EEG signal analysis for brain-computer interfaces for large public applications

We advocate a design methodology including high level specifications using the modularity and reusability features of the S IGNAL programming; formal verification and per-

Here, E stands for the electrical field, H for the magnetic field, B for the magnetic flux density, J for the current flux density (or eddy current) and D for the displacement

Fabien Lotte, Harold Mouchère, Anatole Lécuyer. Pattern Rejection Strategies for the Design of Self- Paced EEG-based Brain-Computer Interfaces. International Conference on

Several classification al- gorithms have been used to design BCI, such as linear classifiers, Support Vector Machine (SVM) or neural networks [9].. Surprisingly, fuzzy classifiers

In order to simplify the process of converting numbers from the modular representation to the positional representation of numbers, we will consider an approximate method that allows

We now describe the components of the segmentation-driven recognition : the numeral classifier, the touching digit recognition method using a segmentation method, and the reject

As can be seen from this algorithm, when assessing the risk of loss of stability software infocommunication systems from destructive impacts it becomes necessary to determine

As future works it is planned to use programming languages for detecting anomalies in data pat- terns with statistical, mathematical and machine learning techniques which