The blending of human and mechanical capabilities has become a reality in the realm of
Industry 4.0. Enterprises are encouraged to design frameworks capable of harnessing the …

The steady-state visual evoked potential (SSVEP), measured by the electroencephalograph
(EEG), has high rates of information transfer and signal-to-noise ratio, and has been used to …

While recent developments in electroencephalogram (EEG)-based brain-computer
interfaces (BCIs) have enabled a bridge between the brain and external devices with …

This work addresses the adoption of Machine Learning classifiers and Convolutional Neural
Networks to improve the performance of highly wearable, single-channel instrumentation for …

The brain–computer interface (BCI), which provides a new way for humans to directly
communicate with robots without the involvement of the peripheral nervous system, has …

Objective: The steady-state visual evoked potential based brain-computer interface (SSVEP-
BCI) implemented in dry electrodes is a promising paradigm for alternative and …

Objective. A novel flexible hydrogel electrode with a strong moisturizing ability was prepared
for long-term electroencephalography (EEG) monitoring. Approach. The hydrogel was …

Steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) have
been substantially studied in recent years due to their fast communication rate and high …

The need for repeated calibration and accounting for intersubject variability is a major
challenge for the practical applications of a brain–computer interface (BCI). The problem …

In steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs),
various spatial filtering methods based on individual calibration data have been proposed to …