Aims To explore the research hot topics and main contents in the field of the influence of
mental fatigue on athletic performance, and to provide new ideas and directions for future …

Background Fatigue is a serious challenge when applying a steady-state visual evoked
potential (SSVEP)-based brain-computer interfaces (BCIs) in the real world. Many …

Brain-computer interfaces (BCIs) provide humans a new communication channel by
encoding and decoding brain activities. Steady-state visual evoked potential (SSVEP) …

Among various types of brain computer interfaces (BCIs), steady state visually evoked
potential (SSVEP) based BCIs can provide high information transfer rate (ITR), however the …

Visual discomfort assessment in stereoscopic three-dimensional (3-D)
electroencephalography (EEG) data is challenging. The SOTA research applies deep neural …

Abstract Objective While various Steady State Visual Evoked Potential Brain-Computer
Interfaces (SSVEP BCI) with very high performance have already been developed, eye …

With the development of brain-computer interface industry, large amounts of related
applications have entered people's vision. BCI applications based on steady-state visual …

Fatigue deteriorates the performance of a brain-computer interface (BCI) system; thus,
reliable detection of fatigue is the first step to counter this problem. The fatigue evaluated by …

Abstract The Transformer deep model (Transformer) has been applied to explore temporal
dependencies between electroencephalography (EEG) data or electrode-based spatial …

Since electroencephalogram (EEG) signals can directly provide information on changes in
brain activity due to behaviour changes, how to assess visual discomfort through EEG …