Back to Search
Start Over
Identifying emotion pattern from physiological sensors through Unsupervised Hybrid EMDeep Model
- Source :
- The Sixth Euro-China Conference on Intelligent Data Analysis and Applications (ECC2019), The Sixth Euro-China Conference on Intelligent Data Analysis and Applications (ECC2019), Oct 2019, Arad, Romania. 2019
- Publication Year :
- 2019
- Publisher :
- HAL CCSD, 2019.
-
Abstract
- International audience
- Subjects :
- [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]
[SCCO.COMP]Cognitive science/Computer science
[SCCO] Cognitive science
[INFO] Computer Science [cs]
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
Physiological sensors
[SCCO]Cognitive science
Classification Methods
[SCCO.COMP] Cognitive science/Computer science
Emotional states
[INFO]Computer Science [cs]
[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]
[INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC]
ComputingMilieux_MISCELLANEOUS
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- The Sixth Euro-China Conference on Intelligent Data Analysis and Applications (ECC2019), The Sixth Euro-China Conference on Intelligent Data Analysis and Applications (ECC2019), Oct 2019, Arad, Romania. 2019
- Accession number :
- edsair.dedup.wf.001..954e0f47248c191c4b00e6d1af731624