Applying SARIMA time series to forecast sleeping activity for wellness model of elderly monitoring in smart home
Applying SARIMA time series to forecast sleeping activity for wellness model of elderly monitoring in smart home
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Date
2012-12-01
Authors
Survadevara, N. K.
Mukhopadhyay, S. C.
Rayudu, R. K.
Journal Title
Journal ISSN
Volume Title
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Abstract
In this paper, we have reported a mechanism to forecast the sensing durations of various object usages in a smart home environment. Prognosis will assist in determining the quantitative well-being of an elderly and notify the daily activity behavior as regular or irregular. Prediction process involved in wellness model is the seasonal auto regression integration moving average routines based on the recorded sensing active status of everyday objects used by an elderly living alone. © 2012 IEEE.
Description
Keywords
Activity Recognition,
ADL,
ARIMA Time Series,
Wellnes,
Wireless Sensor Networks
Citation
Proceedings of the International Conference on Sensing Technology, ICST