2021/10/01 · In this paper, we describe the common steps of an emotion recognition algorithm based on EEG from data acquisition, preprocessing, feature extraction, feature ...

2021/03/29 · Detecting emotion using EEG signals involves multiple steps being performed in sequence to satisfy the requirements of a brain–computer ...

Abstract—In this study we explore the application of pattern recognition models for recognizing emotional reactions elicited by.

2021/05/07 · Several kinds of emotion states were elicited with videos and EEG signals from fourteen channels were acquired. Experimental results from six ...

2024/01/03 · This article explores the complex aspects of emotion research using EEG. It critically examines the claims of high accuracy in the field and discusses the ...

EEG signals have proven to achieve higher classification accuracy for emotion recognition under laboratory conditions [24], and have come along as a useful tool ...

Additionally, EEG is non-invasive, fast, and inexpensive, making it a more common method for studying the brain's responses to emotional stimuli [5]. Various ...

2024/05/30 · Emotion recognition technology through EEG signal analysis is currently a fundamental concept in artificial intelligence.

2024/10/03 · We provide a novel EEG dataset containing the emotional information induced during a realistic human-computer interaction (HCI) using a voice user interface ...

2024/08/07 · This paper provides a systematic review of EEG-based emotion recognition methods, in terms of feature extraction, time domain, frequency domain, ...