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  1. 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.
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  • Heart Rate Variability and Cardiac Vagal Tone in Psychophysiological Research – Recommendations for Experiment Planning, Data Analysis, and Data Reporting.Sylvain Laborde, Emma Mosley & Julian F. Thayer - 2017 - Frontiers in Psychology 8.
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  • Respiration and Heart Rate Modulation Due to Competing Cognitive Tasks While Driving.Antonio R. Hidalgo-Muñoz, Adolphe J. Béquet, Mathis Astier-Juvenon, Guillaume Pépin, Alexandra Fort, Christophe Jallais, Hélène Tattegrain & Catherine Gabaude - 2019 - Frontiers in Human Neuroscience 12.
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  • 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.
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  • Into the Wild: Neuroergonomic Differentiation of Hand-Held and Augmented Reality Wearable Displays during Outdoor Navigation with Functional Near Infrared Spectroscopy.Ryan McKendrick, Raja Parasuraman, Rabia Murtza, Alice Formwalt, Wendy Baccus, Martin Paczynski & Hasan Ayaz - 2016 - Frontiers in Human Neuroscience 10:171788.
    Highly mobile computing devices promise to improve quality of life, productivity, and performance. Increased situation awareness and reduced mental workload are two potential means by which this can be accomplished. However, it is difficult to measure these concepts in the ‘wild’. We employed an ultra-portable battery operated and wireless functional near infrared spectroscopy (fNIRS) to non-invasively measure hemodynamic changes in the brain’s prefrontal cortex. Measurements were taken during navigation of a college campus with either a hand-held display, or an augmented (...)
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  • Drives and the C. N. S. (conceptual nervous system).D. O. Hebb - 1955 - Psychological Review 62 (4):243-254.
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  • Detecting and Quantifying Mind Wandering during Simulated Driving.Carryl L. Baldwin, Daniel M. Roberts, Daniela Barragan, John D. Lee, Neil Lerner & James S. Higgins - 2017 - Frontiers in Human Neuroscience 11.
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  • (1 other version)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.
    Multi-modal integration, which combines multiple neurophysiological signals, is gaining more attention for its potential to supplement single modality’s drawbacks and yield reliable results by extracting complementary features. In particular, integration of electroencephalography and functional near-infrared spectroscopy is cost-effective and portable, and therefore is a fascinating approach to brain-computer interface. However, outcomes from the integration of these two modalities have yielded only modest improvement in BCI performance because of the lack of approaches to integrate the two different features. In addition, mismatch (...)
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  • Toward a Wireless Open Source Instrument: Functional Near-infrared Spectroscopy in Mobile Neuroergonomics and BCI Applications.Alexander von Lühmann, Christian Herff, Dominic Heger & Tanja Schultz - 2015 - Frontiers in Human Neuroscience 9.
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  • (1 other version)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.
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  • Measures of emotion: A review.Iris B. Mauss & Michael D. Robinson - 2009 - Cognition and Emotion 23 (2):209-237.
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  • Age differences in managing response to sadness elicitors using attentional deployment, positive reappraisal and suppression.Monika Lohani & Derek M. Isaacowitz - 2014 - Cognition and Emotion 28 (4):678-697.
    The current study investigated age differences in the use of attentional deployment, positive reappraisal and suppression while regulating responses to sadness-eliciting content. We also tested to what extent these emotion regulation strategies were useful for each age group in managing response to age-relevant sad information. Forty-two young participants (Mage = 18.5, SE =.15) and 48 older participants (Mage = 71.42, SE = 1.15) watched four sadness-eliciting videos (about death/illness, four to five minutes long) under four conditions—no-regulation (no regulation instructions), attentional (...)
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  • Sustained Attention in Real Classroom Settings: An EEG Study.Li-Wei Ko, Oleksii Komarov, W. David Hairston, Tzyy-Ping Jung & Chin-Teng Lin - 2017 - Frontiers in Human Neuroscience 11.
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  • Age-Related Differences in Pro-active Driving Behavior Revealed by EEG Measures.Stephan Getzmann, Stefan Arnau, Melanie Karthaus, Julian Elias Reiser & Edmund Wascher - 2018 - Frontiers in Human Neuroscience 12.
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