• 제어로봇시스템학회:학술대회논문집
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• 1996.10b
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• pp.1340-1343
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• 1996

In this study, we developed the drowziness prevention system to detect the driver's drowziness and relieve the driver. A computer vision method was proposed to detect the driver's drowziness. We extracted the eyes and mouth in the face image and tracked the positions from the image sequencies in real time. The eye blink duration and yawning was used as the parameters of drowziness. Wehn the drowziness state of a driver is detected, the driver is refreshed by the scent generator and the alarm. Also, the driver's bio-signal is acquired and analysed the vigilance state.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.40 no.3
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• pp.111-116
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• 2014

Objectives: Dislocation of the temporomandibular joint may occur for various reasons. Although different invasive methods have been advocated for its treatment, this study highlights the value of non-invasive treatment options even in chronic cases in a resource-poor environment. Materials and Methods: A seven-year retrospective analysis of all patients managed for temporomandibular joint dislocation in our department was undertaken. Patient demographics, risk factors associated with temporomandibular joint dislocation and treatment modalities were retrieved from patient records. Results: In all, 26 patients were managed over a seven-year period. Males accounted for 62% of the patients, and yawning was the most frequent etiological factor. Conservative treatment methods were used successfully in 86.4% of the patients managed. Two (66.7%) of the three patients who needed surgical treatment developed complications, while only one (5.3%) patient who was managed conservatively developed complications. Conclusion: Temporomandibular joint dislocation appears to be associated with male sex, middle age, yawning, and low socio-economic status, although these observed relationships were not statistically significant. Non-invasive methods remain an effective treatment option in this environment in view of the low socio-economic status of the patients affected.

• Proceedings of the KOSOMBE Conference
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• v.1996 no.05
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• pp.56-59
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• 1996

The purpose of this study is to identify the cause of driver's drowsiness and to get information about driver's drowsiness from facial image using computer vision. We measured the driver's movements of a head and shoulders in the highway arid street. We also measured the eye blink duration and yawning duration of normal and drowsy drivers. from the results, we confirmed that the measurement of eye blink and yawning might be a way of drowsy detection.

• Journal of Biomedical Engineering Research
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• v.18 no.3
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• pp.315-323
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• 1997

Driving is a complex vigilance task that includes improper lookout, excessive speed and inattention. The primary objective of this research is to detect driver drowsiness so that the driver can be alerted to an impending traffic accident in performance. We developed the automatic detection and warning system during drowsy driving. A drowsiness detection system must be able to monitor driver status and detect the detrimental changes of a driver performance. Eyeblink has been found to be a reliable factor of drowsiness detection in earlier studies. As an additional parameter, we also considered the yawning which often occurs in a low vigilance state and predicts the drowsy state. We used a computer vision method to extract the eyeblink and yawning in the face image sequences. When the drowsy state was detected, the driver was refreshed by alarming device and menthol scent generator after deciding the warning level by fuzzy logic. For the evaluation of our system, we measured the physiological parameters such as EOG and EEG. The results indicated that it is possible to detect and alert the driver drowsiness temporarily or continuously by using our system.

• Proceedings of the KOSOMBE Conference
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• v.1996 no.11
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• pp.90-94
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• 1996

We studied the problem of driver's low vigilance state which is related to the one reason of traffic accidents. In this paper, we developed the drowsiness warning system for a drowsy driver. To extract the eyes and mouth from the driver's facial image in real time, a computer vision method was used. The eye blink duration and yawning were used as measurement parameters of drowsiness detection. When the drowsy state of a driver was detected, the driver was refreshed by the scent generator and the alarm. Also, the driver's bio-signal was acquired and analyzed to measure the vigilance state.

• Korean Medical Education Review
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• v.20 no.2
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• pp.112-117
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• 2018

Attending the operation room is an essential part of surgical clerkships. Syncope or presyncopal attacks in the operation room may negatively affect students' learning and career development. This study set out to identify the prevalence of syncope and presyncopal attacks in the operation room during medical students' surgical clerkships. Data from 420 medical students (303 men and 117 women) in their 3rd year of clerkship were collected between 2014 and 2017. An anonymous questionnaire was distributed to assess the prevalence and degree of syncope and presyncopal symptoms. A total of 27% of the respondents had experienced syncope or presyncopal symptoms, 49.6% of the female students and 18.8% of the male students (p<0.001). Fifty students (43.5%) had been attending as observers at the time of the syncopal attack, while 65 students (56.5%) had been participating as assistants. Thirty-four students (29.6%) had recently eaten at the time of the syncopal attack, while 81 students (70.4%) had not recently eaten. Prodromal symptoms included the urge to sit down (21.2%), sweating (19.3%), nausea (16.9%), a feeling of warmth (13.3%), darkened vision (12.6%), yawning (11.7%), palpitation (11.0%), ear fullness (10.2%), black spots in one's vision (7.6%), and hyperventilation (7.1%). This study showed the prevalence of syncope and presyncopal symptoms in the operation room during surgical clerkships. For students' safety and effective clerkship learning, thorough proactive education on syncopal attacks is required.

