• Journal of the Ergonomics Society of Korea
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• v.4 no.1
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• pp.7-10
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• 1985

Eye blinking in case of three visual tasks is studied; wall hard-copy and color monitor. The eye blinking is checked by eye-status detector. The data observed are (1) the average number of eye blinking (2) the average time of eye blinking for three minutes in case of all three visual tasks. The results are as follows: (1) The average times (or numbers) of eye blinking are different among three tasks. (2) The average time (or number) of eye blinking of wall is different from hard-copy and color monitor tasks. (3) But the average time (or number) of eye blinking of hard-copy is not different from that of color monitor.

• Journal of the Institute of Convergence Signal Processing
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• v.18 no.2
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• pp.31-36
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• 2017

This study aims to develop an BCI speller utilizing eye-closed and double-blinking EEG based on asynchronous mechanism. The proposed system comprised a signal processing module and a graphical user interface (virtual keyboard-VK) with 26 English characters plus a special symbol. A detected "eye-closed" event induces the "select" command, whereas a "double-blinking" (DB) event functions the "undo" command. A three-class support vector machine (SVM) classifier involving EEG signal analysis of three groups of events ("eye-open"-idle state, "eye-closed", and "double -blinking") is proposed. The results showed that the proposed BCI could achieve an overall accuracy of 92.6% and a spelling rate of 5 letters/min on average. Overall, this study showed an improvement of accuracy and the spelling rate resulting from in the feasibility and reliability of implementing a real-world BCI speller.

• Journal of Electrical Engineering and Technology
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• v.13 no.2
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• pp.953-960
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• 2018

In recently, eye blink recognition, and face recognition are very popular and promising techniques. In some cases, people can use the photos and face masks to hack mobile security systems, so we propose an eye blinking detection, which finds eyes through the proportion of human face. The proposed method detects the movements of eyeball and the number of eye blinking to improve face recognition for screen unlock on the mobile devices. Experimental results show that our method is efficient and robust for the screen unlock on the mobile devices.

• Journal of Biomedical Engineering Research
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• v.28 no.4
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• pp.477-483
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• 2007

We have measured EOG and fMRI simultaneously to investigate whether eye movement (blinking mechanism) might influence functional magnetic resonance imaging (fMRI) signal response in the primary visual cortex. $T2^*-weighted$ Echo-Planar Imaging (EPI) with concurrent electrooculogram (EOG) was acquired in four subjects while they viewed a fixation point and a checkerboard with a flickering rate of 8Hz. With the help of EOG information we divided the experimental blocks into two different conditions: fixation and moving eye. We have compared the fMRI data of these two conditions. Our results have shown that there is no difference between these two conditions. This might suggest that eye blinking does not affect BOLD signal changes in the primary visual cortex. This means further that eye blinking can be ignored in data processing.

• Research in Community and Public Health Nursing
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• v.25 no.1
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• pp.12-23
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• 2014

Purpose: The purpose of this study is to investigate influence of cellular phone videos and games on dry eye syndrome in university students. Methods: A randomized comparison group pre-post design is used. Sixty university students were randomly assigned to either a video or a game group. Frequencies of blinking, dry eye symptoms scores and amounts of tears were measured. Thirty subjects watched cellular phone video programmes and the other 30 subjects played cellular phone games for 61 minutes. In addition, frequencies of blinking were measured three times during treatment, once immediately after a treatment and twice at an interval of 20 minutes after subsequent treatments. Results: Post-test scores of frequencies of blinking significantly decreased, dry eye symptoms scores including amounts of tears significantly increased greater than pre-test scores in both groups. But there were no significant differences between the groups. Frequencies of blinking were significantly different with respect to the time spent using cellular phone. In both groups, the lowest frequencies of blinking were shown after 40 minutes of cellular phone use. Conclusion: This study shows that using cellular phone has negative influence on dry eye syndrome and eyes require a resting period after cellular phone use over 40 minutes.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.05a
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• pp.801-804
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• 2008

During face recognition process, face detection process is most preceding process. However, face has very high floating property, so the result could be very different according to which method we used. This paper studies about eye detection and eye blinking verification using edge and color information from YCbCr distribution map, segmentation, and labeling methods.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.2
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• pp.223-229
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• 2008

In this paper. we propose the real-time vision system which judges drowsiness driving based on levels of drivers' fatigue. The proposed system is to prevent traffic accidents by warning the drowsiness and carelessness using face-image analysis and fuzzy logic algorithm. We find the face position and eye areas by using fuzzy skin filter and virtual face model in order to develop the real-time face detection algorithm, and we measure the eye blinking frequency and eye closure duration by using their informations. And then we propose the method for estimating the levels of drivel's fatigue based on measured data by using the fuzzy logic and for deciding whether drowsiness driving is or not. Finally, we show the effectiveness and feasibility of the proposed method through some experiments.

• Journal of Korea Entertainment Industry Association
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• v.14 no.6
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• pp.191-199
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• 2020

Younger generations use a variety of visual media, such as smartphones, televisions, and computers. Due to the development of visual media, the health of eye was weakening. Therefore, this study aimed to investigate the effects of eye health and dynamic visual activity on eye muscle stimulation with eye movement and therapeutic massage in university students. 38 university students in their 20s were divided into a control group(18) and an experimental group(20). The experimental group performed eye movement and therapeutic massage every 30 minutes for 5 times a week for 4 weeks. Ocular fatigue, maximal blinking interval, ocular surface temperature, and dynamic visual activity were measured before and after 4 weeks. Ocular fatigue was decreased significantly after 4 weeks (p<.05), and maximal blinking interval was increased significantly after 4 weeks (p<.05). Ocular surface temperature was not showed a significant difference after 4 weeks (p>.05), and dynamic visual activity was increased significantly after 4 weeks (p<.05). Therefore, eye movement and therapeutic massage are recommended for the improvement of eye function and eye health. It is expected to be used as research data to restore and prevent for eye health.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.57 no.12
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• pp.2281-2284
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• 2008

The purpose of this paper is to develope the drowsiness-drive perception system which judges drowsiness driving based on drivers' eye region using single vision system. To do this, first, we use the Haar-like feature and AdaBoost learning algorithm for detecting the features of the face region. And we measure the eye blinking frequency and eye closure duration from these feature data. And then, we propose the drowsiness-drive detection algorithm using the eye blinking frequency and eye closure duration. Finally, we have shown the effectiveness and feasibility of the proposed method through some experiments.

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