Evaluating If Children Can Use Simple Brain Computer Interfaces

Multiresolution analysis over simple graphs for brain computer interfaces.

OBJECTIVE Multiresolution analysis (MRA) offers a useful framework for signal analysis in the temporal and spectral domains, although commonly employed MRA methods may not be the best approach for brain computer interface (BCI) applications. This study aims to develop a new MRA system for extracting tempo-spatial-spectral features for BCI applications based on wavelet lifting over graphs. APP...

Can Electrocorticography (ECoG) Support Robust and Powerful Brain–Computer Interfaces?

Brain–computer interfaces (BCIs) use brain signals to communicate a user's intent (Wolpaw et al., 2002). Because these systems directly translate brain activity into action, without depending on peripheral nerves and muscles, they can be used by people with severe motor disabilities. Successful translation of BCI technology from the many recent laboratory demonstrations into widespread and valu...

Metabolic Brain-Computer Interfaces

Multimodal Brain-Computer Interfaces

A critical parameter of brain-computer interfaces (BCIs) is the number of dimensions a user can control independently. One way to increment this number without increasing the mental effort required to operate the system is to stimulate several sensory modalities simultaneously, and to distinguish brain activity patterns when the user focuses attention to different elements of this multisensory ...

Brain-computer interfaces.

Brain-computer interfaces (BCIs) are systems that give their users communication and control capabilities that do not depend on muscles. The user's intentions are determined from activity recorded by electrodes on the scalp, on the cortical surface, or within the brain. BCIs can enable people who are paralyzed by amyotrophic lateral sclerosis (ALS), brainstem stroke, or other disorders to conve...