Emotion recognition technology through analyzing the EEG signal is currently an essential
concept in Artificial Intelligence and holds great potential in emotional health care, human …

Emotions are multifaceted phenomena that affect our behaviour, perception, and cognition.
Increasing evidence indicates that induction mechanisms play a crucial role in triggering …

The high temporal resolution and the asymmetric spatial activations are essential attributes
of electroencephalogram (EEG) underlying emotional processes in the brain. To learn the …

Detecting driver fatigue is critical for ensuring traffic safety. Electroencephalography (EEG) is
the golden standard for brain activity measurement and is considered a good indicator of …

Recently, emotion recognition technology based on electroencephalogram (EEG) signals is
widely used in areas such as human–computer interaction and disease diagnosis …

Electroencephalography (EEG)-based affective computing has a scarcity problem. As a
result, it is difficult to build effective, highly accurate and stable models using machine …

Electroencephalogram (EEG) is a crucial and widely utilized technique in neuroscience
research. In this paper, we introduce a novel graph neural network called the spatial …

Measurements of physiological parameters provide an objective, often non-intrusive, and (at
least semi-) automatic evaluation and utilization of user behavior. In addition, specific …

Neuropsychological studies suggest that co-operative activities among different brain
functional areas drive high-level cognitive processes. To learn the brain activities within and …

Object: Motor imagery (MI) is a mental process widely utilized as the experimental paradigm
for brain-computer interfaces (BCIs) across a broad range of basic science and clinical …