Aurélien Appriou
Orcid: 0000-0002-0272-3726
According to our database1,
Aurélien Appriou
authored at least 8 papers
between 2015 and 2021.
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Book In proceedings Article PhD thesis Dataset OtherLinks
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Bibliography
2021
BioPyC, an Open-Source Python Toolbox for Offline Electroencephalographic and Physiological Signals Classification.
Sensors, 2021
2020
Estimating learning-related mental states through brain and physiological signals. (Évaluation des états mentaux liés à l'apprentissage à partir de signaux cérébraux et physiologiques).
PhD thesis, 2020
Towards measuring states of epistemic curiosity through electroencephalographic signals.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Channel Selection over Riemannian Manifold with Non-Stationarity Consideration for Brain-Computer Interface Applications.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2018
Towards Robust Neuroadaptive HCI: Exploring Modern Machine Learning Methods to Estimate Mental Workload From EEG Signals.
Proceedings of the Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2018
2016
Classifying EEG Signals during Stereoscopic Visualization to Estimate Visual Comfort.
Comput. Intell. Neurosci., 2016
2015
Estimating Visual Comfort in Stereoscopic Displays Using Electroencephalography: A Proof-of-Concept.
Proceedings of the Human-Computer Interaction - INTERACT 2015, 2015
Proceedings of the 2015 AAAI Fall Symposia, Arlington, Virginia, USA, November 12-14, 2015, 2015