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JCR Impact Factor: 0.800
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SCOPUS CiteScore: 2.0
Issues per year: 4
Current issue: Feb 2024
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PUBLISHER

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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2023-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2022. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.800 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 1.000.

2023-Jun-05
SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2021 is 2.5, the same as for 2020 but better than all our previous results.

2021-Jun-30
Clarivate Analytics published the InCites Journal Citations Report for 2020. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.221 (1.053 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.961.

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  2/2012 - 8

 HIGHLY CITED PAPER 

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
 
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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: 1,084 | Views: 4,228

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 Clarivate Web of Science

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Cited-By SCOPUS

SCOPUS® Times Cited: 5
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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] GearWheels: A Software Tool to Support User Experiments on Gesture Input with Wearable Devices, Schipor, Ovidiu-Andrei, Vatavu, Radu-Daniel, International Journal of Human–Computer Interaction, ISSN 1044-7318, Issue 18, Volume 39, 2023.
Digital Object Identifier: 10.1080/10447318.2022.2098907
[CrossRef]

[5] 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]

Updated 2 days, 17 hours ago

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


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