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Real Prediction of Elder People Abnormal Situations at Home

  • Aitor Moreno-Fernandez-de-LecetaEmail author
  • Jose Manuel Lopez-Guede
  • Manuel Graña
  • Juan Carlos Cantera
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 527)

Abstract

This paper presents a real solution for detecting abnormal situations at home environments, mainly oriented to living alone and elderly people. The aim of the work described in this paper is, first, to reduce the raw data about the situation of the elder at home, tracking only the relevant signals, and second, to predict the regular situation of the person at home, checking if its situation is normal or abnormal. The challenge in this work is to transform the real word complexity of the user patterns using only “lazy” sensor data (position sensors) in a real scenario over several homes. We impose two restrictions to the system (lack of “a priori” information about the behavior of the elderly and the absence of historic database) because the aim of this system is to build an automatic environment and study the minimal historical data to achieve an accurate predictive model, in order to generate a commercial produtc working fully few weeks after the installation.

Notes

Acknowledgments

The research was supported by the REAAL project (CIP ICT PSP – 2012 - 325189).

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© Springer International Publishing AG 2017

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Authors and Affiliations

  • Aitor Moreno-Fernandez-de-Leceta
    • 1
    Email author
  • Jose Manuel Lopez-Guede
    • 2
  • Manuel Graña
    • 3
  • Juan Carlos Cantera
    • 1
  1. 1.Sistemas Inteligentes de Control y Gestión Parque Tecnológico de Álava Leonardo Da VinciInstituto Ibermática de InnovaciónMiñanoSpain
  2. 2.Department of Systems Engineering and Automatic Control, University College of Engineering of VitoriaBasque Country University (UPV/EHU)VitoriaSpain
  3. 3.Faculty of Informatics, Department of Computer Science and Artificial IntelligenceBasque Country Univesrsity (UPV/EHU)San SebastianSpain

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