Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Bertille Somon"'
Autor:
Marcel F. Hinss, Emilie S. Jahanpour, Bertille Somon, Lou Pluchon, Frédéric Dehais, Raphaëlle N. Roy
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-22 (2023)
Abstract Brain-Computer Interfaces and especially passive Brain-Computer interfaces (pBCI), with their ability to estimate and monitor user mental states, are receiving increasing attention from both the fundamental research and the applied research
Externí odkaz:
https://doaj.org/article/70c94b38bfc74ee5ab5d7244413d8cb1
Autor:
Guiomar Niso, Laurens R. Krol, Etienne Combrisson, A. Sophie Dubarry, Madison A. Elliott, Clément François, Yseult Héjja-Brichard, Sophie K. Herbst, Karim Jerbi, Vanja Kovic, Katia Lehongre, Steven J. Luck, Manuel Mercier, John C. Mosher, Yuri G. Pavlov, Aina Puce, Antonio Schettino, Daniele Schön, Walter Sinnott-Armstrong, Bertille Somon, Anđela Šoškić, Suzy J. Styles, Roni Tibon, Martina G. Vilas, Marijn van Vliet, Maximilien Chaumon
Publikováno v:
NeuroImage, Vol 257, Iss , Pp 119056- (2022)
Good scientific practice (GSP) refers to both explicit and implicit rules, recommendations, and guidelines that help scientists to produce work that is of the highest quality at any given time, and to efficiently share that work with the community fo
Externí odkaz:
https://doaj.org/article/28f54f8cdd2b42fd93b2e43f4b41e13d
Autor:
Raphaëlle N. Roy, Marcel F. Hinss, Ludovic Darmet, Simon Ladouce, Emilie S. Jahanpour, Bertille Somon, Xiaoqi Xu, Nicolas Drougard, Frédéric Dehais, Fabien Lotte
Publikováno v:
Frontiers in Neuroergonomics, Vol 3 (2022)
As is the case in several research domains, data sharing is still scarce in the field of Brain-Computer Interfaces (BCI), and particularly in that of passive BCIs—i.e., systems that enable implicit interaction or task adaptation based on a user's m
Externí odkaz:
https://doaj.org/article/57b9b64b92d84a58b336639e8c981995
Publikováno v:
Frontiers in Neuroergonomics, Vol 2 (2022)
Transfer from experiments in the laboratory to real-life tasks is challenging due notably to the inability to reproduce the complexity of multitasking dynamic everyday life situations in a standardized lab condition and to the bulkiness and invasiven
Externí odkaz:
https://doaj.org/article/f92c0bfddd084306b30523d10230cb7e
Publikováno v:
Frontiers in Human Neuroscience, Vol 11 (2017)
Nowadays, automation is present in every aspect of our daily life and has some benefits. Nonetheless, empirical data suggest that traditional automation has many negative performance and safety consequences as it changed task performers into task sup
Externí odkaz:
https://doaj.org/article/0c9d8503d69445dd9acb2e1386d81a81
Publikováno v:
PsychophysiologyREFERENCES.
Supervision of automated systems is an ubiquitous aspect of most of our everyday life activities which is even more necessary in high risk industries (aeronautics, power plants, etc.). Performance monitoring related to our own error making has been w
In high-risk environments, fast and accurate responses to warning systems are essential to efficiently handle emergency situations. The aim of the present study was twofold: 1) investigating whether hand action videos (i.e., gesture alarms) trigger f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9f63c19b951b92a56ed362a6c335193
https://doi.org/10.1101/2022.03.21.485187
https://doi.org/10.1101/2022.03.21.485187
The objective of this chapter is to focus on the use of unobtrusive easy-to-use electrophysiological systems for neuroergonomic research. In a first section, we describe the challenges and limits related to the use of such systems. Electrode localiza
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d7b769225bad4f2ce0f5158ecf18aaf
https://oatao.univ-toulouse.fr/28556/
https://oatao.univ-toulouse.fr/28556/
Autor:
Madison Elliott, Anđela Šoškić, Vanja Kovic, Roni Tibon, Karim Jerbi, Suzy J. Styles, Manuel R. Mercier, Aina Puce, Antonio Schettino, Yseult Héjja-Brichard, Laurens Krol, Sophie K. Herbst, Guiomar Niso, Daniele Schön, Katia Lehongre, Yuri G. Pavlov, Anne-Sophie Dubarry, Clément François, Steven J. Luck, John C. Mosher, Bertille Somon, Walter Sinnott-Armstrong, Marijn van Vliet, Maximilien Chaumon, Martina G. Vilas, Etienne Combrisson
Good Scientific Practice (GSP) refers to both explicit and implicit rules or guidelines that help scientists to produce work that is of the highest quality at any given time, and to efficiently share that work with the community for further scrutiny
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::900c77692849079c5d9b50647f7ded20
https://hal.archives-ouvertes.fr/hal-03494100
https://hal.archives-ouvertes.fr/hal-03494100
Autor:
Guiomar Niso, Laurens R. Krol, Etienne Combrisson, A. Sophie Dubarry, Madison A. Elliott, Clément François, Yseult Héjja-Brichard, Sophie K. Herbst, Karim Jerbi, Vanja Kovic, Katia Lehongre, Steven J. Luck, Manuel Mercier, John C. Mosher, Yuri G. Pavlov, Aina Puce, Antonio Schettino, Daniele Schön, Walter Sinnott-Armstrong, Bertille Somon, Anđela Šoškić, Suzy J. Styles, Roni Tibon, Martina G. Vilas, Marijn van Vliet, Maximilien Chaumon
Publikováno v:
NeuroImage
Good scientific practice (GSP) refers to both explicit and implicit rules, recommendations, and guidelines that help scientists to produce work that is of the highest quality at any given time, and to efficiently share that work with the community fo