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

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

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...

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Bibliographic Details
Main Authors: Veaceslav Albu, Svetlana Cojocaru
Format: Article
Language:English
Published: Institute of Mathematics and Computer Science of the Academy of Sciences of Moldova 2015-05-01
Series:Computer Science Journal of Moldova
Subjects:
Neural networks
emotion recognition
RBFN
Online Access:http://www.math.md/files/csjm/v23-n1/v23-n1-(pp40-61).pdf.pdf
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spelling doaj-2c11aa52fd484f6fbe3a5b0e8e8a62c52020-11-24T23:01:50ZengInstitute of Mathematics and Computer Science of the Academy of Sciences of MoldovaComputer Science Journal of Moldova1561-40422015-05-01231(67)4061Measuring human emotions with modular neural networks and computer vision based applicationsVeaceslav Albu0Svetlana Cojocaru1Institute of Mathematics and Computer Science, Academy of Sciences of Moldova, 5 Academiei str., Chisinau, MD-2028, MoldovaInstitute of Mathematics and Computer Science, Academy of Sciences of Moldova, 5 Academiei str., Chisinau, MD-2028, MoldovaThis 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.http://www.math.md/files/csjm/v23-n1/v23-n1-(pp40-61).pdf.pdfNeural networksemotion recognitionRBFN
collection DOAJ
language English
format Article
sources DOAJ
author Veaceslav Albu
Svetlana Cojocaru
spellingShingle Veaceslav Albu
Svetlana Cojocaru
Measuring human emotions with modular neural networks and computer vision based applications
Computer Science Journal of Moldova
Neural networks
emotion recognition
RBFN
author_facet Veaceslav Albu
Svetlana Cojocaru
author_sort Veaceslav Albu
title Measuring human emotions with modular neural networks and computer vision based applications
title_short Measuring human emotions with modular neural networks and computer vision based applications
title_full Measuring human emotions with modular neural networks and computer vision based applications
title_fullStr Measuring human emotions with modular neural networks and computer vision based applications
title_full_unstemmed Measuring human emotions with modular neural networks and computer vision based applications
title_sort measuring human emotions with modular neural networks and computer vision based applications
publisher Institute of Mathematics and Computer Science of the Academy of Sciences of Moldova
series Computer Science Journal of Moldova
issn 1561-4042
publishDate 2015-05-01
description 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.
topic Neural networks
emotion recognition
RBFN
url http://www.math.md/files/csjm/v23-n1/v23-n1-(pp40-61).pdf.pdf
work_keys_str_mv AT veaceslavalbu measuringhumanemotionswithmodularneuralnetworksandcomputervisionbasedapplications
AT svetlanacojocaru measuringhumanemotionswithmodularneuralnetworksandcomputervisionbasedapplications
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