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Sensors 2018, 18(2), 522; https://doi.org/10.3390/s18020522

OSCANN: Technical Characterization of a Novel Gaze Tracking Analyzer

1
Aura Innovative Robotics, 28045 Madrid, Spain
2
Centre for Robotics and Automation, UPM-CSIC, José Gutiérrez Abascal Street, 28006 Madrid, Spain
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Received: 4 December 2017 / Revised: 31 January 2018 / Accepted: 6 February 2018 / Published: 9 February 2018
(This article belongs to the Section Physical Sensors)
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Abstract

Eye-movement analysis has grown exponentially in recent decades. The reason is that abnormalities in oculomotor movements are usually symptoms of injuries in the nervous system. This paper presents a novel regulated solution named OSCANN. OSCANN aims at providing an innovative tool for the control, management and visualization of oculomotor neurological examinations. This solution utilizes an eye-tracker sensor based on video electro-oculography (VOG) technology to capture eye movements and store them in video files. Such a sensor can store images at a rate of 100 frames per second. A characterization study was performed using twenty-two volunteers (13 male, 9 female, ages 22–45 years, mean 29.3 years, SD = 6.7) to assess the accuracy and precision specifications of OSCANN during oculomotor movement analysis. The accuracy was evaluated based on the offset, whereas precision was estimated with Root Means Square (RMS). Such a study reported values lower than 0.4 and 0.03 of accuracy and precision, respectively. These results suggest that OSCANN can be considered as a powerful tool to measure oculomotor movement alterations involved in some neurological disease progression. View Full-Text
Keywords: eye-tracker; neurodegenerative diseases; medical sensor; video electro-oculography; oculomotor movements; clinical practice; early diagnosis eye-tracker; neurodegenerative diseases; medical sensor; video electro-oculography; oculomotor movements; clinical practice; early diagnosis
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Hernández, E.; Hernández, S.; Molina, D.; Acebrón, R.; García Cena, C.E. OSCANN: Technical Characterization of a Novel Gaze Tracking Analyzer. Sensors 2018, 18, 522.

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