Seniors expect to age in place, which means living in their own homes as long as possible with familiar facilities and environments. Due to the capability of continuous and unobtrusive monitoring, the sensor-enhanced in-ho monitoring is regarded as a promising solution to support aging in place. In this paper, by reviewing three influential projects in this field of in-home monitoring for aging in place, we present our opinions and suggestions on the development of informatics-supported aging in place for its practical application in healthcare such as diagnosis and nursing in the era of data science. To promote the practical usage of in-home monitoring in aging, we highlight the gap between demands and available approaches. We conclude that in the next stage we should design demand-oriented system, conduct evidence-based research and accelerate interdisciplinary collaboration.
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