Wireless sensors network based safe home to care elderly people

behaviour detection

N. K. Suryadevara*, A. Gaddam, R. K. Rayudu, S. C. Mukhopadhyay

*Corresponding author for this work

Research output: Contribution to journalConference paper

22 Citations (Scopus)
17 Downloads (Pure)

Abstract

The age span of elder people is increasing and this trend may continue in near future. Elder people wish to stay as independently as possible and are keen on fulfilling lives, but self-regulating ways of life involve with risks, such as weakening, memory loss or impaired judgment and falling that limit mobility. In particular, the daily home activity involving basic functions like preparing breakfast or food, showering, walking, sleeping, watching television, reading books etc., is a key indicator in determining the performance of elder home activity. A intelligent, robust, less cost, flexible and real time home monitoring system has been developed to record the basic home activities and respond immediately when there is a change in the regular daily activity of the elder person. This paper will report our recent works based on trial work of the system to determine the behaviour of elderly person activity.

Original languageEnglish
Pages (from-to)96-99
Number of pages4
JournalProcedia Engineering
Volume25
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event2011 Eurosensors XXV - Athens, Greece
Duration: 4 Sep 20117 Sep 2011
http://www.eurosensors2011.org/content_catid_3_lan_en.html

Bibliographical note

Copyright the Author(s) 2017. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

  • abnormality
  • behavior detection
  • emergency button
  • intelligent algorithm
  • smart home
  • wireless sensors network

Fingerprint Dive into the research topics of 'Wireless sensors network based safe home to care elderly people: behaviour detection'. Together they form a unique fingerprint.

Cite this