Measuring human emotions with modular neural networks
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ALBU, Veaceslav. Measuring human emotions with modular neural networks. In: International Multi-Conference on Complexity, Informatics and Cybernetics IMCIC. Ediția 7, Vol.1, 8-11 martie 2016, Orlando. Florida, U.S.A.: International Institute of Informatics and Systemics, IIIS, 2016, pp. 26-27. ISBN 978-194176334-6.
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International Multi-Conference on Complexity, Informatics and Cybernetics
Ediția 7, Vol.1, 2016
Conferința "7th International Multi-Conference on Complexity, Informatics and Cybernetics and 7th International Conference on Society and Information Technologies"
Orlando, United States, 8-11 martie 2016

Measuring human emotions with modular neural networks


Pag. 26-27

Albu Veaceslav
 
Institute of Mathematics and Computer Science ASM
 
Disponibil în IBN: 18 iunie 2022


Rezumat

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).

Cuvinte-cheie
computer vision, Emotion classification, Neural networks, RBFNN