Abstract
Detect efficiently the activities of daily living of elderly people at home in order to provide a secure life and to intervene in the necessary time is an important problem we propose here an improved artificial neural network model. As we need an efficient prediction model, we propose a recurrent output neural network model (RO-NN) combined with a genetic algorithm (GA) which surely monitors and predicts the state of the concerned elderly person. Furthermore, we propose a prediction algorithm “Unusual Behavior Algorithm (UBA)” dedicated to detect the unusual activities and hold us account in the dangerous state.
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Acknowledgments
The authors would like to thank all teams of the project “e-health monitoring open data project”.
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Liouane, Z., Lemlouma, T., Roose, P., Weis, F., Messaoud, H. (2017). A Genetic Neural Network Approach for Unusual Behavior Prediction in Smart Home. In: Madureira, A., Abraham, A., Gamboa, D., Novais, P. (eds) Intelligent Systems Design and Applications. ISDA 2016. Advances in Intelligent Systems and Computing, vol 557. Springer, Cham. https://doi.org/10.1007/978-3-319-53480-0_73
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DOI: https://doi.org/10.1007/978-3-319-53480-0_73
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