Over the past several decades, electroencephalogram (EEG)-based brain-computer
interfaces (BCIs) have attracted attention from researchers in the field of neuroscience …

Brain–computer interface (BCI) technology has been studied with the fundamental goal of
helping disabled people communicate with the outside world using brain signals. In …

The robust analysis of neural signals is a challenging problem. Here, we contribute a
convolutional neural network (CNN) for the robust classification of a steady-state visual …

Brain–computer interfaces (BCIs) based on event related potentials (ERPs) strive for offering
communication pathways which are independent of muscle activity. While most visual ERP …

Representing an intuitive spelling interface for brain–computer interfaces (BCI) in the
auditory domain is not straight-forward. In consequence, all existing approaches based on …

The present review systematically examines the literature reporting gaze independent
interaction modalities in non-invasive brain–computer interfaces (BCIs) for communication …

Brain-computer interfaces (BCIs) allow users to communicate directly with external devices
via their brain signals. Recently, BCIs, and wearable computers in particular, have been …

Brain-computer interfaces (BCIs) are devices that enable people to communicate via thought
alone. Brain signals can be directly translated into messages or commands. Until recently …

Brain-computer interfaces (BCIs) promise to provide a novel access channel for assistive
technologies, including augmentative and alternative communication (AAC) systems, to …

Objective. Current electroencephalogram (EEG) monitoring systems typically require
cumbersome electrodes that must be pasted on a scalp, making a private recording of an …