Assessment of the cognitive functions and state of clinical subjects is an important aspect of
e-health care delivery, and in the development of novel human-machine interfaces. A …

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

Automatic electroencephalogram (EEG) emotion recognition is a challenging component of
human–computer interaction (HCI). Inspired by the powerful feature learning ability of …

Exploration on emotions continues from past to present. Nowadays, with the rapid
advancement of intelligent technology, computer-aided emotion recognition using …

Currently, Fourier-based, wavelet-based, and Hilbert-based time–frequency techniques
have generated considerable interest in classification studies for emotion recognition in …

Affective brain-computer interface based on electroencephalography (EEG) is an important
branch in the field of affective computing. However, the individual differences in EEG …

The spatial auditory attention decoding (Sp-AAD) technology aims to determine the direction
of auditory attention in multi-talker scenarios via neural recordings. Despite the success of …

Emotion plays a significant role in human daily activities, and it can be effectively recognized
from EEG signals. However, individual variability limits the generalization of emotion …

Prototype-based methods in deep learning offer interpretable explanations for decisions by
comparing inputs to typical representatives in the data. This study explores the adaptation of …

Fatigue of miners is caused by intensive workloads, long working hours, and shift-work
schedules. It is one of the major factors increasing the risk of safety problems and work …