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

N. K. Suryadevara; S. C. Mukhopadhyay; R. Wang; R. K. Rayudu; Y. M. Huang

doi:10.1109/I2MTC.2013.6555372

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

N. K. Suryadevara, S. C. Mukhopadhyay^*, R. Wang, R. K. Rayudu, Y. M. Huang

^*Corresponding author for this work

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

28 Citations (Scopus)

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.

Original language	English
Title of host publication	2013 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Life, I2MTC 2013 - Proceedings
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	16-21
Number of pages	6
ISBN (Print)	9781467346221
DOIs	https://doi.org/10.1109/I2MTC.2013.6555372
Publication status	Published - 2013
Externally published	Yes
Event	2013 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Life, I2MTC 2013 - Minneapolis, MN, United States Duration: 6 May 2013 → 9 May 2013

Other

Other	2013 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Life, I2MTC 2013
Country/Territory	United States
City	Minneapolis, MN
Period	6/05/13 → 9/05/13

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10.1109/I2MTC.2013.6555372

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Suryadevara, N. K., Mukhopadhyay, S. C., Wang, R., Rayudu, R. K., & Huang, Y. M. (2013). Reliable measurement of Wireless Sensor Network data for forecasting wellness of elderly at smart home. In 2013 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Life, I2MTC 2013 - Proceedings (pp. 16-21). [6555372] Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/I2MTC.2013.6555372

Suryadevara, N. K. ; Mukhopadhyay, S. C. ; Wang, R. ; Rayudu, R. K. ; Huang, Y. M. / Reliable measurement of Wireless Sensor Network data for forecasting wellness of elderly at smart home. 2013 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Life, I2MTC 2013 - Proceedings. Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE), 2013. pp. 16-21

@inproceedings{76e0360ead8b44f7bf66b43b0c8f2b05,

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.",

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",

pages = "16--21",

booktitle = "2013 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Life, I2MTC 2013 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

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",

}

Suryadevara, NK, Mukhopadhyay, SC, Wang, R, Rayudu, RK & Huang, YM 2013, Reliable measurement of Wireless Sensor Network data for forecasting wellness of elderly at smart home. in 2013 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Life, I2MTC 2013 - Proceedings., 6555372, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 16-21, 2013 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Life, I2MTC 2013, Minneapolis, MN, United States, 6/05/13. https://doi.org/10.1109/I2MTC.2013.6555372

Reliable measurement of Wireless Sensor Network data for forecasting wellness of elderly at smart home. / Suryadevara, N. K.; Mukhopadhyay, S. C.; Wang, R.; Rayudu, R. K.; Huang, Y. M.

2013 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Life, I2MTC 2013 - Proceedings. Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE), 2013. p. 16-21 6555372.

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

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Suryadevara NK, Mukhopadhyay SC, Wang R, Rayudu RK, Huang YM. Reliable measurement of Wireless Sensor Network data for forecasting wellness of elderly at smart home. In 2013 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Life, I2MTC 2013 - Proceedings. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). 2013. p. 16-21. 6555372 https://doi.org/10.1109/I2MTC.2013.6555372

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

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