• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.10 no.2
• /
• pp.94-102
• /
• 2011

In this paper, a novel drowsiness detection algorithm using eye-blink pattern is proposed. The proposed drowsiness detection model using finite automata makes it easy to detect eye-blink, drowsiness and sleep by checking the number of input symbols standing for closed eye state only. Also it increases the accuracy by taking vertical projection histogram after locating the eye region using the feature of horizontal projection histogram, and minimizes the external effects such as eyebrows or black-framed glasses. Experimental results in eye-blinks detection using the JZU eye-blink database show that our approach achieves more than 93% precision and high performance.

• Korean Journal of Biological Psychiatry
• /
• v.19 no.1
• /
• pp.17-28
• /
• 2012

The primary purpose of this review is to present an overview of relationship between human spontaneous eyeblinking and internal cognitive processes. The second purpose is to address the neural substrates of human eyeblinking based on recent studies focusing on the central dopaminergic system and to explore the significance of spontaneous eyeblinks in neuropsychiatric disorders. We reviewed recent and previous studies on eyeblink patterns under various cognitive tasks. We also reviewed neural substrates of eyeblinking, particularly based on the central dopaminergic system. This paper suggests that spontaneous eyeblinks are highly correlated with various cognitive processes and the activity of central dopaminergic system. Various neuropsychiatric disorders are related to the alteration of the occurrence of eyeblinking. Spontaneous eyeblinking is the unique human behavior that occurs regularly without conscious effort. It is known that the rate of eyeblinking is modulated by internal cognitive processes and dopamine-related neuropsychiatric disorders. Further research is required to how the temporal dynamics of spontaneous eyeblinking is correlated with the disease activity and progression.

• The Journal of the Korea Contents Association
• /
• v.14 no.10
• /
• pp.463-471
• /
• 2014

In this paper, emotion classification was performed by using four ocular features extracted from near-infrared camera image. According to comparing with previous work, the proposed method used more ocular features and each feature was validated as significant one in terms of emotion classification. To minimize side effects on ocular features caused by using visual stimuli, auditory stimuli for causing two opposite emotion pairs such as "positive-negative" and "arousal-relaxation" were used. As four features for emotion classification, pupil size, pupil accommodation rate, blink frequency, and eye cloased duration were adopted which could be automatically extracted by using lab-made image processing software. At result, pupil accommodation rate and blink frequency were statistically significant features for classification arousal-relaxation. Also, eye closed duration was the most significant feature for classification positive-negative.

• Journal of The Korean Ophthalmological Society
• /
• v.58 no.6
• /
• pp.706-711
• /
• 2017

Purpose: To analyze blinking patterns when watching an ultra-high definition (UHD) television and to compare the results between normal eyes and dry eyes. Methods: A total of 59 participants aged from 13 to 69 years were instructed to watch a colorful and dynamic video on a UHD television for 10 minutes. Before and after watching the UHD television, we measured the best corrected visual acuities, autorefraction, tear-break-up-time, degree of corneal erosion and conjunctival hyperemia via slit lamp biomicroscopy. In addition, questionnaires for the evaluation of eye fatigue and symptoms of a dry eye were completed. The definition of dry eye syndrome was that the tear-break-up-time of one of the eyes was less than 5 seconds, conjunctival injection, or marked corneal erosion. The number of blinks and the duration of blinking were both measured and analyzed at the early and late phases of video-watching. Results: After watching the UHD television in the normal eye group, the tear-break-up-time was significantly decreased (p < 0.001) and the degree of corneal erosion was significantly increased (p = 0.023). However, the subjective symptoms of participants were not aggravated (p = 0.080). There were no significant differences in blinking patterns in the dry eye group. On the other hand, in the normal eye group, the mean blinking time was significantly increased (p = 0.030). Conclusions: Watching an UHD television changes the tear-break-up-time, degree of corneal erosion, and blinking pattern in normal eyes, which may increase the risk of dry eye syndrome.

• Journal of Biomedical Engineering Research
• /
• v.18 no.4
• /
• pp.485-491
• /
• 1997

This paper describes the relationship between skin impedance signal, behavioral signal, and subjective evaluation depending on arousal level. Nz and reaction time had similar trend with mKSS level, but eyeblink rate was different from these two parameters. eye-blink rate increased slowly from mKSS level 1 to 5, and had high increasing rate at mKSS 7. But it showed steep descent at mKSS level 9. Each subject showed different eye-blink rates, but changing rates of EBR was similar at eachm KSS level. Therefore it suggests that rising rate of EBR can be used arousal level criterion. From the result of reaction time test. human performance was decreased rapidly above the mKSS level 5, and false positive and false negative data was observed above the mKSS level 3. It is desirable to give a subject some stimuli such as sound or aroma to rise arousal level between mKSS level 3 and mKSS level 5.

