P300 brain computer interface: current challenges and emerging trends

P300 brain computer interface: current challenges and emerging trends

A brain-computer interface (BCI) enables communication without movement based on brain signals measured with electroencephalography (EEG). BCIs usually rely on one of three types of signals: the P300 and other components of the event-related potential (ERP), steady state visual evoked potential (SSVEP), or event related desynchronization (ERD). Although P300 BCIs were introduced over twenty yea...

Current Trends in Brain-Computer Interface (BCI) Research and Development

A Tactile P300 Brain-Computer Interface

In this study, we investigated a Brain-Computer Interface (BCI) based on EEG responses to vibro-tactile stimuli around the waist. P300 BCIs based on tactile stimuli have the advantage of not taxing the visual or auditory system and of being potentially unnoticeable to other people. A tactile BCI could be especially suitable for patients whose vision or eye movements are impaired. In Experiment ...

P300 Harmonies: A Brain-Computer Musical Interface

We present P300 harmonies: a P300-based Brain-Computer Musical Interface. Using a commercial low-cost EEG device, the user can voluntarily change the harmony of an arpeggio by focusing and mentally counting the occurrences of each note. The arpeggio consists of 6 notes separated by an interval of 175ms. The notes of the arpeggio are controlled through 6 switches, where each switch has two possi...

Changing the P300 Brain Computer Interface

Brain-computer interfaces (BCIs) are now feasible for use as an alternative control option for those with severe motor impairments. The P300 component of the evoked potential has proven useful as a control signal. Individuals do not need to be trained to produce the signal, and it is fairly stable and has a large evoked potential. Even with recent signal classification advances, on-line experim...