G
Gautier Durantin
Researcher at University of Queensland
Publications - 17
Citations - 692
Gautier Durantin is an academic researcher from University of Queensland. The author has contributed to research in topics: Social robot & Filter (signal processing). The author has an hindex of 11, co-authored 16 publications receiving 543 citations. Previous affiliations of Gautier Durantin include Institut supérieur de l'aéronautique et de l'espace & Centre national de la recherche scientifique.
Papers
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Journal ArticleDOI
Using near infrared spectroscopy and heart rate variability to detect mental overload.
TL;DR: Results show that both fNIRS and HRV are sensitive to different levels of mental workload; notably, lower prefrontal activation as well as a lower LF/HF ratio at the highest level of difficulty, suggest that these measures are suitable for mental overload detection.
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Real-Time State Estimation in a Flight Simulator Using fNIRS
TL;DR: An on-line fNIRS-based inference system that integrates two complementary estimators that match significantly better than chance with the pilot’s real state and establish reusable blocks for further fNirS- based passive brain computer interface development.
Journal ArticleDOI
Characterization of mind wandering using fNIRS
TL;DR: The results confirm the ability of fNIRS to detect Default Network activations in the context of MW and observe significant activations over the medial prefrontal cortex during MW, a brain region associated with the default mode network (DMN).
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Classification of single-trial auditory events using dry-wireless EEG during real and motion simulated flight
TL;DR: This experiment demonstrates that dry-wireless EEG can be used in environments with considerable vibration, wind, acoustic noise, and physiological artifacts and achieve good single trial classification performance that is necessary for future successful application of neuro-augmentation technology based on brain-machine interfaces.
Journal ArticleDOI
Processing Functional Near Infrared Spectroscopy Signal with a Kalman Filter to Assess Working Memory during Simulated Flight
Gautier Durantin,Gautier Durantin,Gautier Durantin,Sébastien Scannella,Thibault Gateau,Arnaud Delorme,Arnaud Delorme,Frédéric Dehais +7 more
TL;DR: The proposed Kalman filtering approach, a signal processing technique that is efficient when the dynamics of the signal can be modeled, is based on the Boynton model of hemodynamic response and suggests that Kalman filter is a suitable approach for real-time improvement of near infrared spectroscopy signal in ecological situations and the development of BCI.