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dc.contributor.authorSeamone, Andrew
dc.contributor.authorShapiro, Jeremy N.
dc.contributor.authorZhao, Zhenyang
dc.contributor.authorAakalu, Vinay K.
dc.contributor.authorWaas, Anthony M.
dc.contributor.authorNelson, Christine
dc.date.accessioned2025-04-21T10:35:54Z
dc.date.available2025-04-21T10:35:54Z
dc.date.copyright11/27/2024 12:00:00 AM
dc.date.issued2024
dc.identifier.issn0148-0731
dc.identifier.otherbio_147_01_014503.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4306522
dc.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.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleEyelid Motion Tracking During Blinking Using High-Speed Imaging and Digital Image Correlation
dc.typeJournal Paper
dc.journal.volume147
dc.journal.issue1
dc.journal.titleJournal of Biomechanical Engineering
dc.identifier.doi10.1115/1.4067082
dc.journal.fristpage14503-1
dc.journal.lastpage14503-7
dc.page7
dc.treeJournal of Biomechanical Engineering:;2024:;volume( 147 ):;issue: 001
dc.contenttypeFulltext


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