Most brain-computer interfaces (BCI) are based on one of three types of electroencephalogram (EEG) signals: P300s, steady-state visually evoked potentials (SSVEP), and event-related desynchronization (ERD). EEG is typically recorded non-invasively using active or passive electrodes mounted on the human scalp. The common setup requires conductive electrode gel to get the best entrance impedance ...

The state of the art of Brain Computer Interfacing, though promising, is still far from what one would need for fast and reliable control of games and interfaces. A mature non-invasive systems is e.g. the discrete P300 visual speller, in which alternating rows and columns of a letter matrix flash and gaze and attention is directed by the user to a specific letter (Sellers & Donchin, 2006). The ...

Brain-Computer Interfaces (BCIs) ensure non-muscular communication between a user and external device by using brain activity. Currently, BCIs were applied in the medical field to increase quality of life of patients suffering from neuromuscular disorders. Most BCI systems use scalp recorded electroencephalographic activity, while Electrocorticography (ECoG) is a minimally-invasive alternative ...

The past 20 years have witnessed unprecedented progress in brain-computer interfaces (BCIs). However, low communication rates remain key obstacles to BCI-based communication in humans. This study presents an electroencephalogram-based BCI speller that can achieve information transfer rates (ITRs) up to 5.32 bits per second, the highest ITRs reported in BCI spellers using either noninvasive or i...

Brain-computer interfaces (BCIs) extract signals from neural activity to control remote devices ranging from computer cursors to limb-like robots. They show great potential to help patients with severe motor deficits perform everyday tasks without the constant assistance of caregivers. Understanding the neural mechanisms by which subjects use BCI systems could lead to improved designs and provi...

Brain Computer Interfaces (BCI) represent a new communication option for those suffering from neuromuscular impairment that prevents them from using conventional augmented communication methods. This new approach has been developing quickly during the last few years, thanks to the increasing of computational power and the new algorithms for signal processing (Independent Component Analysis, Wav...

Brain-computer interfaces (BCIs) could provide important new communication and control options for people with severe motor disabilities. Most BCI research to date has been based on 4 assumptions that: (a) intended actions are fully represented in the cerebral cortex; (b) neuronal action potentials can provide the best picture of an intended action; (c) the best BCI is one that records action p...

Brain-Computer Interfaces (BCIs) allow users to control applications by brain activity. Among their possible applications for non-disabled people, games are promising candidates. BCIs can enrich game play by the mental and affective state information they contain. During the eNTERFACE’09 workshop we developed the Bacteria Hunt game which can be played by keyboard and BCI, using SSVEP and relati...

Electroencephalography (EEG) has been used to generate music for over 40 years, but the most recent developments in brain–computer interfaces (BCI) allow greater control and more flexible expression to use new musical instruments via EEG. We developed a real-time musical performance system using BCI technology and sonification techniques to generate chords with organically fluctuating timbre. W...

In recent years, brain-computer interface (BCI) technology has emerged very rapidly. Brain-computer interfaces (BCIs) bring us a new communication interface technology which can translate brain activities into control signals of devices like computers, robots. The preprocessing of electroencephalographic (EEG) signal and translation algorithms play an important role in EEG-based BCIs. In this s...