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.
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© 2009 Springer-Verlag Berlin Heidelberg
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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
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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
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