F. Dehais, J. Behrend, V. Peysakhovich, M. Causse, and C. D. Wickens, Pilot flying and pilot monitoring's aircraft state awareness during go-around execution in aviation: A behavioral and eye tracking study, Int. J. Aerosp. Psychol, vol.27, pp.15-28, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01655050

A. F. Stokes and K. Kite, Flight Stress: Stress, Fatigue and Performance in Aviation, vol.Routledge, 2017.

G. Borghini, L. Astolfi, G. Vecchiato, D. Mattia, and F. Babiloni, Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness. Neurosc, Biobehav. Rev, vol.44, pp.58-75, 2014.

G. Durantin, J. F. Gagnon, S. Tremblay, and F. Dehais, Using near infrared spectroscopy and heart rate variability to detect mental overload, Behav. Brain Res, vol.259, pp.16-23, 2014.
URL : https://hal.archives-ouvertes.fr/hal-00996701

J. Allsop, R. Gray, H. H. Bülthoff, and L. Chuang, Eye movement planning on Single-Sensor-Single-Indicator displays is vulnerable to user anxiety and cognitive load, J. Eye Mov. Res, vol.10, pp.1-15, 2017.

F. Dehais, M. Causse, F. Vachon, N. Régis, E. Menant et al., Failure to detect critical auditory alerts in the cockpit: Evidence for inattentional deafness, Hum. Factors, vol.56, pp.631-644, 2014.

F. Dehais, M. Causse, N. Régis, E. Menant, P. Labedan et al., Missing critical auditory alarms in aeronautics: Evidence for inattentional deafness?, Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol.56, pp.1639-1643, 2012.

J. L. Taylor, J. A. Yesavage, D. G. Morrow, N. Dolhert, J. O. Brooks et al., The effects of information load and speech rate on younger and older aircraft pilots' ability to execute simulated air-traffic controller instructions, J. Gerontol, vol.49, pp.191-200, 1994.

R. Dismukes, G. E. Young, R. L. Sumwalt, and C. H. Iii;-null, Cockpit Interruptions and Distractions: Effective Management Requires a Careful Balancing Act; Air Line Pilots Association, 1998.

J. Orasanu, N. Ames, L. Martin, and J. Davison, Cognitive and contextual factors in aviation accidents: Decision errors. In Linking Expertise and Naturalistic Decision Making, pp.209-243, 2001.

T. O. Zander and C. Kothe, Towards passive brain-computer interfaces: Applying brain-computer interface technology to human-machine systems in general, J. Neural Eng, 2011.

F. Lotte, L. Bougrain, A. Cichocki, M. Clerc, M. Congedo et al., A review of classification algorithms for EEG-based brain-computer interfaces: A 10 year update, J. Neural Eng, vol.15, p.31005, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01846433

F. Lotte and R. N. Roy, Brain-computer interface contributions to neuroergonomics, Neuroergonomics, pp.43-48, 2019.
URL : https://hal.archives-ouvertes.fr/hal-01946095

C. Mühl, C. Jeunet, and F. Lotte, EEG-based workload estimation across affective contexts, Front. Neurosc, vol.8, p.114, 2014.

P. Aricò, G. Borghini, G. Di-flumeri, A. Colosimo, S. Bonelli et al., Adaptive automation triggered by EEG-based mental workload index: A passive brain-computer interface application in realistic air traffic control environment, Front. Hum. Neurosci, vol.10, 2016.

K. C. Ewing, S. H. Fairclough, and K. Gilleade, Evaluation of an adaptive game that uses EEG measures validated during the design process as inputs to a biocybernetic loop, Front. Hum. Neurosci, vol.10, 2016.

G. Shou and L. Ding, Frontal theta EEG dynamics in a real-world air traffic control task, Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp.5594-5597, 2013.

S. Fairclough and L. Mulder, Psychophysiological processes of mental effort investment, How Motivation Affects Cardiovascular Response: Mechanisms and Applications

G. Matthews, L. Reinerman-jones, J. Abich, and A. Iv;-kustubayeva, Metrics for individual differences in EEG response to cognitive workload: Optimizing performance prediction, Personal. Individ. Differ, vol.118, pp.22-28, 2017.

S. Fitzgibbon, K. Pope, L. Mackenzie, C. Clark, and J. Willoughby, Cognitive tasks augment gamma EEG power, Clin. Neurophysiol, vol.115, pp.1802-1809, 2004.

R. N. Roy, S. Bonnet, S. Charbonnier, and A. Campagne, Efficient workload classification based on ignored auditory probes: a proof of concept, Front. Hum. Neurosci, vol.10, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01378325

A. M. Brouwer, M. A. Hogervorst, J. B. Van-erp, T. Heffelaar, P. H. Zimmerman et al., Estimating workload using EEG spectral power and ERPs in the n-back task, J. Neural Eng, vol.9, p.45008, 2012.

