Smart homes equipped with ambient wireless sensor networks provide new opportunities to help older adults age-in-place, improve their quality of life and help better manage their health and wellness. In this paper, we present a methodology that estimates occupants’ status as active, sedentary, in-bed, out-of-home and unobservable, their location in the house, and their daily activities related to overall health and wellness. The methodology is used to visualize and examine the daily patterns and activities of older adults living in their own homes and participating in a smart home research project. The proposed location and status estimation algorithm is highly accurate as validated by a mobile app that prompts participants with questions about the estimated time of their daily activities. A case study involving a significant health-related life event is presented where the participant’s account of changes in her patterns and activities through bi-weekly interviews are shown to confirm inferences based on the results of the proposed methodology.

中文翻译：

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使用环境传感器网络进行健康和健康监控

配备环境无线传感器网络的智能家居提供了新的机会，可以帮助老年人就地养老，改善他们的生活质量并更好地管理他们的健康状况。在本文中，我们提出了一种方法来估算居住者的状态：活跃，久坐，卧床，外出和无法观察，他们在房屋中的位置以及与整体健康状况有关的日常活动。该方法用于可视化和检查居住在自己家里并参加智能家居研究项目的老年人的日常活动和活动。所提出的位置和状态估计算法非常准确，这一点已通过移动应用程序验证，该应用程序会提示参与者有关其日常活动的估计时间的问题。