• The Journal of the Korea Contents Association
• /
• v.18 no.8
• /
• pp.18-26
• /
• 2018

This study aimed to examine whether there was difference on visual fatigue between active seniors and young people, and to provide a guideline for appropriate computer use time for seniors. Blinking rate, maximal blinking interval, temperature of the ocular surface, visual fatigue questionnare were evaluated. The blinking rate, ocular surface temperature, visual fatigue showed significant change before and after the tasks. There was no difference between the two groups and thus, about 30-minute computer work appeared to be appropriate for seniors.

• Proceedings of the Korean Institute of Communication Sciences Conference
• /
• 2004.11a
• /
• pp.111-111
• /
• 2004

• Journal of Internet Computing and Services
• /
• v.18 no.1
• /
• pp.21-26
• /
• 2017

In this paper, an USB-OTG (Uiversal Serial Bus On-the-go) interface module was designed with the iris information for personal identification. The image recognition algorithm which was searching face and iris areas, was proposed with pixel differences from eye blinking after several facial images were captured and then detected without any activities like as pressing the button of smart phone. The region of pupil and iris could be fast involved with the proper iris area segmentation from the pixel value calculation of frame difference among the images which were detected with two adjacent open-eye and close-eye pictures. This proposed iris recognition could be fast processed with the proper grid size of the eye region, and designed with the frame difference between the adjacent images from the USB-OTG interface with this camera module with the restrict of searching area in face and iris location. As a result, the detection time of iris location can be reduced, and this module can be expected with eliminating the standby time of eye-open.

• Proceedings of the Korea Multimedia Society Conference
• /
• 2004.05a
• /
• pp.203-206
• /
• 2004

본 논문에서는 다양하고 실재적인 조명과 얼굴방향에 관계없이 원활하게 실시간으로 눈을 추적하는 방법을 제안하고자 한다. 기존의 능동적 적외선 조명을 이용한 대다수의 눈 추적장치들은 밝은 동공효과를 이용하고 있다. 그러나, 눈 깜박임, 외부 조명 간섭과 같은 여러 가지 요소로 인하여 동공들이 충분하게 밝게 나타나지 않는 경우가 많이 있다. 그러므로, 본 논문에서는 능동적 적외선 조명을 기반으로 한 칼만 필터링을 이용한 객체 추적 방법과 전형적인 외관을 기반으로 객체 인식 방법을 결합함으로써, 외부 조명의 간섭으로 밝은 동공 효과가 나타나지 않는 경우에도 견실하게 눈을 검출하고 추적 할 수 있는 방법을 제안한다. 눈 검출과 추적을 위해 SVM과 평균 이동 추적 방법을 사용하였고, 적외선 조명과 카메라를 포함한 영상 획득 장치를 구성하여 기존의 방법과 비교 실험한 결과 제안된 방법은 일부 피검자의 경우 100% 완벽하게 눈 추적을 할 수 있음을 보여 주었다.

• Proceedings of the Korean Information Science Society Conference
• /
• 2003.04c
• /
• pp.328-330
• /
• 2003

홍채 인식 시스템의 성능향상을 위해서는 전처리 단계에서 위조된 데이터나 잡음이 섞인 데이터를 걸러내는 과정이 매우 중요하다. 이 논문에서는, 강인한 홍채 인식 시스템을 위해서 두 단계로 이루어진 눈 영상 검사 알고리즘을 제안한다. 알고리즘의 첫 번째 단계에서는 동공 반지름과 눈꺼풀 움직임 변화량의 상관계수(coefficient)와 2차원 고속 퓨리에 변환(Fast Fourier Transform) 스펙트럼을 이용해 위조된 데이터를 찾아낸다. 두 번째 단계에서는 눈 영상에 눈 깜박임이나 속눈썹의 홍채영역 침범, 홍채 영상이 부분적으로 잘렸을 경우 등의 시스템의 성능저하의 원인이 되는 부적절한 데이터를 찾아낸다. 111영의 1734개의 눈 영상을 대상으로 실험한 결과, 제안된 알고리즘의 성공률은 96.5%였고 이러한 전처리 과정을 통해서 전체적인 시스템의 정확률을 향상시킬 수 있다.