Emotion recognition is the ability to precisely infer human emotions from numerous sources
and modalities using questionnaires, physical signals, and physiological signals. Recently …

This paper investigates the feasibility of using time–frequency (TF) representation of EEG
signals for emotional state recognition. A recent and advanced TF analyzing method …

The goal of this paper was to develop a novel method to track emotional processing in
different brain regions using electroencephalogram (EEG) analysis. In addition, the role of …

Currently, a fundamental role of emotion recognition is apparent in both medical and non-
medical applications. The current work envisioned providing novel procedures to …

Given the importance and abundant use of emotional recognition in the human–computer
interfaces and multimedia applications, several methods for designing such systems have …

The application of EEG-based emotional states is one of the most vital phases in the context
of neural response decoding. Emotional response mostly appears in the presence of visual …

The study addresses the issue of monotonous and lengthy corridors with a single spatial
form commonly found in Chinese elderly facilities. We aim to assess the influence of the built …

One of the main reasons for fatal accidents on the road is distracted driving. The continuous
attention of an individual driver is a necessity for the task of driving. While driving, certain …

Recently, developing an accurate automatic emotion recognition system using a minimum
number of bio-signals has become a challenging issue in “affective computing.” This study …

Purpose Nowadays, the increasing demand for human–computer interface applications
shows the social need to provide an accurate, intelligent emotion recognition system …