Brain-computer interface (BCI) is a rapidly evolving technology that has the potential to
widely influence research, clinical and recreational use. Non-invasive BCI approaches are …

Sensors are devices that output signals for sensing physical phenomena and are widely
used in all aspects of our social production activities. The continuous recording of physical …

Occupational safety has become a major issue in the construction industry over the years.
Studies have shown that work-related accidents are mostly caused by the unsafe behaviors …

Emotion recognition plays an important part in human-computer interaction (HCI). Currently,
the main challenge in electroencephalogram (EEG)-based emotion recognition is the non …

Regarding cognitive workload recognition (CWR), electroencephalography (EEG) signals
are nonstationary across time and vary from different subjects, thus hindering the cross …

The interpatient variability still poses a great challenge for the real-world application of
electroencephalogram (EEG)-based seizure prediction, where most previous methods could …

Most emotion recognition systems still present limited applicability to new users due to the
intersubject variability of electroencephalogram (EEG) signals. Although domain adaptation …

Preprocessing electroencephalographic (EEG) signals during computer-mediated Cognitive
Load tasks is crucial in Human-Computer Interaction (HCI). This process significantly …

The matching of cognitive load and working memory is the key for effective learning, and
cognitive effort in the learning process has nervous responses which can be quantified in …

Deep learning based electroencephalography (EEG) signal processing methods are known
to suffer from poor test-time generalization due to the changes in data distribution. This …