Automated emotion recognition (AEE) is an important issue in various fields of activities
which use human emotional reactions as a signal for marketing, technical equipment, or …

Affective, emotional, and physiological states (AFFECT) detection and recognition by
capturing human signals is a fast-growing area, which has been applied across numerous …

With the in-depth development of the market economy and the acceleration of the process of
urbanization, a large number of people have poured into the city, and a large number of …

In this paper, we propose a novel Electroencephalograph (EEG) emotion recognition
method inspired by neuroscience with respect to the brain response to different emotions …

Accurate recognition and understating of human emotions is an essential skill that can
improve the collaboration between humans and machines. In this vein …

With the development of the Internet of Battlefield Things (IoBT), soldiers have become key
nodes of information collection and resource control on the battlefield. It has become a trend …

EEG signals vary from human to human and hence it is very difficult to create a subject
independent emotion recognition system. Even though subject dependent methodologies …

Affective brain-computer interfaces are a relatively new area of research in affective
computing. Estimation of affective states can improve human-computer interaction as well as …

In order to solve the problem of traffic accidents caused by fatigue driving, the research of
EEG signals is particularly important, which can timely and accurately determine the fatigue …

In recent years, research of the human emotional state is becoming importance, especially
in its application for patient monitoring and in the treatment management system of that …