Wellness determination of inhabitant based on daily activity behaviour in real-time monitoring using sensor networks

dc.contributor.author	Suryadevara, N. K.
dc.contributor.author	Gaddam, A.
dc.contributor.author	Mukhopadhyay, S. C.
dc.contributor.author	Rayudu, R. K.
dc.date.accessioned	2022-03-27T05:58:14Z
dc.date.available	2022-03-27T05:58:14Z
dc.date.issued	2011-12-01
dc.description.abstract	In this study, we reported a Wireless Sensor Network (WSN) based system for monitoring daily living activities of inhabitant and smart software including novel technique for determining wellness of the inhabitant based on activity usage of household appliances. We defined two new wellness functions to determine the status of the inhabitant in real-time and were able to find out regular character of the inhabitant in a sensor equipped home. Developed intelligent program was tested at four different houses with only single inhabitant. Results of wellness determination are encouraging in deriving habitual behaviour of the inhabitant. © 2011 IEEE.
dc.identifier.citation	Proceedings of the International Conference on Sensing Technology, ICST
dc.identifier.issn	21568065
dc.identifier.uri	10.1109/ICSensT.2011.6137025
dc.identifier.uri	http://ieeexplore.ieee.org/document/6137025/
dc.identifier.uri	https://dspace.uohyd.ac.in/handle/1/8965
dc.subject	Activity Recognition
dc.subject	ADL
dc.subject	Wellness
dc.subject	Wireless Sensor Networks
dc.title	Wellness determination of inhabitant based on daily activity behaviour in real-time monitoring using sensor networks
dc.type	Conference Proceeding. Conference Paper
dspace.entity.type

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