Electroencephalogram (EEG) signal analysis, which is widely used for human-computer
interaction and neurological disease diagnosis, requires a large amount of labeled data for …

Affecting computing is an artificial intelligence area of study that recognizes, interprets,
processes, and simulates human affects. The user's emotional states can be sensed through …

A brain–computer interface (BCI) enables a user to communicate with a computer directly
using brain signals. The most common noninvasive BCI modality, electroencephalogram …

EEG signals have been reported to be informative and reliable for emotion recognition in
recent years. However, the inter-subject variability of emotion-related EEG signals still poses …

Cognitive computing is dedicated to researching a computing principle and method that can
simulate the intelligence ability of human brain. Human emotion is the basic component of …

As an essential element for the diagnosis and rehabilitation of psychiatric disorders, the
electroencephalogram (EEG) based emotion recognition has achieved significant progress …

In recent years, with the rapid development of machine learning, automatic emotion
recognition based on electroencephalogram (EEG) signals has received increasing …

Human emotion recognition could greatly contribute to human–computer interaction with
promising applications in artificial intelligence. One of the challenges in recognition tasks is …

With the continuous development of portable noninvasive human sensor technologies such
as brain–computer interfaces (BCI), multimodal emotion recognition has attracted increasing …

The issue of electroencephalogram (EEG)-based emotion recognition has great academic
and practical significance. Currently, there are numerous research trying to address this …