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Yüz ifadelerinin otomatik analizi üzerine bir literatür çalışması

Yıl 2016, Cilt: 20 Sayı: 2, 383 - 398, 01.08.2016
https://doi.org/10.16984/saufenbilder.92940

Öz

Yüz ifadeleri, duygulara kişilerarası iletişimde anlam bütünlüğü kazandıran evrensel işaretlerdir. Aynı zamanda yüz ifadelerindeki değişimler, duygu psikolojisinde en önemli ipuçları olarak kabul edilmektedir. Yüz ifade analizinin; insan davranışlarının analizi, insan-insan etkileşimi ve insan-bilgisayar etkileşimi gibi çok geniş bir uygulama yelpazesi vardır. İnsanlar yüz ifadelerini tanımada ve yorumlamada herhangi bir sorun yaşamazken bu işlem bilgisayarlarda zorlu bir problem olarak karşımıza çıkmaktadır. Fakat özellikle insan-bilgisayar etkileşiminde yaşanan gelişmelerle birlikte, insanlara ait duyguların bilgisayarlar tarafından anlaşılması elzem bir konu haline gelmiştir. Bunun yanında güvenlik, psikoloji, sağlık, robotik ve sanal gerçeklilik gibi birçok çalışma alanında da yüz ifadelerinin analizi ve tanıması giderek yaygınlaşmıştır. Bu nedenlerden dolayı, yüz ifadelerinin hızlı bir şekilde analiz edilmesi ve analiz edilen yüz ifadelerinin doğru olarak tanınması farklı uygulama alanlarında birçok yazılım sistemi için kritik bir rol oynamaktadır. Bu çalışmada, yüz ifadelerinin tanıması ile ilgili literatürde yapılan çalışmalar incelenmiş ve yüz ifadelerinin analizinde kullanılan bazı yöntemlere yer verilmiştir.

Kaynakça

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A survey on automatic analysis of facial expressions

Yıl 2016, Cilt: 20 Sayı: 2, 383 - 398, 01.08.2016
https://doi.org/10.16984/saufenbilder.92940

Öz

Facial expressions are universal symbols of emotions that provide cohesion to interpersonal communication. At the same time, the changes in facial expressions are considered to be the most important hints in the psychology of emotion. Facial expression analysis has widespread range of application in areas such as analysis of human behaviors, human-human interaction and human-computer interaction. While humans do not have any difficulty for recognizing and interpreting facial expressions, it is challenging problem for the computers. However, especially with advances in human-computer interaction, understanding the human emotions by computer has become an indispensable issue. Furthermore, analysis and recognition of facial expressions has pervaded in various areas such as security, psychology, health, robotics and virtual reality. For these reasons, the analyzing of facial expressions quickly and the recognition of facial expressions correctly according to the analyzed facial expressions play a critical role for many software systems in different applications. In this study, the methods used in the analysis of facial expressions and the studies in the literature on emotion recognition were investigated.

