This survey describes recent progress in the field of Affective Computing (AC), with a focus
on affect detection. Although many AC researchers have traditionally attempted to remain …

In this paper, we investigate stable patterns of electroencephalogram (EEG) over time for
emotion recognition using a machine learning approach. Up to now, various findings of …

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 recognition is the task of recognizing a person's emotional state. EEG, as a
physiological signal, can provide more detailed and complex information for emotion …

This paper aims at providing a new feature extraction method for a user-independent
emotion recognition system, namely, HAF-HOC, from electroencephalograms (EEGs). A …

This paper aims at providing a novel method for evaluating the emotion elicitation
procedures in an electroencephalogram (EEG)-based emotion recognition setup. By …

For future healthcare applications, which are increasingly moving towards out-of-hospital or
home-based caring models, the ability to remotely and continuously monitor patients' …

In this paper, we describe our investigation of traces of naturally occurring emotions in
electrical brain signals, that can be used to build interfaces that respond to our emotional …

Emotion recognition is a challenging problem in Brain‐Computer Interaction (BCI).
Electroencephalogram (EEG) gives unique information about brain activities that are created …

Emotion recognition plays an important role in the field of human‐computer interaction
(HCI). Automatic emotion recognition based on EEG is an important topic in brain‐computer …