P300 is an electric signal emitted by brain about 300 milliseconds after a rare, but relevant-for-the-user event. Even if it is hard to identify and it provides a low-rate communication channel, it raises the interest of the scientific community because it can be used in cases in which other evoked potentials fail. One of the applications of this signal is a speller that enables subjects who lo...

A Brain-Computer Interface (BCI) is an interface that enables the direct communication between human and machines by analyzing brain measurements. A P300 speller is based on the oddball paradigm, which generates event-related potential (ERP), like the P300 wave, on targets selected by the user. The detection of these P300 waves allows selecting visually characters on the screen. We present a ne...

Brain-computer interfaces (BCI) are communication system that use brain activities to control a device. The BCI studied is based on the P300 speller [1]. A new algorithm to select relevant sensors is proposed: it is based on a previous proposed algorithm [2] used to enhance P300 potentials by spatial filters. Data recorded on three subjects were used to evaluate the proposed selection method: i...

The P300 speller is an example of a brain-computer interface that can restore functionality to victims of neuromuscular disorders. Although the most common application of this system has been communicating language, the properties and constraints of the linguistic domain have not to date been exploited when decoding brain signals that pertain to language. We hypothesized that combining the stan...

A brain-computer interface (BCI) is a device that enables severely disabled people to communicate and interact with their environments using their brain waves. Most research investigating BCI in humans has used scalp-recorded electroencephalography or intracranial electrocorticography. The use of brain signals obtained directly from stereotactic depth electrodes to control a BCI has not previou...

Brain-Computer Interface (BCI) exploits the ability of human communication and control bypassing the classical neuromuscular communication channels. The BCI system described in this work is P300 speller. Two different paradigms of the P300 speller were proposed for higher accuracy: (i) the Single display (SD) paradigm that flashes each character individually in one stage and (ii) the Region-bas...

Motivated by P300 spelling scenarios involving communication based on a limited vocabulary, we propose a probabilistic graphical model-based framework and an associated classification algorithm that uses learned statistical prior models of language at the level of words. Exploiting such high-level contextual information helps reduce the error rate of the speller. The proposed approach models al...