Electroencephalography (EEG) is a non-invasive technique used to record the brain's
evoked and induced electrical activity from the scalp. Artificial intelligence, particularly …

Emotion recognition is the process to detect, evaluate, interpret, and respond to people's
emotional states and emotions, ranging from happiness to fear to humiliation. The COVID-19 …

Inspired by the well-known Papez circuit theory and neuroscience knowledge of
reinforcement learning, a double dueling deep network (DQN) is built incorporating the …

Many scientific studies have been concerned with building an automatic system to recognize
emotions, and building such systems usually relies on brain signals. These studies have …

The electrocardiogram (ECG), electroencephalogram (EEG), and electromyogram (EMG)
are all very useful diagnostic techniques. The widespread availability of mobile devices plus …

As the most direct way to measure the true emotional states of humans, EEG-based emotion
recognition has been widely used in affective computing applications. In this paper, we aim …

Emotion recognition from EEG signals is a major field of research in cognitive computing.
The major challenges involved in the task are extracting meaningful features from the …

The emotional state of people plays a key role in physiological and behavioral human
interaction. Emotional state analysis entails many fields such as neuroscience, cognitive …

In face-to-face and online learning, emotions and emotional intelligence have an influence
and play an essential role. Learners' emotions are crucial for e-learning system because …

The graph convolutional network (GCN) shows effective performance in
electroencephalogram (EEG) emotion recognition owing to the ability to capture brain …