• Journal of the Korean Society of School Health
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• v.10 no.2
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• pp.169-178
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• 1997

In order to investigate the complaint rates of subjective fatigue symptoms and study the relationship between them and body type, health awareness in middle school students, we carried out a survey of 1,209 students (654 boy students and 555 girl students) at a middle school in Taejon City by a self-recorded questionnaire. The survey was conducted in June, 1997. The results obtained were as follows: 1. Among complaints of fatigue, "feel like lying down" was the highest, followed by "feel anxious about things", "feel drowsy", "yawning a lot", "eye strain" and "whole body feels tired" in descending order. 2. In the average weighted score of fatigue complaint, dullness and sleepiness (I) was the highest, followed by a difficulty in concentration (II) and bodily projection of fatigue (III) in descending order. Fatigue seems to create mental stress rather than physical burdens. 3. In the classification of body type based on the $R\ddot{o}hrer$ index, the obesity type (145 and above) was 11.0%, standard type (110~144) was 64.7% and leptosomic type (l09 and below) was 24.3%. Comparison between both sexes revealed that the rate of obesity and leptosomic types were significantly higher in boy students than in girl students. 4. In terms body type awareness, the statistics are the following: those who consider themselves to be standard type, 44.3%, slightly obese 24.5%, leptosomic, 23.5% and obese 7.8%. However, the level of obesity awareness was significantly higher in girl students than in boy students. 5. As for health awareness, 36.5% considered themselves healthy, 5.4% generally healthy and 10.1% a little unhealthy, but the level of unhealthy awareness was higher in girl students than in boy students. 6. In the relationship between body type and health awareness, most students thought that they were obese in spite of their standard body type. Also, many students who were obese and leptosomic tended to consider themselves to be a little unhealthy. 7. The more the students were obese or felt unhealthy, the more the average weighted score of fatigue complaints was high.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.6
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• pp.859-864
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• 2022

Drowsy driving, one of the biggest causes of traffic accidents every year, is accompanied by various factors. As a general method to check whether or not there is drowsiness, a method of identifying a driver's expression and driving pattern, and a method of analyzing bio-signals are being studied. This paper proposes a driver fatigue detection system using deep learning technology and bio-signal measurement technology. As the first step in the proposed method, deep learning is used to detect the driver's eye shape, yawning presence, and body movement to detect drowsiness. In the second stage, it was designed to increase the accuracy of the system by identifying the driver's fatigue state using the pulse wave signal and body temperature. As a result of the experiment, it was possible to reliably determine the driver's drowsiness and fatigue in real-time images.

• Cartoon and Animation Studies
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• s.37
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• pp.463-489
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• 2014

Virtually unanimous praise poured over him notwithstanding, critical discussions of Yeon Sang-ho's animation works largely remain amorphous. Except for scattered reviews, no serious work of engagement with his works has yet to exist. In seeking to fill this yawning void, this paper insists his works be treated as oeuvre. By analyzing the two animated features along with his shorts, I will show how radical Yeon's works remain vis-a-vis contemporary Korean society. At their narrative core, his works, I argue, revolve around the problem of solidarity, or lack thereof among the abjected people. In contradistinction to the critical common sense whereby the supposed continuity between the two works is casually bypassed, I insist on the peculiar ways in which both resonate with difference. Further, and perhaps more importantly, I will demonstrate how these otherwise merely thematic concerns are rendered formally in his animated works in terms of what I call "abyssal surface". Despite his allegedly "realistic" style, Yeon's works rather embody the utter lack/excess of trust among the abjected people as animation, i.e., ominously superficial surface beyond whose facade lurks abyssal lack/excess of mutual trust. Precisely in this double sense of the term, i.e., that thematically they touch on the roots of society, and, formally, those of animation as such, Yeon's animation works are radical.

• Journal of dental hygiene science
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• v.14 no.2
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• pp.207-213
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• 2014

How to eliminate health disparity to ensure health equity is one of major issues that are handled across the world. The purpose of this study was to examine any possible differences in self-rated oral health state according to socioeconomic status and the relationship between the two based on the data of the 5th National Health & Nutrition Examination Survey of 2010~2012. As for differences in self-rated oral health state according to sociodemographic characteristics, the women considered themselves to be in poorer oral health than the men. The older respondents found themselves to be in poorer oral health, and there was a tendency that the respondents who were less educated and whose household income was smaller rated their own health as worse. When a logistic regression analysis was made to determine influential factors for self-rated oral health status, the women perceived they were in better oral health than the men did, and the better-educated respondents were more likely to consider themselves healthier. Concerning disparities in self-rated health state according to income level, there were broader differences in that regard according to an increase of income. The findings of the study illustrated that there was oral health inequity according to social stratum. It's required to make a nationwide effort to promote national oral health, and appropriate support should especially be provided for disadvantaged people at the same time in order to get rid of the gap in oral health among different social classes, as there is a yawning gap between them and the other classes.