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 SM ISO690:2012ALBU, Veaceslav. Measuring human emotions with modular neural networks. In: International Multi-Conference on Complexity, Informatics and Cybernetics: IMCIC, 8-11 martie 2016, Orlando. Florida, U.S.A.: International Institute of Informatics and Systemics, IIIS, 2016, Ediția 7, Vol.1, pp. 26-27. ISBN 978-194176334-6. |
| EXPORT metadate: Google Scholar Crossref CERIF DataCite Dublin Core |
| International Multi-Conference on Complexity, Informatics and Cybernetics Ediția 7, Vol.1, 2016 |
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Conferința "7th International Multi-Conference on Complexity, Informatics and Cybernetics and 7th International Conference on Society and Information Technologies" Orlando, Statele Unite ale Americii, 8-11 martie 2016 | ||||||
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| Pag. 26-27 | ||||||
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In this paper, we propose a hybrid architecture for detection of human emotions. The architecture represents an effective tool for real-time processing of customer's behaviour for distributed on-land systems, such as kiosks and ATMs. The proposed approach combines most recent biometric techniques with the NN approach for real-time emotion and behavioural analysis. The architecture of the system represents the combination of radial basis function neural networks with selforganised maps (RBF-SOM). |
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| Cuvinte-cheie computer vision, Emotion classification, Neural networks, RBFNN |
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