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Exploring Neuro-Physiological Correlates of Drivers' Mental Fatigue Caused by Sleep Deprivation Using Simultaneous EEG, ECG, and fNIRS Data
Frontiers in Human Neuroscience 10 (2016)
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Citations of this work
Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces.Keum-Shik Hong, M. Jawad Khan & Melissa J. Hong - 2018 - Frontiers in Human Neuroscience 12.
Multi-Modal Integration of EEG-fNIRS for Brain-Computer Interfaces – Current Limitations and Future Directions.Sangtae Ahn & Sung C. Jun - 2017 - Frontiers in Human Neuroscience 11.
Evaluating Pro- and Re-Active Driving Behavior by Means of the EEG.Edmund Wascher, Stefan Arnau, Ingmar Gutberlet, Melanie Karthaus & Stephan Getzmann - 2018 - Frontiers in Human Neuroscience 12.
Comparing the Relative Strengths of EEG and Low-Cost Physiological Devices in Modeling Attention Allocation in Semiautonomous Vehicles.Dean Cisler, Pamela M. Greenwood, Daniel M. Roberts, Ryan McKendrick & Carryl L. Baldwin - 2019 - Frontiers in Human Neuroscience 13.
Analysis of Human Gait Using Hybrid EEG-fNIRS-Based BCI System: A Review.Haroon Khan, Noman Naseer, Anis Yazidi, Per Kristian Eide, Hafiz Wajahat Hassan & Peyman Mirtaheri - 2021 - Frontiers in Human Neuroscience 14.
References found in this work
Decoding of four movement directions using hybrid NIRS-EEG brain-computer interface.M. Jawad Khan, Melissa Jiyoun Hong & Keum-Shik Hong - 2014 - Frontiers in Human Neuroscience 8.
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