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A Semi-Supervised Wasserstein Generative Adversarial Network for Classifying Driving Fatigue from EEG signals.
Sharaj Panwar
Paul Rad
John Quarles
Edward J. Golob
Yufei Huang
Published in:
SMC (2019)
Keyphrases
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eeg signals
semi supervised
generative model
semi supervised learning
brain computer interface
active learning
unsupervised learning
traffic accidents
peer to peer
signal processing
motor imagery
complex networks
wireless sensor networks
network structure
labeled data
pattern recognition
neural network