Reliable measurement of Wireless Sensor Network data for forecasting wellness of elderly at smart home

N. Suryadevara, S. Mukhopadhyay, R. Wang, R. Rayudu, Y. M. Huang
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引用次数: 29

Abstract

In this paper, we present an engineering system for monitoring and forecasting wellness of an elderly person in relation to performance of daily activities. Complex behavioural changes of daily activities are captured in real time for reliable measurement of wellness operations. These tasks are realized with the sensor status of the household objects in use by the elderly in combination with prediction process of time series data processing algorithm. This will assist in determining the quantitative well-being of an elderly and alert if the daily activity behaviour is irregular.
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可靠测量无线传感器网络数据,预测智能家居中老年人的健康状况
在本文中,我们提出了一个工程系统,用于监测和预测老年人的健康与日常活动的表现。日常活动的复杂行为变化被实时捕获,以可靠地衡量健康行动。这些任务是通过对老年人使用的家居物品的传感器状态,结合时间序列数据处理算法的预测过程来实现的。这将有助于确定老年人的定量健康状况,并在日常活动行为不规律时发出警报。
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