Objective. Brain-controlled robotic arms have shown broad application prospects with the
development of robotics, science and information decoding. However, disadvantages, such …

Objective. Steady-state visual evoked potential (SSVEP) is an essential paradigm of
electroencephalogram based brain–computer interface (BCI). Previous studies in the BCI …

Objective. Steady-state visual evoked potentials (SSVEPs) based brain–computer interface
(BCI) has received great interests owing to the high information transfer rate and available …

The practical functionality of a brain-computer interface (BCI) is critically affected by the
number of stimuli, especially for steady-state visual evoked potential based BCI (SSVEP …

Objective. The steady-state visual evoked potential (SSVEP)-based brain–computer
interface has received extensive attention in research due to its simple system, less training …

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

People with severe physical disabilities are not able of using standard robotic wheelchairs,
which generally demand some motor skills, and therefore total usage of associate muscles …

Objective. This study aims to establish a generalized transfer-learning framework for
boosting the performance of steady-state visual evoked potential (SSVEP)-based brain …

Objective: Currently, ensemble task-related component analysis (eTRCA) and task
discriminative component analysis (TDCA) are the state-of-the-art algorithms for steady-state …

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 …