Affective computing, a subcategory of artificial intelligence, detects, processes, interprets,
and mimics human emotions. Thanks to the continued advancement of portable non …

Recent developments and studies in brain-computer interface (BCI) technologies have
facilitated emotion detection and classification. Many BCI studies have sought to investigate …

EEG-based automatic emotion recognition can help brain-inspired robots in improving their
interactions with humans. This paper presents a novel framework for emotion recognition …

This paper introduces a method for feature extraction and emotion recognition based on
empirical mode decomposition (EMD). By using EMD, EEG signals are decomposed into …

The purpose of this research is to develop an EEG-based emotion recognition system for
identification of three emotions: positive, neutral and negative. Up to now, various modeling …

Emotion is interpreted as a psycho-physiological process, and it is associated with
personality, behavior, motivation, and character of a person. The objective of affective …

A novel method of using the spiking neural networks (SNNs) and the electroencephalograph
(EEG) processing techniques to recognize emotion states is proposed in this paper. Three …

Background: In the past decade, marketing studies have greatly benefited from the adoption
of neuroscience techniques to explore conscious and unconscious drivers of consumer …

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

In studies of emotions, music is usually used to induce the emotions that are measured on
the arousal-valence/arousal-valence-dominance scales. However, the influence of music …