OSCANN: Technical Characterization of a Novel Gaze Tracking Analyzer

• Published in: Sensors (Basel, Switzerland) Vol. 18; no. 2; p. 522
• Main Authors: Hernández, Erik, Hernández, Santiago, Molina, David, Acebrón, Rafael, García Cena, Cecilia E
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 09-02-2018; MDPI
• Subjects: Abnormalities; Accuracy; clinical practice; early diagnosis; Eye injuries; Eye movements; eye-tracker; Frames per second; medical sensor; Nervous system; neurodegenerative diseases; oculomotor movements; video electro-oculography; early diagnosis; oculomotor movements; neurodegenerative diseases; medical sensor; clinical practice; eye-tracker; video electro-oculography
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s18020522

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.