In recent years, a large proportion of traffic accidents are caused by driver fatigue. The brain
has been conceived as a complex network, whose function can be assessed with EEG …

Previously, gender-specific affective responses have been shown using neurophysiological
signals. The present study intended to compare the differences in electroencephalographic …

Classifying different object categories is one of the most important aims of brain–computer
interface researches. Recently, interactions between brain regions were studied using …

We introduce a cognitive brain–computer interface based on a continuous performance task
for the monitoring of variations of visual sustained attention, ie the self-directed maintenance …

A large number of traffic accidents due to driver drowsiness have been under more attention
of many countries. The organization of the functional brain network is associated with …

Individuals with visual inefficiencies or different abilities face difficulties using their hands to
operate smartphones and computers, necessitating reliance on others to enter data. Such …

The semantic similarity calculation task of English text has important influence on other fields
of natural language processing and has high research value and application prospect. At …

In a motor brain-machine interface system, since the electroencephalogram signal is
changing through out the process of the arm movement, the offline trained decoder with …

We developed a brain–computer interface (BCI) able to continuously monitor working
memory (WM) load in real-time (considering the last 2.5 s of brain activity). The BCI is based …

Online education has become an important way of learning English at present, and English
vocabulary teaching can improve the efficiency of English vocabulary teaching through …