EMOEEG: A new multimodal dataset for dynamic EEG-based emotion recognition with audiovisual elicitation

Computer Science [cs] Artificial Intelligence [cs.AI] Computer Science [cs] Signal and Image Processing Computer Science [cs] Computer Vision and Pattern Recognition [cs.CV] Computer Science [cs] Robotics [cs.RO] Cognitive science Computer science Cognitive science Psychology Cognitive science Neuroscience

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https://hal.sorbonne-universite.fr/hal-02422947

Submitted on : Monday, December 23, 2019-2:32:20 PM

Last modification on : Tuesday, February 28, 2023-3:36:25 PM

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hal-02422947 , version 1 (23-12-2019)

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HAL Id : hal-02422947 , version 1
DOI : 10.23919/EUSIPCO.2017.8081305

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Anne-Claire Conneau, Ayoub Hajlaoui, Mohamed Chetouani, Slim Essid. EMOEEG: A new multimodal dataset for dynamic EEG-based emotion recognition with audiovisual elicitation. 2017 25th European Signal Processing Conference (EUSIPCO), Aug 2017, Kos, Greece. pp.738-742, ⟨10.23919/EUSIPCO.2017.8081305⟩. ⟨hal-02422947⟩

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