Applying Neural Networks with Time-Frequency Features for the Detection of Mental Fatigue

Applying Neural Networks with Time-Frequency Features for the Detection of Mental Fatigue

The detection of mental fatigue is an important issue in the nascent field of neuroergonomics. Although machine learning approaches and especially deep learning designs have constantly demonstrated their efficiency to automatically detect critical features from raw data, the computational resources...

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Bibliographic Details
Main Authors: Ioannis Zorzos, Ioannis Kakkos, Stavros T. Miloulis, Athanasios Anastasiou, Errikos M. Ventouras, George K. Matsopoulos
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Applied Sciences
Subjects:
deep learning
CNN
fatigue
Morlet wavelet
EEG
time-frequency analysis
Online Access:https://www.mdpi.com/2076-3417/13/3/1512

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https://www.mdpi.com/2076-3417/13/3/1512

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