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contributor authorSeamone, Andrew
contributor authorShapiro, Jeremy N.
contributor authorZhao, Zhenyang
contributor authorAakalu, Vinay K.
contributor authorWaas, Anthony M.
contributor authorNelson, Christine
date accessioned2025-04-21T10:35:54Z
date available2025-04-21T10:35:54Z
date copyright11/27/2024 12:00:00 AM
date issued2024
identifier issn0148-0731
identifier otherbio_147_01_014503.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4306522
description abstractThis study presents a novel technique to measure the motion of the eyelid during blinking. High-speed imaging and digital image correlation (DIC) were employed to monitor the eyelid during blinking in a noninvasive manner. Both spontaneous and reflex blinks were studied. A black liquid eyeliner was used to generate a speckle pattern on the surface of the eyelid. Facet motion captured through a DIC analysis software generated kinematic data for each blink. Calculations using this dataset yielded information on the duration of the blink, eyelid displacements, and peak eyelid velocities. A consistent dataset quantified the difference between blink types and reinforced the repeatability of this DIC analysis method to measure the kinematics of blinking.
publisherThe American Society of Mechanical Engineers (ASME)
titleEyelid Motion Tracking During Blinking Using High-Speed Imaging and Digital Image Correlation
typeJournal Paper
journal volume147
journal issue1
journal titleJournal of Biomechanical Engineering
identifier doi10.1115/1.4067082
journal fristpage14503-1
journal lastpage14503-7
page7
treeJournal of Biomechanical Engineering:;2024:;volume( 147 ):;issue: 001
contenttypeFulltext


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