Emotion recognition based on electroencephalography (EEG) signal features is now one of
the booming big data research areas. As the number of commercial EEG devices in the …

The classroom is the primary site for learning. A vital feature of classroom learning is the
division of educational content into various disciplines. While disciplinary differences could …

The brain-computer interface (BCI) interprets the physiological information of the human
brain in the process of consciousness activity. It builds a direct information transmission …

EEG-based hyperscanning technology has been increasingly applied to analyze
interpersonal interactions in social neuroscience in recent years. However, different …

In order to improve the classification accuracy and reliability of emotional state assessment
and provide support and help for music therapy, this paper proposes an EEG analysis …

Ocular artifact, namely eye-blink artifact, is an inevitable and one of the most destructive
noises of EEG signals. Many solutions of detecting the eye-blink artifact were proposed …

Electroencephalogram (EEG)-based emotion recognition (ER) has drawn increasing
attention in the brain–computer interface (BCI) due to its great potentials in human–machine …

Robust classification of electroencephalogram data for motor imagery recognition is of
paramount importance in brain–computer interface (BCI) domain. Since EEG signals are …

Electroencephalogram (EEG)-based brain-computer interfaces (BCIs) can potentially enable
people to non-invasively and directly communicate with others using brain activities. Artifacts …

Brain computer interface (BCI) requires an online and real‐time processing of EEG signals.
Hence, the accuracy of the recording system is improved by nullifying the developed …