Ricerc@Sapienza

A Brain–Computer Interface (BCI) uses measurements of the voluntary brain activity for driving a communication system; it requires the activation of mental tasks. In the last few years, a new paradigm of activation has been used, consisting in the autonomous brain activation through self-induced emotions, remembered on autobiographical basis. In the present paper, such paradigm is implemented and the resulting BCI system is described, from the classification strategy to the graphic user interface necessary for synchronising mental tasks and collecting EEG signals derived by emotions.

A dam-break flood model based on a contravariant integral form of the shallow water equations is presented. The numerical integration of the equations of motion is carried out by means of a finite volumefinite difference numerical scheme that involves an exact Riemann solver and which is based on a high-order WENO reconstruction procedure. An original scheme for the simulation of the wet front progress on the dry bed is adopted. The proposed model capacity to correctly simulate the wet front progress velocity is tested by numerically reproducing the dry bed dam-break problem.