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Jong-Mo Seo, Woon Hee Lee, Jeong-Min Hwang; Analysis of Eye Blinking by Camera with High Video Frame Rate. Invest. Ophthalmol. Vis. Sci. 2016;57(12):1703.
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© ARVO (1962-2015); The Authors (2016-present)
We developed a new method for analyzing eye blinking pattern using high video frame rate camera without a headrest and additional illuminations other than room light.
Video clips of the area around an eye with a rectangular-shaped marker (0.5 cm x 1.27 cm) attached under the eye were taken at 240 frames per second. Eye blinking sequences were extracted from the whole video clip and images were aligned by the marker. Shapes and positions of upper eyelid were detected and visualized in three-dimensional graph to be understood easily. Eye blinking cycle was divided into three phases such as ‘Closing phase’, ‘Closed phase’, and ‘Opening phase’ and characteristics of eye blinking were analyzed.
Parameters of eye blinking were calculated by analyzing the intensity profile of binary images, and eye blinking patterns were analyzed according to the change of the eyelid position. Three-dimensional graph was successfully generated for the evaluation of the eyelid excursion during blinking. Eye blinking patterns could be classified by blinking parameters and eyelid position graph as complete blinking and imcomplete blinking, and incomplete blinking could be investigated according to their characteristics such as consecutive incomplete blinking, forceful blinking, and so on.
Proposed method could be an useful method in investigating eye blinking objectively.
This is an abstract that was submitted for the 2016 ARVO Annual Meeting, held in Seattle, Wash., May 1-5, 2016.
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