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A Self-Organized Learning Model for Anomalies Detection: Application to Elderly People

Verstaevel, Nicolas and Georgé, Jean-Pierre and Bernon, Carole and Gleizes, Marie-Pierre A Self-Organized Learning Model for Anomalies Detection: Application to Elderly People. (2019) In: 12th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2018), 3 September 2018 - 7 September 2018 (Trento, Italy).

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Official URL: https://doi.org/10.1109/SASO.2018.00018

Abstract

In a context of a rapidly growing population of elderly people, this paper introduces a novel method for behavioural anomaly detection relying on a self-organized learning process. This method first models the Circadian Activity Rhythm of a set of sensors and compares it to a nominal profile to determine variations in patients' activities. The anomalies are detected by a multi-agent system as a linear relation of those variations, weighted by influence parameters. The problem of adaptation to a particular patient then becomes the problem of learning the adequate influence parameters. Those influence parameters are self-adjusted, using feedback provided at any time by the medical staff. This approach is evaluated on a synthetic environment and results show both the capacity to effectively learn influence parameters and the resilience of this system to parameter size. Details on the ongoing real-world experimentation are provided.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to IEEE editor. The definitive version is available at http://ieeexplore.ieee.org This papers appears in Proceedings of SASO 2018 Electronic ISSN: 1949-3681 Electronic ISBN: 978-1-5386-5172-8 The original PDF of the article can be found at: https://ieeexplore.ieee.org/document/8614281 Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
HAL Id:hal-02191803
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > University of Wollongong - UOW (AUSTRALIA)
Laboratory name:
Funders:
European Regional Development Fund - Région Occitanie (France) - Telemedicine Technologies (France) - Toulouse Gérontopôle - CHU de Toulouse (France) - Orange (France) - Telegrafik (France) - IMA Protect (France)
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Deposited On:18 Jun 2019 09:48

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