Leveraging EEG and Signal-to-Noise Ratio augmentation for advanced stress detection

Student stress has emerged as a significant concern, requiring prompt identification to avoid serious repercussions. Unlike conventional EEG stress detection approaches that rely on feature extraction, our work introduces a novel combination of SNR-based augmentation with ShallowConvNet recognised f...

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Bibliographic Details

Main Authors:	Silabdi, Hana, Hassan, Raini, Faizabadi, Ahmed Rimaz, Gubbi, Abdullah, Bellary, Mohammed Zakir, M, Afsar Baig
Format:	Proceeding Paper
Language:	en en
Published:	IEEE 2025
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/121868/7/121868_%20Leveraging%20EEG%20and%20Signal-to-Noise.pdf http://irep.iium.edu.my/121868/13/121868_Leveraging%20EEG%20and%20Signal-to-Noise_Scopus.pdf http://irep.iium.edu.my/121868/ https://ieeexplore.ieee.org/document/11035392 https://doi.org/10.1109/ICDCECE65353.2025.11035392
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