Automatic emotional expression analysis from lip shapes using artificial neural networks
Küçük Resim Yok
Tarih
2013
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, emotional expressions are automatically analyzed from lip form using artificial neural network. Firstly facial region and then mouth area were found for expressions analysis. After these steps, lip shape was found and the parameters that are used for the analysis were automatically obtained. Artificial neural network trained using these parameters. This network was used for expression analysis. Success rate of 86% is achieved for the seven classes mentioned (happiness, sadness, surprise, disgust, anger, fear and disdain) whereas a success rate of 97% is found when three classes (happiness, sadness and surprised) are used. © 2013 IEEE.
Açıklama
2013 21st Signal Processing and Communications Applications Conference, SIU 2013 -- 24 April 2013 through 26 April 2013 -- Haspolat -- 98109
Anahtar Kelimeler
Artificial neural networks, Emotional expression analysis, Image processing
Kaynak
2013 21st Signal Processing and Communications Applications Conference, SIU 2013
WoS Q Değeri
Scopus Q Değeri
N/A
