SET: a pupil detection method using sinusoidal approximation.

Javadi, Amir-Homayoun and Hakimi, Zahra and Barati, Morteza and Walsh, Vincent and Tcheang, Lili (2015) SET: a pupil detection method using sinusoidal approximation. Frontiers in neuroengineering, 8 . p. 4. ISSN 1662-6443. (doi:https://doi.org/10.3389/fneng.2015.00004) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
https://doi.org/10.3389/fneng.2015.00004

Abstract

Mobile eye-tracking in external environments remains challenging, despite recent advances in eye-tracking software and hardware engineering. Many current methods fail to deal with the vast range of outdoor lighting conditions and the speed at which these can change. This confines experiments to artificial environments where conditions must be tightly controlled. Additionally, the emergence of low-cost eye tracking devices calls for the development of analysis tools that enable non-technical researchers to process the output of their images. We have developed a fast and accurate method (known as "SET") that is suitable even for natural environments with uncontrolled, dynamic and even extreme lighting conditions. We compared the performance of SET with that of two open-source alternatives by processing two collections of eye images: images of natural outdoor scenes with extreme lighting variations ("Natural"); and images of less challenging indoor scenes ("CASIA-Iris-Thousand"). We show that SET excelled in outdoor conditions and was faster, without significant loss of accuracy, indoors. SET offers a low cost eye-tracking solution, delivering high performance even in challenging outdoor environments. It is offered through an open-source MATLAB toolkit as well as a dynamic-link library ("DLL"), which can be imported into many programming languages including C# and Visual Basic in Windows OS (www.eyegoeyetracker.co.uk).

Item Type: Article
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Divisions: Faculties > Social Sciences > School of Psychology > Cognitive Psychology
Depositing User: Amir-Homayoun Javadi
Date Deposited: 13 Dec 2015 13:39 UTC
Last Modified: 22 Apr 2016 11:59 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/53253 (The current URI for this page, for reference purposes)
Javadi, Amir-Homayoun: https://orcid.org/0000-0003-0569-6441
  • Depositors only (login required):