MLAR-Net: A Multilevel Attention-Based ResNet Module for the Automated Recognition of Emotions Using Single-Channel EEG Signals

MLAR-Net: A Multilevel Attention-Based ResNet Module for the Automated Recognition of Emotions Using Single-Channel EEG Signals

Human emotion recognition is important as it finds applications in multiple domains such as medicine, entertainment, and military. However, accurately identifying emotions remains challenging due to humans’ ability to hide or suppress their emotional expressions. Hence it becomes importan...

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Bibliographic Details
Main Authors: M. Maithri, U. Raghavendra, Anjan Gudigar, Samir Kumar Praharaj, Karthikeyan Sriram, Massimo Salvi, Chai Hong Yeong, Filippo Molinari, U. Rajendra Acharya
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Emotion recognition
single-channel EEG
attention-based ResNet
spectrograms
explainable AI
Online Access:https://ieeexplore.ieee.org/document/11021444/
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