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A Genetic Neural Network Approach for Unusual Behavior Prediction in Smart Home
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.
Cited literature [17 references]
https://hal.inria.fr/hal-01462993
Contributor : Tayeb Lemlouma Connect in order to contact the contributor
Submitted on : Thursday, February 9, 2017 - 12:05:49 PM
Last modification on : Tuesday, February 15, 2022 - 3:09:51 AM
Long-term archiving on: : Wednesday, May 10, 2017 - 1:16:37 PM
Contributor : Tayeb Lemlouma Connect in order to contact the contributor
Submitted on : Thursday, February 9, 2017 - 12:05:49 PM
Last modification on : Tuesday, February 15, 2022 - 3:09:51 AM
Long-term archiving on: : Wednesday, May 10, 2017 - 1:16:37 PM
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