September 2016
Volume 57, Issue 12
Open Access
ARVO Annual Meeting Abstract  |   September 2016
Analysis of Eye Blinking by Camera with High Video Frame Rate
Author Affiliations & Notes
  • Jong-Mo Seo
    Ophthalmology, Seoul National University, Seoul,
    Electrical and Computer Engineering, Seoul National University, Seoul, Korea (the Republic of)
  • Woon Hee Lee
    Electrical and Computer Engineering, Seoul National University, Seoul, Korea (the Republic of)
  • Jeong-Min Hwang
    Ophthalmology, Seoul National University, Seoul,
    Ophthalmology, Seoul National University Bundang Hospital, Seongnam, Korea (the Republic of)
  • Footnotes
    Commercial Relationships   Jong-Mo Seo, None; Woon Hee Lee, None; Jeong-Min Hwang, None
  • Footnotes
    Support  This work was supported by Institute for Information & communications Technology Promotion(IITP) grant funded by the Korea government(MSIP) (No. B0101-15-1371, Research on Human Safety and Contents Quality Assessment for Realistic Broadcasting)
Investigative Ophthalmology & Visual Science September 2016, Vol.57, 1703. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to Subscribers Only
      Sign In or Create an Account ×
    • Get Citation

      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.

      Download citation file:


      © 2017 Association for Research in Vision and Ophthalmology.

      ×
  • Supplements
Abstract

Purpose : 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.

Methods : 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.

Results : 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.

Conclusions : 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.

×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×