Next Article in Journal
Spectral Analysis and Sensitive Waveband Determination Based on Nitrogen Detection of Different Soil Types Using Near Infrared Sensors
Previous Article in Journal
Silver Eco-Solvent Ink for Reactive Printing of Polychromatic SERS and SPR Substrates
Open AccessArticle

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
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Sensors 2018, 18(2), 522; https://doi.org/10.3390/s18020522
Received: 4 December 2017 / Revised: 31 January 2018 / Accepted: 6 February 2018 / Published: 9 February 2018
(This article belongs to the Section Physical Sensors)
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
Show Figures

Figure 1

MDPI and ACS Style

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. https://doi.org/10.3390/s18020522

AMA Style

Hernández E, Hernández S, Molina D, Acebrón R, García Cena CE. OSCANN: Technical Characterization of a Novel Gaze Tracking Analyzer. Sensors. 2018; 18(2):522. https://doi.org/10.3390/s18020522

Chicago/Turabian Style

Hernández, Erik; Hernández, Santiago; Molina, David; Acebrón, Rafael; García Cena, Cecilia E. 2018. "OSCANN: Technical Characterization of a Novel Gaze Tracking Analyzer" Sensors 18, no. 2: 522. https://doi.org/10.3390/s18020522

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop