By Topic

Interpreting presence sensor data and looking for similarities between homes using cluster analysis

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
John Loane ; CASALA, Dundalk Institute of Technology, Dundalk, Ireland ; Brian O'Mullane ; Brennon Bortz ; R. Benjamin Knapp

In order to model older people's behaviour in the home we must first understand it. In this paper we examine data from eight purpose-built aware homes over a six-month period, looking at presence in rooms to try to determine patterns amongst the older residents. We look for homes that have similar movement patterns using cluster analysis. We also examine how movement over days clusters within individual homes. Our analysis begins to show the possibilities of distinguishing between residents in their homes based on patterns of movement.

Published in:

2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops

Date of Conference:

23-26 May 2011