Automatic Emotional Expression Analysis from Eye Area
Küçük Resim Yok
Tarih
2015
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
SPIE-INT SOC OPTICAL ENGINEERING
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Eyes play an important role in expressing emotions in nonverbal communication. In the present study, emotional expression classification was performed based on the features that were automatically extracted from the eye area. First, the face area and the eye area were automatically extracted from the captured image. Afterwards, the parameters to be used for the analysis through discrete wavelet transformation were obtained from the eye area. Using these parameters, emotional expression analysis was performed through artificial intelligence techniques. As the result of the experimental studies, 6 universal emotions consisting of expressions of happiness, sadness, surprise, disgust, anger and fear were classified at a success rate of 84% using artificial neural networks.
Açıklama
7th International Conference on Machine Vision (ICMV) -- NOV 19-21, 2014 -- Milan, ITALY
Anahtar Kelimeler
artificial intelligence, emotional expression classification, image processing, discrete wavelet transformation
Kaynak
SEVENTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2014)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
Cilt
9445
