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  1. 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.
    As automobile manufacturers have begun to design, engineer, and test autonomous driving systems of the future, brain imaging with functional near-infrared spectroscopy can provide unique insights about cognitive processes associated with evolving levels of autonomy implemented in the automobile. Modern fNIRS devices provide a portable, relatively affordable, and robust form of functional neuroimaging that allows researchers to investigate brain function in real-world environments. The trend toward “naturalistic neuroscience” is evident in the growing number of studies that leverage the methodological flexibility (...)
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  • Estimating Cognitive Workload in an Interactive Virtual Reality Environment Using EEG.Christoph Tremmel, Christian Herff, Tetsuya Sato, Krzysztof Rechowicz, Yusuke Yamani & Dean J. Krusienski - 2019 - Frontiers in Human Neuroscience 13.
  • 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.
    As driving functions become increasingly automated, motorists run the risk of becoming cognitively removed from the driving process. Psychophysiological measures may provide added value not captured through behavioral or self-report measures alone. This paper provides a selective review of the psychophysiological measures that can be utilized to assess cognitive states in real-world driving environments. First, the importance of psychophysiological measures within the context of traffic safety is discussed. Next, the most commonly used physiology-based indices of cognitive states are considered as (...)
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  • Multisubject “Learning” for Mental Workload Classification Using Concurrent EEG, fNIRS, and Physiological Measures.Yichuan Liu, Hasan Ayaz & Patricia A. Shewokis - 2017 - Frontiers in Human Neuroscience 11.
  • A Novel Method for Classifying Driver Mental Workload Under Naturalistic Conditions With Information From Near-Infrared Spectroscopy.Anh Son Le, Hirofumi Aoki, Fumihiko Murase & Kenji Ishida - 2018 - Frontiers in Human Neuroscience 12.
  • Recognizing Frustration of Drivers From Face Video Recordings and Brain Activation Measurements With Functional Near-Infrared Spectroscopy.Klas Ihme, Anirudh Unni, Meng Zhang, Jochem W. Rieger & Meike Jipp - 2018 - Frontiers in Human Neuroscience 12.
  • In silico vs. Over the Clouds: On-the-Fly Mental State Estimation of Aircraft Pilots, Using a Functional Near Infrared Spectroscopy Based Passive-BCI.Thibault Gateau, Hasan Ayaz & Frédéric Dehais - 2018 - Frontiers in Human Neuroscience 12:319696.
    There is growing interest for implementing tools to monitor cognitive performance in naturalistic work and everyday life settings. The emerging field of research, known as neuroergonomics, promotes the use of wearable and portable brain monitoring sensors such as functional near infrared spectroscopy (fNIRS) to investigate cortical activity in a variety of human tasks out of the laboratory. The objective of this study was to implement an on-line passive fNIRS-based brain computer interface to discriminate two levels of working memory load during (...)
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