Using Passive Sensing to Estimate Relative Energy Expenditure for Eldercare Monitoring.

Proceedings of the ... IEEE International Conference on Pervasive Computing and Communications. IEEE International Conference on Pervasive Computing and Communications Pub Date : 2011-03-21 DOI:10.1109/PERCOMW.2011.5766968

Shuang Wang, Marjorie Skubic, Yingnan Zhu, Colleen Galambos

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引用次数: 4

Abstract

This paper describes ongoing work in analyzing sensor data logged in the homes of seniors. An estimation of relative energy expenditure is computed using motion density from passive infrared motion sensors mounted in the environment. We introduce a new algorithm for detecting visitors in the home using motion sensor data and a set of fuzzy rules. The visitor algorithm, as well as a previous algorithm for identifying time-away-from-home (TAFH), are used to filter the logged motion sensor data. Thus, the energy expenditure estimate uses data collected only when the resident is home alone. Case studies are included from TigerPlace, an Aging in Place community, to illustrate how the relative energy expenditure estimate can be used to track health conditions over time.

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利用被动感知估算老年人护理监测的相对能量消耗。

本文描述了正在进行的分析老年人家中记录的传感器数据的工作。利用安装在环境中的被动红外运动传感器的运动密度计算了相对能量消耗的估计。我们介绍了一种利用运动传感器数据和一组模糊规则来检测家中访客的新算法。访客算法以及之前的识别离家时间(TAFH)算法用于过滤记录的运动传感器数据。因此，能源消耗估算只使用居民独自在家时收集的数据。案例研究包括来自TigerPlace(一个老龄化社区)的案例研究，以说明如何使用相对能量消耗估算来跟踪一段时间内的健康状况。

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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Proceedings of the ... IEEE International Conference on Pervasive Computing and Communications. IEEE International Conference on Pervasive Computing and Communications

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