J. Polich, Updating P300: An integrative theory of P3a and P3b, Clin. Neurophysiol, vol.118, pp.2128-2148, 2007.

T. Gateau, H. Ayaz, and F. Dehais, In silico versus over the clouds: On-the-fly mental state estimation of aircraft pilots, using a functional near infrared spectroscopy based passive-BCI, Front. Hum. Neurosci, vol.12, 2018.

F. Lotte, J. Fujisawa, H. Touyama, R. Ito, M. Hirose et al., Towards ambulatory brain-computer interfaces: A pilot study with P300 signals, Proceedings of the International Conference on Advances, pp.336-339, 2009.
URL : https://hal.archives-ouvertes.fr/inria-00411284

S. Debener, R. Emkes, M. De-vos, and M. Bleichner, Unobtrusive ambulatory EEG using a smartphone and flexible printed electrodes around the ear, Sci. Rep, vol.5, 2015.

G. F. Wilson, B. Purvis, J. Skelly, P. Fullenkamp, and I. Davis, Physiological data used to measure pilot workload in actual flight and simulator conditions, Proceedings of the Human Factors Society Annual Meeting

F. Sauvet, C. Bougard, M. Coroenne, L. Lely, P. Van-beers et al., In-flight automatic detection of vigilance states using a single EEG channel, IEEE Trans. Biomed. Eng, vol.61, pp.2840-2847, 2014.

D. Stasi, L. L. Diaz-piedra, C. Suárez, J. Mccamy, M. B. Martinez-conde et al., Catena, A. Task complexity modulates pilot electroencephalographic activity during real flights, Psychophysiology, vol.52, pp.951-956, 2015.

M. Sterman, G. Schummer, T. Dushenko, and J. Smith, Electroencephalographic Correlates of Pilot Performance: Simulation and In-Flight Studies, 1988.

S. Blum, S. Debener, R. Emkes, N. Volkening, S. Fudickar et al., EEG recording and online signal processing on android: A multiapp framework for brain-computer interfaces on smartphone, BioMed Res. Int, 2017.

C. Guger, G. Krausz, B. Z. Allison, and G. Edlinger, Comparison of dry and gel based electrodes for P300 brain-computer interfaces, Front. Neurosci, vol.6, 2012.

A. Searle and L. Kirkup, A direct comparison of wet, dry and insulating bioelectric recording electrodes, Physiol. Meas, 2000.
DOI : 10.1088/0967-3334/21/2/307

D. E. Callan, T. Gateau, G. Durantin, N. Gonthier, and F. Dehais, Disruption in neural phase synchrony is related to identification of inattentional deafness in real-world setting. Hum. Brain Map, vol.39, pp.2596-2608, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01738660

F. Dehais, R. N. Roy, G. Durantin, T. Gateau, and D. Callan, EEG-engagement index and auditory alarm misperception: An inattentional deafness study in actual flight condition, International Conference on Applied Human Factors and Ergonomics, pp.227-234, 2017.

F. Dehais, A. Duprès, G. Di-flumeri, K. J. Verdière, G. Borghini et al., Monitoring pilot's cognitive fatigue with engagement features in simulated and actual flight conditions using an hybrid fNIRS-EEG passive BCI, IEEE SMC, pp.544-549, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01959452

C. A. Scholl, Y. M. Chi, M. Elconin, W. R. Gray, M. A. Chevillet et al., Classification of pilot-induced oscillations during in-flight piloting exercises using dry EEG sensor recordings, Proceedings of the IEEE 38th Annual International Conference of the Engineering in Medicine and Biology Society (EMBC), pp.4467-4470, 2016.

D. E. Callan, G. Durantin, and C. Terzibas, Classification of single-trial auditory events using dry-wireless EEG during real and motion simulated flight, Front. Syst. Neurosci, vol.9, issue.11, 2015.

A. Delorme and S. Makeig, EEGLAB: An open source toolbox for analysis of single-trial EEG dynamics including independent component analysis, J. Neurosci. Methods, vol.134, pp.9-21, 2004.

T. Mullen, C. Kothe, Y. M. Chi, A. Ojeda, T. Kerth et al., Real-time modeling and 3D visualization of source dynamics and connectivity using wearable EEG, Proceedings of the IEEE 35th Annual International Conference of the Engineering in Medicine and Biology Society (EMBC), pp.2184-2187, 2013.

