The analysis of eye blinking pattern using high-frame-rate camera

Woon Hee Lee, Jong Mo Seo, Jeong-Min Hwang

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Abstract

The purpose of this study is to analyze eye blinking patterns using high-speed camera without additional instructions and illuminations. The experimental video clips are taken at 240 frames per second, which is twice the flickering rate of room light. The eye blinking sequences are segmented from the whole video clip after reducing noise and baseline wander. The shapes and positions of the upper eyelid in blinking sequences are evaluated by a polynomial curve fitting algorithm and visualized to the eyelid position graph. The graph made it easy to recognize the eye blinking patterns. In order to analyze patterns, eye blinking parameters are calculated, and an eye blinking cycle is divided into three phases as 'Closing phase', 'Closed phase', and 'Opening phase'. In the experiments with forty volunteers, proposed method can analyze eye blinking patterns qualitatively.

Original languageEnglish
Title of host publication2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Subtitle of host publicationSmarter Technology for a Healthier World, EMBC 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1509-1512
Number of pages4
ISBN (Electronic)9781509028092
DOIs
StatePublished - 13 Sep 2017
Event39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017 - Jeju Island, Korea, Republic of
Duration: 11 Jul 201715 Jul 2017

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)1557-170X

Other

Other39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017
CountryKorea, Republic of
CityJeju Island
Period11/07/1715/07/17

Fingerprint

Flickering
Blinking
High speed cameras
Curve fitting
Lighting
Cameras
Polynomials
Experiments
Eyelids
Surgical Instruments
Noise
Volunteers
Light

Cite this

Lee, W. H., Seo, J. M., & Hwang, J-M. (2017). The analysis of eye blinking pattern using high-frame-rate camera. In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings (pp. 1509-1512). [8037122] (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2017.8037122
Lee, Woon Hee ; Seo, Jong Mo ; Hwang, Jeong-Min. / The analysis of eye blinking pattern using high-frame-rate camera. 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1509-1512 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).
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abstract = "The purpose of this study is to analyze eye blinking patterns using high-speed camera without additional instructions and illuminations. The experimental video clips are taken at 240 frames per second, which is twice the flickering rate of room light. The eye blinking sequences are segmented from the whole video clip after reducing noise and baseline wander. The shapes and positions of the upper eyelid in blinking sequences are evaluated by a polynomial curve fitting algorithm and visualized to the eyelid position graph. The graph made it easy to recognize the eye blinking patterns. In order to analyze patterns, eye blinking parameters are calculated, and an eye blinking cycle is divided into three phases as 'Closing phase', 'Closed phase', and 'Opening phase'. In the experiments with forty volunteers, proposed method can analyze eye blinking patterns qualitatively.",
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Lee, WH, Seo, JM & Hwang, J-M 2017, The analysis of eye blinking pattern using high-frame-rate camera. in 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings., 8037122, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, Institute of Electrical and Electronics Engineers Inc., pp. 1509-1512, 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017, Jeju Island, Korea, Republic of, 11/07/17. https://doi.org/10.1109/EMBC.2017.8037122

The analysis of eye blinking pattern using high-frame-rate camera. / Lee, Woon Hee; Seo, Jong Mo; Hwang, Jeong-Min.

2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1509-1512 8037122 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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AB - The purpose of this study is to analyze eye blinking patterns using high-speed camera without additional instructions and illuminations. The experimental video clips are taken at 240 frames per second, which is twice the flickering rate of room light. The eye blinking sequences are segmented from the whole video clip after reducing noise and baseline wander. The shapes and positions of the upper eyelid in blinking sequences are evaluated by a polynomial curve fitting algorithm and visualized to the eyelid position graph. The graph made it easy to recognize the eye blinking patterns. In order to analyze patterns, eye blinking parameters are calculated, and an eye blinking cycle is divided into three phases as 'Closing phase', 'Closed phase', and 'Opening phase'. In the experiments with forty volunteers, proposed method can analyze eye blinking patterns qualitatively.

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Lee WH, Seo JM, Hwang J-M. The analysis of eye blinking pattern using high-frame-rate camera. In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1509-1512. 8037122. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). https://doi.org/10.1109/EMBC.2017.8037122