We consider an EEG-based, wireless braincomputer interface (BCI) with which subjects can “mind spell” text on a computer screen. The application is based on the detection of the P300 event-related potential (ERP). The frequency range for preprocessing the EEG recordings, and the location and length of the time interval after stimulus onset, are selected with respect to the classification accura...

abstract brian computer interface (bci) is a direct communication pathway between the brain and an external device. bcis are often aimed at assisting, augmenting or repairing human cognitive or sensory-motor functions. in this work a new algorithm is introduced to enhancing eeg signals that have been concerned the p300 problem. signal to noise ratio of eeg signals is very low and have  much art...

Subjects operating a brain-computer interface (BCI) based on sensorimotor rhythms exhibit large variations in performance over the course of an experimental session. Here, we show that high-frequency γ-oscillations, originating in fronto-parietal networks, predict such variations on a trial-to-trial basis. We interpret this finding as empirical support for an influence of attentional networks o...

A brain–computer interface (BCI) provides a direct connection between the brain and an external device, such as a computer or any other system capable of receiving a signal. In June 1999, the First International Meeting on Brain–Computer Interface Technology took place at the Rensselaerville Institute (Albany, NY). The aims of this first meeting, which 50 researchers from 22 different research ...

Introduction: Brain Computer Interface (BCI) systems based on Movement Imagination (MI) are widely used in recent decades. Separate feature extraction methods are employed in the MI data sets and classified in Virtual Reality (VR) environments for real-time applications. Methods: This study applied wide variety of features on the recorded data using Linear Discriminant Analysis (LDA) classifie...

Brain-computer interface-based communication plays an important role in brain-computer interface (BCI) applications; electronic mail is one of the most common communication tools. In this study, we propose a hybrid BCI-based mail client that implements electronic mail communication by means of real-time classification of multimodal features extracted from scalp electroencephalography (EEG). Wit...

Introduction: Maintaining means of communication is an extremely important issue in occupational therapy for patients with intractable neurological disease. A brain-computer interface (BCI) a device control technology utilizing physiological signals, and eagerly awaited application as aid severe motor dysfunction. As exploratory study the development BCI, we examined accuracy discriminating bra...