Multi-Domain Feature Fusion for Emotion Classification Using DEAP Dataset

Multi-Domain Feature Fusion for Emotion Classification Using DEAP Dataset

Emotion recognition in real-time using electroencephalography (EEG) signals play a key role in human-computer interaction and affective computing. The existing emotion recognition models, that use stimuli such as music and pictures in controlled lab settings and limited number of emotion classes, ha...

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Bibliographic Details
Main Authors: Muhammad Khateeb, Syed Muhammad Anwar, Majdi Alnowami
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Affective computing
electroencephalography
emotions classifications
features extraction
machine learning
Online Access:https://ieeexplore.ieee.org/document/9321314/

Internet

https://ieeexplore.ieee.org/document/9321314/

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