| Conţinutul numărului revistei |
| Articolul precedent |
| Articolul urmator |
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 935 8 |
| Ultima descărcare din IBN: 2022-01-20 18:04 |
| Căutarea după subiecte similare conform CZU |
| 004.81:159.942.5 (1) |
| Inteligență artificială (303) |
| Psihologie (3362) |
 SM ISO690:2012ALBU, 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. |
| EXPORT metadate: Google Scholar Crossref CERIF DataCite Dublin Core |
 Computer Science Journal of Moldova |
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| Numărul 1(67) / 2015 / ISSN 1561-4042 /ISSNe 2587-4330 | ||||||
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| CZU: 004.81:159.942.5 | ||||||
| Pag. 40-61 | ||||||
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 Descarcă PDF |
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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. |
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| Cuvinte-cheie Neural networks, emotion recognition, RBFN modular neural networks, Kinect. |
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