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JCR Impact Factor: 0.650
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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  2/2012 - 8

Toward Automatic Recognition of Children's Affective State Using Physiological Parameters and Fuzzy Model of Emotions

SCHIPOR, O.-A. See more information about SCHIPOR, O.-A. on SCOPUS See more information about SCHIPOR, O.-A. on IEEExplore See more information about SCHIPOR, O.-A. on Web of Science, PENTIUC, S.-G. See more information about  PENTIUC, S.-G. on SCOPUS See more information about  PENTIUC, S.-G. on SCOPUS See more information about PENTIUC, S.-G. on Web of Science, SCHIPOR, M.-D. See more information about SCHIPOR, M.-D. on SCOPUS See more information about SCHIPOR, M.-D. on SCOPUS See more information about SCHIPOR, M.-D. on Web of Science
 
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (722 KB) | Citation | Downloads: 609 | Views: 3,014

Author keywords
assisted speech therapy, emotion recognition, fuzzy model, physiological parameters

References keywords
emotion(11), speech(8), schipor(8), recognition(8), therapy(6), user(5), system(5), pentiuc(5), physiological(4), affect(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2012-05-30
Volume 12, Issue 2, Year 2012, On page(s): 47 - 50
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2012.02008
Web of Science Accession Number: 000305608000008
SCOPUS ID: 84865304575

Abstract
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Affective computing - the ability of a system to recognize, understand and simulate human emotional intelligence - is one of the most dynamic fields of HCI - Human Computer Interaction. These characteristics find their applicability in those areas where it is necessary to extend traditional cognitive communication with emotional features. That is why, Computer Based Speech Therapy Systems (CBST), and especially those involving children with speech disorders, require this qualitative shift. So in this paper we propose an original emotional framework recognition as an extension for our previous developed system - Logomon. A fuzzy model is used in order to interpret the values of specific physiological parameters and to obtain the emotional state of the subject. Moreover, an experiment that indicates the emotion pattern (average fuzzy sets) for each therapeutic sequence is also presented. The obtained results encourage us to continue working on automatic emotion recognition and provide important clues regarding the future development of our CBST.


References | Cited By

Cited-By ISI Web of Science

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Cited-By CrossRef

SCOPUS® Times Cited: 4
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Cited-By CrossRef

[1] Fuzzy Integral and Cuckoo Search Based Classifier Fusion for Human Action Recognition, AYDIN, I., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 1, Volume 18, 2018.
Digital Object Identifier: 10.4316/AECE.2018.01001
[CrossRef] [Full text]

[2] Parkinson's disease Assessment using Fuzzy Expert System and Nonlinear Dynamics, GEMAN, O., TURCU, C. O., GRAUR, A., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 1, Volume 13, 2013.
Digital Object Identifier: 10.4316/AECE.2013.01007
[CrossRef] [Full text]

[3] Software Architecture Design for Spatially-Indexed Media in Smart Environments, SCHIPOR, O.-A., WU, W., TSAI, W.-T., VATAVU, R.-D., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 2, Volume 17, 2017.
Digital Object Identifier: 10.4316/AECE.2017.02003
[CrossRef] [Full text]

[4] SAPIENS, Schipor, Ovidiu-Andrei, Vatavu, Radu-Daniel, Wu, Wenjun, Proceedings of the ACM on Human-Computer Interaction, ISSN 2573-0142, Issue EICS, Volume 3, 2019.
Digital Object Identifier: 10.1145/3331153
[CrossRef]

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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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