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

Anne-Claire Conneau 1 Ayoub Hajlaoui 1 Mohamed Chetouani 2 Slim Essid 3
1 S2A - Signal, Statistique et Apprentissage
LTCI - Laboratoire Traitement et Communication de l'Information
3 Analyse et synthèse sonores [Paris]
STMS - Sciences et Technologies de la Musique et du Son
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https://hal.sorbonne-universite.fr/hal-02422947
Contributor : Mohamed Chetouani <>
Submitted on : Monday, December 23, 2019 - 2:32:20 PM
Last modification on : Wednesday, September 30, 2020 - 8:54:16 AM

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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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