Automatic detection of gaze direction for NLP applications

Author

Vranceanu, Ruxandra ; Florea, Catalin ; Florea, Laura ; Vertan, Constantin

Author_Institution

Image Process. & Anal. Lab., Univ. “Politeh.” of Bucharest, Bucharest, Romania

fYear

2013

fDate

11-12 July 2013

Firstpage

1

Lastpage

4

Abstract

This paper proposes a solution for detecting the Eye Accessing Cue (EAC) model used in Neuro-Linguistic Programming based on the position of the eye center inside the bounding box of the eye. The eye points are determined using an iris center detection method based on the curvature of the isophote and a facial points detection method based on graph models. The distribution of luminance is analyzed inside the bounding box and added as an extra feature to increase the detection rate. This paper also introduces a new database with manual markings used for testing the EAC detection as generated by various classifiers.

Keywords

brightness; computational linguistics; eye; face recognition; image classification; iris recognition; neurophysiology; psychology; EAC model detection rate; NLP applications; automatic gaze direction detection; classifiers; eye accessing cue model detection; eye bounding box; eye center position; eye points; facial point detection method; graph models; iris center detection method; isophote curvature; luminance distribution analysis; neuro-linguistic programming; Accuracy; Databases; Face; Feature extraction; Iris; Manuals; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Circuits and Systems (ISSCS), 2013 International Symposium on

Conference_Location

Iasi

Print_ISBN

978-1-4799-3193-4

Type

conf

DOI

10.1109/ISSCS.2013.6651198

Filename

6651198