@inproceedings{ff16fae46aad4381ba92a40467c6e478,
title = "Reliable measurement of Wireless Sensor Network data for forecasting wellness of elderly at smart home",
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.",
keywords = "Smart Home, Time Series Analysis, Wellness, Wireless Sensor Networks",
author = "Suryadevara, {N. K.} and Mukhopadhyay, {S. C.} and R. Wang and Rayudu, {R. K.} and Huang, {Y. M.}",
year = "2013",
doi = "10.1109/I2MTC.2013.6555372",
language = "English",
isbn = "9781467346221",
series = "Conference Record - IEEE Instrumentation and Measurement Technology Conference",
pages = "16--21",
booktitle = "2013 IEEE International Instrumentation and Measurement Technology Conference",
note = "2013 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Life, I2MTC 2013 ; Conference date: 06-05-2013 Through 09-05-2013",
}