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

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

29 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
Subtitle of host publicationInstrumentation and Measurement for Life, I2MTC 2013 - Proceedings
Pages16-21
Number of pages6
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

Publication series

NameConference Record - IEEE Instrumentation and Measurement Technology Conference
ISSN (Print)1091-5281

Conference

Conference2013 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Life, I2MTC 2013
Country/TerritoryUnited States
CityMinneapolis, MN
Period6/05/139/05/13

Keywords

  • Smart Home
  • Time Series Analysis
  • Wellness
  • Wireless Sensor Networks

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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