Mohamed Ali Feki

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creates challenges with enormous technical, societal, economic , and political consequences. Consequently, a wide range of researchers from academia and industry, as well as businesses, government agencies, and cities, are exploring this exciting technology from three main perspectives: scientific theory, engineering design, and the user experience.(More)
In an assistive environment (AE), where dependant users are living together, predicting future user activity is a challenging task and in the same time useful to anticipate critical situation and provide on time assistance. The present paper analyzes prerequisites for user-centred prediction of future activities and presents an algorithm for autonomous(More)
This paper outlines an approach that we are taking for elder-care applications in the smart home, involving cognitive errors and their compensation. Our approach involves high level modeling of daily activities of the elderly by breaking down these activities into smaller units, which can then be automatically recognized at a low level by collections of(More)
During this last decade we have seen that the most suitable application of smart homes targeted independent living of people with disabilities and elderly people. We have seen the emergence of different smart homes prototype developed by several research projects in Europe, North America and Asia. This concept of smart home in a box, which is mainly(More)
In this paper we propose an efficient and incremental plan recognition method for cognitive assistance. We design our unique method based on graph matching and heuristic chaining rules in order to deal with interleaved and sequential activities. The finding of this research work is to be applied to predict abnormal behavior of the users, and optimize(More)
Context is considered by research community in pervasive computing, and particularly in context awareness, to be subject to the available environmental sensors to retrieve the suitable information to the user. For example, the users context is based on location information or even based on other deterministic information, such as time (morning, evening,(More)