Comparison of fixation and saccades identification algorithms in the eye tracking recordings for medical diagnosis
Article Sidebar
Open full text
Published:
Sep 30, 2017
Issue Vol. 4 (2017)
Articles
-
Apache Hadoop, platform for the collection, processing and analysis of large data sets
Mateusz Gil70-75
-
Possibilities of using beacons in advertising
Konrad Łyda, Marek Miłosz76-81
-
Comparing the speed of the selected hash and encryption algorithms
Dawid Górniak, Piotr Kopniak82-86
-
Comparison of the security mechanisms of popular operating systems for mobile devices
Michał Buryta, Piotr Kopniak87-91
-
The concept, models and metrics of software quality – an overview
Yuliia Horobets, Marek Miłosz92-98
-
Comparison of fixation and saccades identification algorithms in the eye tracking recordings for medical diagnosis
Marcin Ignatiuk, Przemysław Antoni Pasieczny, Małgorzata Plechawska-Wójcik, Magdalena Borys99-103
-
The analysis of usage possibilities of the Moodle platform to execute the training process in an "Engineering of internal security systems" field of study at Lublin University of Technology
Sławomir Bronisz, Elżbieta Miłosz104-107
-
Personal data protection in terms of provisions of the Polish state and the authority of the General for Personal Data Protection
Damian Harasim108-111
-
Test-Driven Development as a tool to optimize the JEE programming
Grzegorz Sochacki, Beata Pańczyk112-116
-
Comparison of selected graphical web interface libraries used in JEE applications
Piotr Paweł Suwała, Beata Pańczyk117-121
-
Comparative analysis of support systems for interfaces prototyping
Artur Łasocha, Marek Miłosz122-127
-
Comparison Google’s and Yandex’s search algorithms
Oleh Bihun, Marek Miłosz128-130
-
Comparison of features and capabilities of modern Linux file systems ext4, XFS, Btrfs
Bartłomiej Kossak, Maciej Pańczyk131-136
-
The current software tools for the JEE platform
Paweł Ozdoba, Beata Pańczyk137-141
Main Article Content
DOI
Authors
Marcin Ignatiuk
Institute of Computer Science, Lublin University of Technology, Nadbystrzycka 36B, 20-618 Lublin, Poland, Poland
Przemysław Antoni Pasieczny
przemyslaw.piaseczny@pollub.edu.pl
Institute of Computer Science, Lublin University of Technology, Nadbystrzycka 36B, 20-618 Lublin, Poland, Poland
Małgorzata Plechawska-Wójcik
Institute of Computer Science, Lublin University of Technology, Nadbystrzycka 36B, 20-618 Lublin, Poland, Poland
Magdalena Borys
Institute of Computer Science, Lublin University of Technology, Nadbystrzycka 36B, 20-618 Lublin, Poland, Poland
Abstract
The article presents a comparative analysis of selected algorithms for eye movements identification. The analysis is based on a comparison of the classification of fixation and saccades using I-VT and I-DT algorithms. For the algorithms comparison the application that implementing the identification of eye tracking data has been developed. The results of the analysis are presented in the form of graphs.
Keywords:
Eye Tracking; I-VT; I-DT
References
[1] Krauzlis R.J. Eye movements. W: Squire L.R. (red.), „Fundamental neuroscience”, Wyd. 3. Elsevier, Amsterdam 2008.
[2] K. Jadanowski, Sławomir Budrewicz, Ewa Koziorowska -Gawron, „Zaburzenia gałkoruchowe w chorobach ośrodkowego układu nerwowego”, Polski Przegląd Neurologiczny 2010.
[3] User Manual — Tobii Studio Version 3.3.0 12/2014 Tobii Technology AB
[4] Peter R Jones, „A computational reassessment of noise in eyetracking data: Modelling phenomena and ephemer”.
[5] Salvucci D.D., Goldberg J.H., „Identifying fixations and saccades in eye-tracking protocols. Proceedings of the 2000 symposium on Eye tracking research & applications”, ACM 2000.
[6] Susan M.Munn Leanne Stefano Jeff B.Pelz, „Fixation - identification in dynamic scenes: comparing an automated algorithm to manual coding”.
[7] Larsson L., Nystrom M., Stridh M., „Detection of saccades and postsaccadic oscillations in the presence of smooth pursuit”, 2013.
[8] Lopez, J. S. A., „Off-the-shelf Gaze Interaction”, 2009.
[9] Van Rensbergen J., & De Troy A., „A reference guide for the Leuven dual-PC controlled Purkinje eyetracking system", Leuven, Belgium, 2015.
[10] http://eyetracking.pl/ [11.2016]
[2] K. Jadanowski, Sławomir Budrewicz, Ewa Koziorowska -Gawron, „Zaburzenia gałkoruchowe w chorobach ośrodkowego układu nerwowego”, Polski Przegląd Neurologiczny 2010.
[3] User Manual — Tobii Studio Version 3.3.0 12/2014 Tobii Technology AB
[4] Peter R Jones, „A computational reassessment of noise in eyetracking data: Modelling phenomena and ephemer”.
[5] Salvucci D.D., Goldberg J.H., „Identifying fixations and saccades in eye-tracking protocols. Proceedings of the 2000 symposium on Eye tracking research & applications”, ACM 2000.
[6] Susan M.Munn Leanne Stefano Jeff B.Pelz, „Fixation - identification in dynamic scenes: comparing an automated algorithm to manual coding”.
[7] Larsson L., Nystrom M., Stridh M., „Detection of saccades and postsaccadic oscillations in the presence of smooth pursuit”, 2013.
[8] Lopez, J. S. A., „Off-the-shelf Gaze Interaction”, 2009.
[9] Van Rensbergen J., & De Troy A., „A reference guide for the Leuven dual-PC controlled Purkinje eyetracking system", Leuven, Belgium, 2015.
[10] http://eyetracking.pl/ [11.2016]
Article Details
Ignatiuk, M., Pasieczny, . P. A., Plechawska-Wójcik, M., & Borys, M. (2017). Comparison of fixation and saccades identification algorithms in the eye tracking recordings for medical diagnosis. Journal of Computer Sciences Institute, 4, 99–103. https://doi.org/10.35784/jcsi.603
Abstract views: 358
License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
