Ambient assisted living framework for elderly wellness determination through wireless sensor scalar data

N. K. Suryadevara; Chia Pang Chen; S. C. Mukhopadhyay; R. K. Rayudu

doi:10.1109/ICSensT.2013.6727730

Ambient assisted living framework for elderly wellness determination through wireless sensor scalar data

N. K. Suryadevara, Chia Pang Chen, S. C. Mukhopadhyay, R. K. Rayudu

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution

10 Citations (Scopus)

Abstract

In this paper, we have presented an integrated framework for healthcare management of Ambient Assisted Living for quantitative assessment of wellness related to an elderly in terms of their daily activities performance. The importance of the middleware in the integrated platform, its elements and services for the effective healthcare monitoring of an elderly is revealed. The emphasis of the middleware description is to provide the details of the technological intricacies related to the smart home monitoring system. The assimilated technologies in the middleware of the home monitoring system have led to an effective wellness determination of an elderly living alone in their own home.

Original language	English
Title of host publication	2013 7th International Conference on Sensing Technology, ICST 2013
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	632-639
Number of pages	8
ISBN (Print)	9781467352215
DOIs	https://doi.org/10.1109/ICSensT.2013.6727730
Publication status	Published - 2013
Externally published	Yes
Event	2013 7th International Conference on Sensing Technology, ICST 2013 - Wellington, New Zealand Duration: 3 Dec 2013 → 5 Dec 2013

Other

Other	2013 7th International Conference on Sensing Technology, ICST 2013
Country	New Zealand
City	Wellington
Period	3/12/13 → 5/12/13

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Cite this

Suryadevara, N. K., Chen, C. P., Mukhopadhyay, S. C., & Rayudu, R. K. (2013). Ambient assisted living framework for elderly wellness determination through wireless sensor scalar data. In 2013 7th International Conference on Sensing Technology, ICST 2013 (pp. 632-639). [6727730] Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICSensT.2013.6727730

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Suryadevara, NK, Chen, CP, Mukhopadhyay, SC & Rayudu, RK 2013, Ambient assisted living framework for elderly wellness determination through wireless sensor scalar data. in 2013 7th International Conference on Sensing Technology, ICST 2013., 6727730, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 632-639, 2013 7th International Conference on Sensing Technology, ICST 2013, Wellington, New Zealand, 3/12/13. https://doi.org/10.1109/ICSensT.2013.6727730

Ambient assisted living framework for elderly wellness determination through wireless sensor scalar data. / Suryadevara, N. K.; Chen, Chia Pang; Mukhopadhyay, S. C.; Rayudu, R. K.

2013 7th International Conference on Sensing Technology, ICST 2013. Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE), 2013. p. 632-639 6727730.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution

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AB - In this paper, we have presented an integrated framework for healthcare management of Ambient Assisted Living for quantitative assessment of wellness related to an elderly in terms of their daily activities performance. The importance of the middleware in the integrated platform, its elements and services for the effective healthcare monitoring of an elderly is revealed. The emphasis of the middleware description is to provide the details of the technological intricacies related to the smart home monitoring system. The assimilated technologies in the middleware of the home monitoring system have led to an effective wellness determination of an elderly living alone in their own home.

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Suryadevara NK, Chen CP, Mukhopadhyay SC, Rayudu RK. Ambient assisted living framework for elderly wellness determination through wireless sensor scalar data. In 2013 7th International Conference on Sensing Technology, ICST 2013. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). 2013. p. 632-639. 6727730 https://doi.org/10.1109/ICSensT.2013.6727730

Access to Document

10.1109/ICSensT.2013.6727730

Link to publication in Scopus