Design of subject independent 3D VAD emotion detection system using EEG signals and machine learning algorithms

•Use of EEG signals to facilitate the design of an emotionally efficient human–computer interface system.•Three subject-independent emotion detection systems: EDS1, EDS2, and EDS3, are designed.•Wavelet-based on Atomic Functions feature extraction technique is used to investigate the EEG signals.•Th...

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Bibliographic Details
Published in:	Biomedical signal processing and control Vol. 85; p. 104894
Main Authors:	Nandini, Durgesh, Yadav, Jyoti, Rani, Asha, Singh, Vijander
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.08.2023
Subjects:	Affective-computing DEAP Database Discrete-Emotions EEG OPTUNA Hyper-parameter optimization Subject-Independent Valence-Arousal-Dominance Wavelet-based on Atomic-Functions Subject-Independent Wavelet-based on Atomic-Functions EEG OPTUNA Hyper-parameter optimization Affective-computing Discrete-Emotions Valence-Arousal-Dominance DEAP Database
ISSN:	1746-8094
Online Access:	Get full text
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