Sofien Gannouni

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Over the last few decades, brain signals have been significantly exploited for brain-computer interface (BCI) applications. In this paper, we study the extraction of features using event-related desynchronization/synchronization techniques to improve the classification accuracy for three-class motor imagery (MI) BCI. The classification approach is based on(More)
Integrating and accessing data stored in autonomous, distributed and heterogeneous data sources have been recognized as of a great importance to small and huge-scale businesses. Enhancing the accessibility and the reusability of these data entail the development of new approaches for data sharing. These approaches should satisfy a minimal set of criteria in(More)
The Internet or distributed computing has evolved from a simple file sharing mechanism to data source sharing and dynamic services. This evolution has made data source sharing an urgent necessity at the present time. Therefore, we should benefit from distributed data sources that are spread across a network and address current data sharing challenges, which(More)
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