Share Email Print
cover

Proceedings Paper

Automatic emotional expression analysis from eye area
Author(s): Betül Akkoç; Ahmet Arslan
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

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. Fırst, 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.

Paper Details

Date Published: 14 February 2015
PDF: 5 pages
Proc. SPIE 9445, Seventh International Conference on Machine Vision (ICMV 2014), 944512 (14 February 2015); doi: 10.1117/12.2180875
Show Author Affiliations
Betül Akkoç, Selçuk Univ. (Turkey)
Ahmet Arslan, Selçuk Univ. (Turkey)


Published in SPIE Proceedings Vol. 9445:
Seventh International Conference on Machine Vision (ICMV 2014)
Antanas Verikas; Branislav Vuksanovic; Petia Radeva; Jianhong Zhou, Editor(s)

© SPIE. Terms of Use
Back to Top