Measuring human emotions with modular neural networks and computer vision based applications

Albu Veaceslav; Cojocaru Svetlana

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Articolul precedent

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952

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2022-01-20 18:04

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similare conform CZU

004.81:159.942.5 (1)

Inteligență artificială (307)

Psihologie (3389)

SM ISO690:2012

ALBU, Veaceslav, COJOCARU, Svetlana. Measuring human emotions with modular neural networks and computer vision based applications. In: Computer Science Journal of Moldova, 2015, nr. 1(67), pp. 40-61. ISSN 1561-4042.

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Computer Science Journal of Moldova

Numărul 1(67) / 2015 / ISSN 1561-4042 /ISSNe 2587-4330

Measuring human emotions with modular neural networks and computer vision based applications

CZU: 004.81:159.942.5

Pag. 40-61

Albu Veaceslav, Cojocaru Svetlana

Institute of Mathematics and Computer Science ASM

Disponibil în IBN: 3 iunie 2015

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Rezumat

This paper describes a neural network architecture for emotion recognition for human-computer interfaces and applied systems. In the current research, we propose a combination of the most recent biometric techniques with the neural networks (NN) approach for real-time emotion and behavioral analysis. The system will be tested in real-time applications of customers' behavior for distributed on-land systems, such as kiosks and ATMs.

Cuvinte-cheie
Neural networks,

emotion recognition, RBFN modular neural networks, Kinect.

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