E. Arad, R. P. Bartsch, J. W. Kantelhardt, and M. Plotnik, Performance-based approach for movement artifact removal from electroencephalographic data recorded during locomotion, PLoS ONE, vol.13, 2018.

T. P. Luu, J. A. Brantley, S. Nakagome, F. Zhu, and J. L. Contreras-vidal, Electrocortical correlates of human level-ground, slope, and stair walking, PLoS ONE, vol.12, 2017.

S. Blum, N. S. Jacobsen, M. G. Bleichner, and S. Debener, Riemannian Artifact Subspace Reconstruction for EEG Artifact Correction, 2019.
DOI : 10.3389/fnhum.2019.00141
URL : https://doi.org/10.3389/fnhum.2019.00141

, rASR Open Source Project Repository, 2019.

I. Käthner, S. C. Wriessnegger, G. R. Müller-putz, A. Kübler, and S. Halder, Effects of mental workload and fatigue on the P300, alpha and theta band power during operation of an ERP (P300) brain-computer interface, Biol. Psychol, vol.102, pp.118-129, 2014.

B. Efron and R. J. Tibshirani, An Introduction to the Bootstrap, 1994.

F. Lotte, A tutorial on EEG signal-processing techniques for mental-state recognition in brain-computer interfaces. In Guide to Brain-Computer Music Interfacing, pp.133-161, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01055103

B. Blankertz, R. Tomioka, S. Lemm, M. Kawanabe, and K. R. Müller, Optimizing spatial filters for robust EEG single-trial analysis, IEEE Signal Process. Mag, vol.25, pp.41-56, 2008.
DOI : 10.1109/msp.2008.4408441

F. Lotte, Signal processing approaches to minimize or suppress calibration time in oscillatory activity-based brain-computer interfaces, Proc. IEEE 2015, vol.103, pp.871-890
URL : https://hal.archives-ouvertes.fr/hal-01159171

H. Peng, F. Long, and C. Ding, Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and min-redundancy, IEEE Trans. Pattern Anal. Mach. Intell, vol.27, pp.1226-1238, 2005.

S. Haufe, F. Meinecke, K. Görgen, S. Dähne, J. D. Haynes et al., On the interpretation of weight vectors of linear models in multivariate neuroimaging, Neuroimage, vol.87, pp.96-110, 2014.

K. Natani and F. E. Gomer, Electrocortical Activity and Operator Workload: A Comparison of Changes in the Electroencephalogram and in Event-Related Potentials

, McDonnell Douglas Astronautics Company, 1981.

E. J. Sirevaag, A. Kramer, M. Reisweber, C. S. Wickens, and J. F. Grenell, Assessment of pilot performance and mental workload in rotary wing aircraft, Ergonomics, vol.36, pp.1121-1140, 1993.

F. Dehais, R. Roy, and S. Scannella, Inattentional deafness to auditory alarms: Inter-individual differences, electrophysiological signature and single trial classification, Behav. Brain Res, vol.360, pp.51-59, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01991825

G. Durantin, F. Dehais, N. Gonthier, C. Terzibas, and D. E. Callan, Neural signature of inattentional deafness. Hum. Brain Mapp, vol.38, pp.5440-5455, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01852353

J. Beatty, A. Greenberg, W. P. Deibler, and J. F. O'hanlon, Operant control of occipital theta rhythm affects performance in a radar monitoring task, Science, vol.183, pp.871-873, 1974.

S. Makeig and M. Inlow, Lapse in alertness: Coherence of fluctuations in performance and EEG spectrum, Electroencephalogr. Clin. Neurophysiol, vol.86, pp.23-35, 1993.

M. G. Bleichner and S. Debener, Concealed, unobtrusive ear-centered EEG acquisition: CEEGrids for transparent EEG, Front. Hum. Neurosci, vol.11, 2017.

M. G. Bleichner, B. Mirkovic, and S. Debener, Identifying auditory attention with ear-EEG: CEEGrid versus high-density cap-EEG comparison, J. Neural Eng, vol.13, p.66004, 2016.

S. Scannella, V. Peysakhovich, F. Ehrig, E. Lepron, and F. Dehais, Assessment of ocular and physiological metrics to discriminate flight phases in real light aircraft, Hum. Factors, vol.60, pp.922-935, 2018.

A. Kubler, V. Mushahwar, L. R. Hochberg, J. P. Donoghue, and . Bci, IEEE Trans. Neural Syst. Rehabil. Eng, vol.14, pp.131-134, 2005.

S. L. Kappel, M. L. Rank, H. O. Toft, M. Andersen, and P. Kidmose, Dry-contact electrode ear-EEG, IEEE Trans. Biomed. Eng, vol.66, pp.150-158, 2018.