电表数据与智能电表插头数据相结合,通过实现的算法检测老年人异常行为,且结果可靠准确。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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