Research Article
Interpreting Presence Sensor Data and Looking for Similarities Between Homes Using Cluster Analysis
@INPROCEEDINGS{10.4108/icst.pervasivehealth.2011.246114, author={John Loane and Brian O’Mullane and Brennon Bortz and Ben Knapp}, title={Interpreting Presence Sensor Data and Looking for Similarities Between Homes Using Cluster Analysis}, proceedings={Orange Alerts- Behaviour Modeling and Health of older people in their homes}, publisher={IEEE}, proceedings_a={AAL}, year={2012}, month={4}, keywords={AAL Pervasive Sensor Data Scatter Plot Cluster Analysis Silhouette Coefficent}, doi={10.4108/icst.pervasivehealth.2011.246114} }- John Loane
Brian O’Mullane
Brennon Bortz
Ben Knapp
Year: 2012
Interpreting Presence Sensor Data and Looking for Similarities Between Homes Using Cluster Analysis
AAL
IEEE
DOI: 10.4108/icst.pervasivehealth.2011.246114
Abstract
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.
Copyright © 2011–2024 ICST