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Aurélie Campagne
Researcher at University of Grenoble
Publications - 37
Citations - 1202
Aurélie Campagne is an academic researcher from University of Grenoble. The author has contributed to research in topics: Workload & Cognition. The author has an hindex of 15, co-authored 35 publications receiving 1044 citations. Previous affiliations of Aurélie Campagne include University of Savoy & Centre national de la recherche scientifique.
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Journal ArticleDOI
Correlation between driving errors and vigilance level: influence of the driver's age.
TL;DR: In older drivers, in comparison with young and middle-aged drivers, the degradation of driving performance was correlated to the evolution of lower frequency waking EEG (i.e., theta), and the deterioration of the vigilance level attested by EEG correlated with the increase in gravity of all studied driving errors in older drivers.
Journal ArticleDOI
Similar cerebral networks in language, music and song perception.
Daniele Schön,Reyna L. Gordon,Aurélie Campagne,Cyrille Magne,Corine Astésano,Jean-Luc Anton,Mireille Besson +6 more
TL;DR: Results of both fMRI experiments conducted using song argue against domain specificity and provide additional evidence for a common cerebral network involved in both lexical/phonological and melodic processing.
Journal ArticleDOI
Functional segregation of cortical language areas by sentence repetition
Ghislaine Dehaene-Lambertz,Stanislas Dehaene,Stanislas Dehaene,Jean-Luc Anton,Aurélie Campagne,Philippe Ciuciu,Guillaume P. Dehaene,Isabelle Denghien,Antoinette Jobert,Denis LeBihan,Mariano Sigman,Christophe Pallier,Jean-Baptiste Poline +12 more
TL;DR: The results demonstrate the feasibility of using sentence‐level adaptation to probe the functional organization of cortical language areas and reveal a clear asymmetry: hemispheric left regions encode linguistic content while homologous right regions encode more details about extralinguistic features like speaker voice.
Proceedings ArticleDOI
A comparison of wearable and stationary sensors for stress detection
TL;DR: The main results point out that the Empatica E4 wristband had a significant loss in terms of detected interbeat intervals, but that time-domain features such as the mean heart rate and standard deviation of the heart rate were still well estimated, with good stress discrimination power.
Proceedings ArticleDOI
Mental fatigue and working memory load estimation: Interaction and implications for EEG-based passive BCI
TL;DR: Analysis of the influence of WKL and TOT on EEG band power features, as well as their interaction and its impact on classification performance, reveals opposite changes in alpha power distribution between WKl and Tot conditions.