基于PIR传感器数据的老年人在家中运动的可视化

A. O'Brien, Kevin McDaid, John Loane, Julie Doyle, B. O'Mullane
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引用次数: 22

摘要

随着人口寿命的延长,超过退休年龄的人数正在增加。需要更多的支持来监测这一老龄化人口的健康状况,以确保及早发现与年龄有关的疾病,从而保持健康。环境传感器,例如在Great Northern Haven (GNH)住宅中使用的传感器,允许以不显眼的方式进行连续监测。在本文中,我们展示了从位于三个区域的被动红外(PIR)传感器中提取的传感器数据的可视化,即客厅,走廊和主卧室,在12个独立的生活公寓中。这种居民运动的表现可以用来推断运动模式随时间的变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visualisation of movement of older adults within their homes based on PIR sensor data
As the population lives longer, the number of people beyond the age of retirement is rising. Additional support is required to monitor the health of this aging population to ensure early detection of age related illnesses and accordingly to maintain wellbeing. Ambient sensors, such as those used in Great Northern Haven (GNH) residences, allow for continuous monitoring in an unobtrusive manner. In this paper we present visualisations of sensor data drawn from passive infra red (PIR) sensors located in three areas, i.e. the living room, hallway and main bedroom, in each of twelve independent living apartments. This representation of residents' movement can be used to infer changes in movement patterns over time.
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