Dorothy Monekosso
Detecting activities for assisted living
Monekosso, Dorothy; Remagnino, Paolo
Authors
Paolo Remagnino
Abstract
The objective is to detect activities taking place in a home for the purpose of creating models of behavior for the occupant. An array of sensors captures the status of appliances used in the home. Models for the occupant’s activities are built from the captured data using unsupervised learning techniques. Predictive models can be used in a number of ways: to enhance user experience, to maximize resource usage efficiency, for safety and for security. This work focuses on supporting independent living and enhancing quality of life for older persons. The goal is for the system to distinguish between normal and anomalous behavior. In this paper, we present the results of unsupervised classification techniques applied to the problem of modeling activity.
Citation
Monekosso, D., & Remagnino, P. (2008). Detecting activities for assisted living. Communications in Computer and Information Science, 11, 228-237. https://doi.org/10.1007/978-3-540-85379-4_28
Journal Article Type | Conference Paper |
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Conference Name | Ambient Assisted Living Systems |
Conference Location | Technische Universität Darmstadt, Germany |
Publication Date | Aug 17, 2008 |
Journal | Communications in Computer and Information Science |
Print ISSN | 1865-0929 |
Electronic ISSN | 1865-0937 |
Publisher | Springer Verlag (Germany) |
Peer Reviewed | Not Peer Reviewed |
Volume | 11 |
Pages | 228-237 |
ISBN | 9783540853787 |
DOI | https://doi.org/10.1007/978-3-540-85379-4_28 |
Keywords | activities, assisted living |
Public URL | https://uwe-repository.worktribe.com/output/1010171 |
Additional Information | Title of Conference or Conference Proceedings : Ambient Assisted Living Systems |