|2/2012 - 8|
Toward Automatic Recognition of Children's Affective State Using Physiological Parameters and Fuzzy Model of EmotionsSCHIPOR, O.-A. , PENTIUC, S.-G. , SCHIPOR, M.-D.
|View the paper record and citations in|
|Click to see author's profile in SCOPUS, IEEE Xplore, Web of Science|
|Download PDF (722 KB) | Citation | Downloads: 810 | Views: 3,640|
assisted speech therapy, emotion recognition, fuzzy model, physiological parameters
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
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 «-- Click to see who has cited this paper|
| S. G. Pentiuc, I. Tobolcea, O. A. Schipor, M. Danubianu, M. D. Schipor, "Translation of the Speech Therapy Programs in the Logomon Assisted Therapy System," Advances in Electrical and Computer Engineering, vol. 10, no. 2, pp. 48-52, 2010 |
[CrossRef] [Full Text] [Web of Science Times Cited 11] [SCOPUS Times Cited 14]
 O. A. Schipor, S. G. Pentiuc, M. D. Schipor, "Using a Fuzzy Emotion Model in Computer Assisted Speech Therapy," in Proc. 3rd International Conference on Software, Services and Semantic Technologies, Bourgas, Bulgaria, 2011, pp. 189-194
[CrossRef] [SCOPUS Times Cited 1]
 M. Cerlinca, A. Graur, S. G. Pentiuc, T. I. Cerlinca, "Developing a Logopaedic Mobile Device Using a FPGA," in Proc. of SACI '07, Romania, pp. 89-92, 2007.
 O. A. Schipor, S. G. Pentiuc, M. D. Schipor, "Improving Computer Based Speech Therapy Using a Fuzzy Expert System," Computing and Informatics, vol. 29, no. 2, pp. 303-318, 2010.
 M. H. Zaharia, F. Leon, "Speech Therapy Based on Expert System," Advances in Electrical and Computer Engineering, vol. 9, no. 1, pp. 74-77, 2009
[CrossRef] [Full Text] [Web of Science Times Cited 7] [SCOPUS Times Cited 6]
 M. D. Schipor, S. G. Pentiuc, O. A. Schipor, "End-User Recommendations on LOGOMON - a Computer Based Speech Therapy System for Romanian Language," Advances in Electrical and Computer Engineering, vol. 10, no. 4, pp. 57-60, 2010
[CrossRef] [Full Text] [Web of Science Times Cited 6] [SCOPUS Times Cited 7]
 A. Mehrabian. Nonverbal Communication. Aldine-Atherton, 1972.
 S.M. Lajevardi, Z. M. Hussain, "Feature Extraction for Facial Expression Recognition based on Hybrid Face Regions," Advances in Electrical and Computer Engineering, vol. 9, no. 3, pp. 63-67, 2009
[CrossRef] [Full Text] [Web of Science Times Cited 23] [SCOPUS Times Cited 28]
 M. Paleari, B. Huet, R. Chellali, "Towards multimodal emotion recognition : A new approach," in Proc. of ACM International Conference on Image and Video Retrieval on Medical & Biological Engineering & Computing, Xi'an, China, 2010, pp. 174-181.
[CrossRef] [SCOPUS Times Cited 23]
 E. Mower, A. Metallinou, C. C. Lee, A. Kazemzadeh, C. Busso, S. Lee, S. Narayanan, "Interpreting Ambiguous Emotional Expressions," in Proc. of ACII, Amsterdam, 2009.
 G. Castellano, L. Kessous, G. Caridakis, "Emotion Recognition through Multiple Modalities: Face, Body Gesture, Speech," Affect and Emotion in Human-Computer, vol. 4868, pp. 92-103, 2008
[CrossRef] [SCOPUS Times Cited 180]
 M. S. Hussain, R. A. Calvo, "A Framework for Multimodal Affect Recognition," in Proc. of HCSNet Perception and Action Workshop, Brisbane, Australia, 2009.
 J. Kim, E. André, "Emotion Recognition Based on Physiological Changes in Listening Music," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 30, pp. 2067-2083, 2008
[CrossRef] [Web of Science Times Cited 563] [SCOPUS Times Cited 738]
 C. L. Lisetti, F. Nasoz, "MAUI: A Multimodal Affective User Interface," in Proc. of the ACM Multimedia International Conference, Juan les Pins, France, 2002.
 G. N. Yannakakis, H. P. Martinez, A. Jhala, "Towards affective camera control in games," User Modeling and User-Adapted Interaction, vol. 20, pp. 313-340, 2010
[CrossRef] [Web of Science Times Cited 59] [SCOPUS Times Cited 82]
 K. H. Kim, S. W. Bang, S. R. Kim, "Emotion Recognition System Using Short-Term Monitoring of Physiological Signals," in Proc. on Medical & Biological Engineering & Computing, 2004, pp. 419-427.
 O. Grigore, V. Velican, "Self-Organizing Maps For Identifying Impaired Speech," Advances in Electrical and Computer Engineering, vol. 11, no. 3, pp. 41-48, 2011
[CrossRef] [Full Text] [Web of Science Times Cited 5] [SCOPUS Times Cited 8]
 T. Polzehl, S. Sundaram, H. Ketabdar, M. Wagner, F. Metze, "Emotion Classification in Children's Speech Using Fusion of Acoustic and Linguistic Features," in Proc. of INTERSPEECH-2009, Brighton, UK, pp. 340-343, 2009.
 A. Ortony, T. J. Turner, "What's basic about basic emotions?" Psychological Review, vol. 97, pp. 315-331, 1990
[CrossRef] [Web of Science Times Cited 900] [SCOPUS Times Cited 1098]
 W. Parrot. Emotions in Social Psychology. Philadelphia: Psychology, 2001.
 J. A. Russell, "A circumplex model of affect," vol. 39, pp. 1161-1178, 1980.
 H. Schlossberg, "Three dimensions of emotion," Psychological review, vol. 61, pp. 81-88, 1954
[CrossRef] [SCOPUS Times Cited 582]
 K. De Verena, L. C. Cooper. Managing emotions in mergers and acquisition. Edward Elgar, 2011.
 P. Petta, C. Pelachaud, R. Cowie. Emotion-Oriented Systems: The HUMAINE Handbook. Springer, 2011.
 H. Leng, Y. Lin, L. A. Zanzi, "An experimental study on physiological parameters toward driver emotion recognition," in Proc. of EHAWC, Beijing, pp. 237-246, 2007.
[CrossRef] [SCOPUS Times Cited 33]
 F. Nasoz, C. L. Lissetti, K. Alvarez, N. Finkelstein, "Emotion Recognition from Physiological Signals for User Modeling of Affect," in Proc. of M'2003, Johnstown, 2003.
Web of Science® Citations for all references: 1,574 TCR
SCOPUS® Citations for all references: 2,800 TCR
Web of Science® Average Citations per reference: 58 ACR
SCOPUS® Average Citations per reference: 104 ACR
TCR = Total Citations for References / ACR = Average Citations per Reference
We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more
Citations for references updated on 2022-08-10 20:09 in 82 seconds.
Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.