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A Novel Method for Classifying Driver Mental Workload Under Naturalistic Conditions With Information From Near-Infrared Spectroscopy
Frontiers in Human Neuroscience 12 (2018)
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Citations of this work
Classification of Drivers' Workload Using Physiological Signals in Conditional Automation.Quentin Meteier, Marine Capallera, Simon Ruffieux, Leonardo Angelini, Omar Abou Khaled, Elena Mugellini, Marino Widmer & Andreas Sonderegger - 2021 - Frontiers in Psychology 12.
A Methodological Review of fNIRS in Driving Research: Relevance to the Future of Autonomous Vehicles.Stephanie Balters, Joseph M. Baker, Joseph W. Geeseman & Allan L. Reiss - 2021 - Frontiers in Human Neuroscience 15.
A Review of Psychophysiological Measures to Assess Cognitive States in Real-World Driving. [REVIEW]Monika Lohani, Brennan R. Payne & David L. Strayer - 2019 - Frontiers in Human Neuroscience 13:392220.
References found in this work
fNIRS-based brain-computer interfaces: a review.Noman Naseer & Keum-Shik Hong - 2015 - Frontiers in Human Neuroscience 9.
Measuring Mental Workload with EEG+fNIRS.Haleh Aghajani, Marc Garbey & Ahmet Omurtag - 2017 - Frontiers in Human Neuroscience 11.
Assessing the Driver’s Current Level of Working Memory Load with High Density Functional Near-infrared Spectroscopy: A Realistic Driving Simulator Study.Anirudh Unni, Klas Ihme, Meike Jipp & Jochem W. Rieger - 2017 - Frontiers in Human Neuroscience 11.
Identifying and quantifying main components of physiological noise in functional near infrared spectroscopy on the prefrontal cortex.Evgeniya Kirlilna, Na Yu, Alexander Jelzow, Heidrun Wabnitz, Arthur M. Jacobs & Ilias Tachtsidis - 2013 - Frontiers in Human Neuroscience 7.
Novel method to classify hemodynamic response obtained using multi-channel fNIRS measurements into two groups: exploring the combinations of channels.Hiroko Ichikawa, Jun Kitazono, Kenji Nagata, Akira Manda, Keiichi Shimamura, Ryoichi Sakuta, Masato Okada, Masami K. Yamaguchi, So Kanazawa & Ryusuke Kakigi - 2014 - Frontiers in Human Neuroscience 8.
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