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 proceedingConference proceeding contribution

25 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 languageEnglish
Title of host publication2013 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Life, I2MTC 2013 - Proceedings
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages16-21
Number of pages6
ISBN (Print)9781467346221
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Life, I2MTC 2013 - Minneapolis, MN, United States
Duration: 6 May 20139 May 2013

Other

Other2013 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Life, I2MTC 2013
CountryUnited States
CityMinneapolis, MN
Period6/05/139/05/13

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