Identifying emotion pattern from physiological sensors through Unsupervised Hybrid EMDeep Model

Viviane Gal; Soumya Banerjee; Dana V. Rad

Conference Poster Year : 2019

Identifying emotion pattern from physiological sensors through Unsupervised Hybrid EMDeep Model

(1) , (2) , (3)

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Viviane Gal

Function : Author
PersonId : 181181
IdHAL : viviane-gal
ORCID : 0000-0003-2458-4234

CEDRIC - Interactivité pour Lire et Jouer

Soumya Banerjee

Function : Author

Centre d'études et de recherche en informatique et communications

Dana V. Rad

Function : Author

Aurel Vlaicu University of Arad

Keywords

Classification Methods Emotional states Physiological sensors

Domains

Computer Science [cs] Artificial Intelligence [cs.AI] Cognitive science Cognitive science Computer science Computer Science [cs] Human-Computer Interaction [cs.HC] Computer Science [cs]

Viviane Gal : Connect in order to contact the contributor

https://hal-cnam.archives-ouvertes.fr/hal-03099875

Submitted on : Wednesday, January 6, 2021-1:04:31 PM

Last modification on : Wednesday, September 28, 2022-5:52:04 AM

Dates and versions

hal-03099875 , version 1 (06-01-2021)

Identifiers

HAL Id : hal-03099875 , version 1

Cite

Viviane Gal, Soumya Banerjee, Dana V. Rad. Identifying emotion pattern from physiological sensors through Unsupervised Hybrid EMDeep Model. The Sixth Euro-China Conference on Intelligent Data Analysis and Applications (ECC2019), Oct 2019, Arad, Romania. , 2019. ⟨hal-03099875⟩

Identifying emotion pattern from physiological sensors through Unsupervised Hybrid EMDeep Model

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