Eyelid Motion Tracking During Blinking Using High-Speed Imaging and Digital Image CorrelationSource: Journal of Biomechanical Engineering:;2024:;volume( 147 ):;issue: 001::page 14503-1Author:Seamone, Andrew
,
Shapiro, Jeremy N.
,
Zhao, Zhenyang
,
Aakalu, Vinay K.
,
Waas, Anthony M.
,
Nelson, Christine
DOI: 10.1115/1.4067082Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This 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.
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contributor author | Seamone, Andrew | |
contributor author | Shapiro, Jeremy N. | |
contributor author | Zhao, Zhenyang | |
contributor author | Aakalu, Vinay K. | |
contributor author | Waas, Anthony M. | |
contributor author | Nelson, Christine | |
date accessioned | 2025-04-21T10:35:54Z | |
date available | 2025-04-21T10:35:54Z | |
date copyright | 11/27/2024 12:00:00 AM | |
date issued | 2024 | |
identifier issn | 0148-0731 | |
identifier other | bio_147_01_014503.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4306522 | |
description abstract | This 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. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Eyelid Motion Tracking During Blinking Using High-Speed Imaging and Digital Image Correlation | |
type | Journal Paper | |
journal volume | 147 | |
journal issue | 1 | |
journal title | Journal of Biomechanical Engineering | |
identifier doi | 10.1115/1.4067082 | |
journal fristpage | 14503-1 | |
journal lastpage | 14503-7 | |
page | 7 | |
tree | Journal of Biomechanical Engineering:;2024:;volume( 147 ):;issue: 001 | |
contenttype | Fulltext |