Machine learning approach for stress detection based on alpha-beta and theta-beta ratios of EEG signals
The contribution to stress detection and classification is far beyond demand as the statistics show that the health and mental illness of society have kept on deteriorating. Electroencephalogram (EEG) signals have the potential to detect stress levels reliably due to their high accuracy. Majority of...
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Main Authors: | , , , , , |
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Format: | Conference or Workshop Item |
Language: | English English |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2021
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Subjects: | |
Online Access: | http://irep.iium.edu.my/98772/7/98772_Machine%20learning%20approach%20for%20stress%20detection.pdf http://irep.iium.edu.my/98772/8/98772_Machine%20learning%20approach%20for%20stress%20detection.pdf http://irep.iium.edu.my/98772/ https://ieeexplore.ieee.org/document/9608810 |
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Institution: | Universiti Islam Antarabangsa Malaysia |
Language: | English English |