HappyFeat, an interactive and efficient BCI Framework for clinical applications

Arthur Desbois; Tristan Venot; Marie-Constance Corsi; Fabrizio de Vico Fallani

Poster Communications Year : 2022

HappyFeat, an interactive and efficient BCI Framework for clinical applications

(1) , (1) , (1) , (1)

1

Arthur Desbois

Function : Author
PersonId : 1106960

Algorithms, models and methods for images and signals of the human brain = Algorithmes, modèles et méthodes pour les images et les signaux du cerveau humain [ICM Paris]

Tristan Venot

Function : Author
PersonId : 1199625
IdHAL : tristan-venot
ORCID : 0000-0002-5383-8910
IdRef : 275602788

Algorithms, models and methods for images and signals of the human brain = Algorithmes, modèles et méthodes pour les images et les signaux du cerveau humain [ICM Paris]

Marie-Constance Corsi

Function : Author
PersonId : 747822
IdHAL : marie-constancecorsi
ORCID : 0000-0002-6262-5036

Algorithms, models and methods for images and signals of the human brain = Algorithmes, modèles et méthodes pour les images et les signaux du cerveau humain [ICM Paris]

Fabrizio de Vico Fallani

Function : Author
PersonId : 11933
IdHAL : fabrizio-de-vico-fallani
ORCID : 0000-0001-8035-7883
IdRef : 186412215

Algorithms, models and methods for images and signals of the human brain = Algorithmes, modèles et méthodes pour les images et les signaux du cerveau humain [ICM Paris]

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Signal and Image Processing Computer science

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Desbois_MetroXraine2022_poster2.pdf (669.46 Ko)

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Arthur Desbois : Connect in order to contact the contributor

https://inria.hal.science/hal-03842568

Submitted on : Monday, November 7, 2022-4:49:50 PM

Last modification on : Friday, March 8, 2024-1:51:45 PM

Long-term archiving on : Thursday, February 9, 2023-10:08:17 AM

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hal-03842568 , version 1 (07-11-2022)

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HAL Id : hal-03842568 , version 1

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Arthur Desbois, Tristan Venot, Marie-Constance Corsi, Fabrizio de Vico Fallani. HappyFeat, an interactive and efficient BCI Framework for clinical applications. MetroXRAINE 2022 - IEEE International conference on metrology for extended reality, artificial intelligence and neural engineering, Oct 2022, Rome, Italy. ⟨hal-03842568⟩

HappyFeat, an interactive and efficient BCI Framework for clinical applications

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