NDLI: Webcam-based system for video-oculography

Content Provider	IET Digital Library
Author	Naruniec, Jacek Wieczorek, Michał Szlufik, Stanisław Koziorowski, Dariusz Tomaszewski, Michał Kowalski, Marek Przybyszewski, Andrzej
Abstract	Video-oculography (VOG) is a tool providing diagnostic information about the progress of the diseases that cause regression of the vergence eye movements, such as Parkinson's disease (PD). The majority of the existing systems are based on sophisticated infra-red (IR) devices. In this study, the authors show that a webcam-based VOG system can provide similar accuracy to that of a head-mounted IR-based VOG system. They also prove that the authors’ iris localisation algorithm outperforms current state-of-the-art methods on the popular BioID dataset in terms of accuracy. The proposed system consists of a set of image processing algorithms: face detection, facial features localisation and iris localisation. They have performed examinations on patients suffering from PD using their system and a JAZZ-novo head-mounted device with IR sensor as reference. In the experiments, they have obtained a mean correlation of 0.841 between the results from their method and those from the JAZZ-novo. They have shown that the accuracy of their visual system is similar to the accuracy of IR head-mounted devices. In the future, they plan to extend their experiments to inexpensive high frame rate cameras which can potentially provide more diagnostic parameters.
Starting Page	173
Ending Page	180
Page Count	8
ISSN	17519632
Volume Number	11
e-ISSN	17519640
Issue Number	Issue 2, Mar (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cvi/11/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2016.0226
Journal	IET Computer Vision
Publisher Date	2016-10-25
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	BioID Dataset Biology And Medical Computing Biomedical Measurement And Imaging Camera Computer Vision And Image Processing Technique Disease Progress Diagnostic Information Diseases Electro-oculography Face Detection Facial Feature Localisation Feature Extraction Head-mounted IR-based VOG System Image Processing Image Recognition Infrared Detector IR Head-mounted Device IR Sensor Iris Localisation Iris Recognition JAZZ-novo Head-mounted Device Medical Image Processing Parkinson Disease PD PhotoDetector Physiological Optics Physiological Vision Vergence Eye Movement Regression Video-oculography Vision Defects Webcam-based VOG System
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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Webcam-based system for video-oculography

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