| Conţinutul numărului revistei |
| Articolul precedent |
| Articolul urmator |
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 956 8 |
| Ultima descărcare din IBN: 2022-01-20 18:04 |
| Căutarea după subiecte similare conform CZU |
| 004.81:159.942.5 (1) |
| Inteligență artificială (307) |
| Psihologie (3397) |
 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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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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Dublin Core Export
<?xml version='1.0' encoding='utf-8'?> <oai_dc:dc xmlns:dc='http://purl.org/dc/elements/1.1/' xmlns:oai_dc='http://www.openarchives.org/OAI/2.0/oai_dc/' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xsi:schemaLocation='http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd'> <dc:creator>Albu, V.A.</dc:creator> <dc:creator>Cojocaru, S.C.</dc:creator> <dc:date>2015-04-30</dc:date> <dc:description xml:lang='en'>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. </dc:description> <dc:source>Computer Science Journal of Moldova 67 (1) 40-61</dc:source> <dc:subject>Neural networks</dc:subject> <dc:subject>emotion recognition</dc:subject> <dc:subject>RBFN modular neural networks</dc:subject> <dc:subject>Kinect.</dc:subject> <dc:title>Measuring human emotions with modular neural networks and computer vision based applications</dc:title> <dc:type>info:eu-repo/semantics/article</dc:type> </oai_dc:dc>
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