Automatic Emotional Expression Analysis from Eye Area

Küçük Resim Yok

Tarih

2015

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

Sayı

Künye