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Abstract
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| 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. | |
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International
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Si |
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JCR
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Si |
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Title
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Sensors (Basel) |
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ISBN
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1424-8220 |
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Impact factor JCR
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2,475 |
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Impact info
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Volume
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18 |
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10.3390/s18020522 |
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Journal number
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2 |
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From page
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522 |
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To page
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532 |
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Month
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FEBRERO |
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Ranking
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Q1 |