International audienc

SMARTMUSEUM solution described in the paper is combining mobile Internet, geopositioning and NFC/RFID technologies with ontology driven content selection and user profiling to simplify on-site content access and offer personalized, context driven cultural experiences for visitors of museums and other interest sites.

No abstract

and Hassani.Messaoud@enim.rnu.tn. Abstract:Recognizing the activities of daily living plays an important role in healthcare. It is necessary to use an adapted model to simulate the human behavior in a domestic space to monitor the patient harmonically and to intervene in the necessary time. In this paper, we tackle this problem using the hierarchical hidden Markov model for representing and recognizing complex indoor activities. We propose a new grammar, called "Home By Room Activities Language", to facilitate the complexity of human scenarios and consider the abnormal activities.

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.