Kaynakça

  • C. Darwin, Expression of the Emotions in Man and Animals, London: John Murray, 1872.
  • A. Mehriban, «Communication without Words,» Psychology Today, cilt 2, no. 4, pp. 53-56, 1968.
  • P. Ekman ve W. V. Friesen, «Constants Across Cultures in the Face and Emotion,» Journal of Personality and Social Psychology, cilt 17, no. 2, pp. 124-129, 1971.
  • P. Ekman, «Universals and Cultural Differences in Facial Expressions of Emotion,» Nebraska Symposium on Motivation , Lincoln, 1972.
  • M. Suwa, N. Sugie ve K. Fujimora, «A Preliminary Note on Pattern Recognition of Human Emotional Expression,» Proceedings of the Fourth International Joint Conference on Pattern Recognition, Kyoto, 1978.
  • B. Fasel ve J. Luettin, «Automatic Facial Expression Analysis: A Survey,» Pattern Recognition, cilt 36, pp. 259-275, 2003.
  • J. Kumaria, R. Rajesh ve K. Poojaa, «Facial Expression Recognition: A survey,» Second International Symposium on Computer Vision and the Internet (VisionNet’15), Kochi, 2015.
  • S. K. Gupta, S. Agrwal, Y. K. M. ve N. Nain, «A Hybrid Method of Feature Extraction for Facial Expression Recognition,» Seventh International Conference on Signal Image Technology & Internet-Based Systems, Dijon, 2011.
  • L. Zhang, S. Chen, T. Wang ve Z. Liu, «Automatic Facial Expression Recognition Based on Hybrid Features,» International Conference on Future Electrical Power and Energy Systems, 2012.
  • W. Gaebel ve W. Wölwer, «Facial Expression and Emotional Face Recognition in Schizophrenia and Depression,» European Archives of Psychiatry and Clinical Neuroscience, cilt 242, no. 1, pp. 46-52, 1992.
  • M. K. Mandal, R. Pandey ve A. B. Prasad, «Facial Expressions of Emotions and Schizophrenia: A Review,» chizophrenia Bulletin, cilt 24, no. 3, pp. 399-412, 1998.
  • C. Alvino, C. Kohler, F. Barrett, R. E. Gur, R. C. Gur ve R. Verma, «Computerized Measurement of Facial Expression of Emotions in Schizophrenia,» Journal of Neuroscience Methods, cilt 163, no. 2, pp. 350-361, 2007.
  • A. Butalia, M. Ingle ve P. Kulkarni, «Facial Expression Recognition for Security,» International Journal of Modern Engineering Research (IJMER), cilt 2, no. 4, pp. 1449-1453, 2012.
  • A. A. M. Al-modwahi, O. Sebetela, L. N. Batleng, B. Parhizkar ve A. H. Lashkari, «Facial Expression Recognition Intelligent Security System for Real Time Surveillance,» International Conference on Computer Graphics and Virtual Reality, Las Vegas Nevada, 2012.
  • G. Lu, L. Yuan, X. Li ve H. Li, «Facial Expression Recognition of Pain in Neonates,» International Conference on Computer Science and Software Engineering, Wuhan, 2008.
  • G. Lu, X. Li ve H. Li, «Facial expression recognition for neonatal pain assessment,» International Conference on Neural Networks and Signal Processing, Nanjing, 2008.
  • S. Hachisuka, «Human and Vehicle Drowsiness Detection by Facial Expression,» International Conference on Biometrics and Kansei Engineering (ICBAKE), Tokyo, 2013.
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  • A. Dureha, «An Accurate Algorithm for Generating a Music Playlist based on Facial Expressions,» International Journal of Computer Applications, cilt 100, no. 9, pp. 33-39, 2014.
  • H. Kabani, S. Khan, O. Khan ve S. Tadvi, «Emotion Based Music Player,» International Journal of Engineering Research and General Science, cilt 3, no. 1, pp. 750-756, 2015.
  • P. Ekman ve W. V. Friesen, «Facial Action Coding System: A Technique for the Measurement of Facial Movement,» Consulting Psychology Press., 1978.
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  • N. Tsapatsoulis, M. Leonidou ve S. Kollias, «Facial Expression Recognition using HMM with Observation Dependent Transition Matrix,,» IEEE Second Workshop on Multimedia Signal Processing, Redondo Beach, 1998.
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  • L. C. D. Silva ve S. C. Hui, «Real-time Facial Feature Extraction and Emotion Recognition,» Fourth Pacific Rim Conference on Multimedia, Information, Communications and Signal Processing, Singapore, 2003.
  • X. Feng, M. Pietikäinen ve A. Hadid, «Facial Expression Recognition Based on Local Binary Patterns and Linear Programming,» Pattern Recognition and Image Analysis, cilt 15, no. 2, p. 546–548, 2005.
  • S. M. Lajevardi ve M. Lech, «Facial Expression Recognition from Image Sequences Using Optimized Feature Selection,» 23rd International Conference Image and Vision Computing (IVCNZ), New Zealand, 2008.
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Toplam 91 adet kaynakça vardır.

Ayrıntılar

Konular Mühendislik
Bölüm Araştırma Makalesi
Yazarlar

Sümeyye Bayrakdar

Devrim Akgün

İbrahim Yücedağ

Yayımlanma Tarihi 1 Ağustos 2016
Gönderilme Tarihi 21 Kasım 2015
Kabul Tarihi 13 Haziran 2016
Yayımlandığı Sayı Yıl 2016 Cilt: 20 Sayı: 2

Kaynak Göster

APA Bayrakdar, S., Akgün, D., & Yücedağ, İ. (2016). Yüz ifadelerinin otomatik analizi üzerine bir literatür çalışması. Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 20(2), 383-398. https://doi.org/10.16984/saufenbilder.92940
AMA Bayrakdar S, Akgün D, Yücedağ İ. Yüz ifadelerinin otomatik analizi üzerine bir literatür çalışması. SAUJS. Ağustos 2016;20(2):383-398. doi:10.16984/saufenbilder.92940
Chicago Bayrakdar, Sümeyye, Devrim Akgün, ve İbrahim Yücedağ. “Yüz Ifadelerinin Otomatik Analizi üzerine Bir literatür çalışması”. Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi 20, sy. 2 (Ağustos 2016): 383-98. https://doi.org/10.16984/saufenbilder.92940.
EndNote Bayrakdar S, Akgün D, Yücedağ İ (01 Ağustos 2016) Yüz ifadelerinin otomatik analizi üzerine bir literatür çalışması. Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi 20 2 383–398.
IEEE S. Bayrakdar, D. Akgün, ve İ. Yücedağ, “Yüz ifadelerinin otomatik analizi üzerine bir literatür çalışması”, SAUJS, c. 20, sy. 2, ss. 383–398, 2016, doi: 10.16984/saufenbilder.92940.
ISNAD Bayrakdar, Sümeyye vd. “Yüz Ifadelerinin Otomatik Analizi üzerine Bir literatür çalışması”. Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi 20/2 (Ağustos 2016), 383-398. https://doi.org/10.16984/saufenbilder.92940.
JAMA Bayrakdar S, Akgün D, Yücedağ İ. Yüz ifadelerinin otomatik analizi üzerine bir literatür çalışması. SAUJS. 2016;20:383–398.
MLA Bayrakdar, Sümeyye vd. “Yüz Ifadelerinin Otomatik Analizi üzerine Bir literatür çalışması”. Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, c. 20, sy. 2, 2016, ss. 383-98, doi:10.16984/saufenbilder.92940.
Vancouver Bayrakdar S, Akgün D, Yücedağ İ. Yüz ifadelerinin otomatik analizi üzerine bir literatür çalışması. SAUJS. 2016;20(2):383-98.

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