EEG-based prediction of driver's cognitive performance by deep convolutional neural network
- 30 May 2016
- journal article
- Published by Elsevier BV in Signal Processing: Image Communication
- Vol. 47, 549-555
- https://doi.org/10.1016/j.image.2016.05.018
Abstract
No abstract availableKeywords
This publication has 15 references indexed in Scilit:
- Single-Trial Classification of Event-Related Potentials in Rapid Serial Visual Presentation Tasks Using Supervised Spatial FilteringIEEE Transactions on Neural Networks and Learning Systems, 2014
- Automatic detection of drowsiness in EEG records based on multimodal analysisMedical Engineering & Physics, 2014
- Independent Component Ensemble of EEG for Brain–Computer InterfaceIEEE Transactions on Neural Systems and Rehabilitation Engineering, 2013
- Co-modulatory spectral changes in independent brain processes are correlated with task performanceNeuroImage, 2012
- Using Brain–Computer Interfaces and Brain-State Dependent Stimulation as Tools in Cognitive NeuroscienceFrontiers in Psychology, 2011
- Can SVM be used for automatic EEG detection of drowsiness during car driving?Safety Science, 2009
- Learning Deep Architectures for AIFoundations and Trends® in Machine Learning, 2008
- EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysisJournal of Neuroscience Methods, 2004
- EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysisBrain Research Reviews, 1999
- Gradient-based learning applied to document recognitionProceedings of the IEEE, 1998