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

dc.contributor.author	Suryadevara, N. K.
dc.contributor.author	Mukhopadhyay, S. C.
dc.contributor.author	Wang, R.
dc.contributor.author	Rayudu, R. K.
dc.contributor.author	Huang, Y. M.
dc.date.accessioned	2022-03-27T05:58:02Z
dc.date.available	2022-03-27T05:58:02Z
dc.date.issued	2013-08-23
dc.description.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. © 2013 IEEE.
dc.identifier.citation	Conference Record - IEEE Instrumentation and Measurement Technology Conference
dc.identifier.issn	10915281
dc.identifier.uri	10.1109/I2MTC.2013.6555372
dc.identifier.uri	http://ieeexplore.ieee.org/document/6555372/
dc.identifier.uri	https://dspace.uohyd.ac.in/handle/1/8953
dc.subject	Smart Home
dc.subject	Time Series Analysis
dc.subject	Wellness
dc.subject	Wireless Sensor Networks
dc.title	Reliable measurement of Wireless Sensor Network data for forecasting wellness of elderly at smart home
dc.type	Conference Proceeding. Conference Paper
dspace.entity.type

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