Abstract
Unexpected falls and/or heart attacks at home are one of the main accidents the elderly face nowadays. This work focuses on elderly people which yet are independent and live alone in their own house. In such cases, the mentioned accidents may prevent her to ask for help as it is possible that she may lose conscience or stay paralyzed at the floor. In this paper, it is shown how a rule based classifier, designed by using simple a priori knowledge, which incorporates elderly’s context information and simple adaptive mechanisms for this information, may be used to detect domestic accidents as quickly as possible.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Alwan, M., Dalal, S., Seifrafi, R., Kell, S., Brown, D.: A rule-based approach to the analysis of elders activity data. Technical report, Medical Automation Research Center (2007)
Jansen, B., Deklerck, R.: Context aware inactivity recognition for visual fall detection. In: Pervasive Health Conference and Workshops (2006)
LeBellego, N., Noury, G.V., Mousseau, M., Demongeot, J.: A model for the measurement of patient activity in a hospital suite. IEEE Transactions on Information Technology in Biomedicine 10(1), 92–99 (2006)
Liao, L., Patterson, D.J., Fox, D., Kautz, H.: Learning and inferring transportation routines. Artificial Intelligence 5(6), 311–331 (2007)
Mitchell, T.M.: Machine Learning. McGraw-Hill, New York (1997)
Quinlan, J.R.: C4.5: Programs For Machine Learning. The Morgan Kaufmann series in Machine Learning. Morgan-Kauffman, San Mateo (1993)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Botia, J.A., Villa, A., Palma, J.T., Pérez, D., Iborra, E. (2009). Detecting Domestic Problems of Elderly People: Simple and Unobstrusive Sensors to Generate the Context of the Attended. In: Omatu, S., et al. Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living. IWANN 2009. Lecture Notes in Computer Science, vol 5518. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02481-8_124
Download citation
DOI: https://doi.org/10.1007/978-3-642-02481-8_124
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02480-1
Online ISBN: 978-3-642-02481-8
eBook Packages: Computer ScienceComputer Science (R0)