• The Transactions of The Korean Institute of Electrical Engineers
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• v.63 no.12
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• pp.1667-1670
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• 2014

This paper describes a method for detecting the pupil region and identification of the eye status for driver drowsiness detection system. This program detects a driver's face and eyes using viola-jones face detection algorithm and extracts the pupil area by utilizing mean values of each row and column on the eye area. The proposed method uses binary images and the number of black pixels to identify the eye status. Experimental results showed that the accuracy of classification eye status(open/close) was above 90%.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.919-921
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• 2022

매년 졸음운전이나 시선 부주의로 인한 운전자 부상 및 사망 사고 소식은 인터넷이나 뉴스등의 매체에 쉽게 접할 정도로 흔하고도 위험한 문제이다. 이를 해결하기 위해 OpenCv, Dlib를 활용하여 실시간으로 운전자의 상태를 촬영하여 눈의 크기, 고개 숙임 등을 감지하여 졸림, 시선 부주의 판단시에 알람을 통하여 운전자에게 경고를 주는 시스템을 개발하고자 한다.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.3
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• pp.387-392
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• 2014

Now a days, there are various application functions to transmit from vehicles to the Internet and vice versa. And the communication can be operated through a roadside infrastructure including with possible use of routing protocols. Specifically, autonomous vehicles for remote driving and monitoring requires transmitting of high depth of multimedia such as video. Especially in a populated urban area, an efficient network is vital because of handling a great amount of the data. Therefore, in this paper, efficient network topology for a crossroad in urban area is suggested by performance evaluation of vehicular networks using a wireless LAN and a routing protocol. For the performance evaluation, various vehicular network topologies are designed and simulated in OPNet simulator.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.3
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• pp.329-334
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• 2014

Recently, various electronic functions are developed for car drivers as the advent of electrical automobile. Especially, there are functions to examine for preventing drowsy or healthcare through monitoring brainwave(EEG) of drivers in real time. This function can be provided by transmitting driver's EEG, and the network function for transmission among cars or between car and road side infrastructure is a vital issue. Therefore, in this paper, to provide efficient routing protocol for transmitting EEG data at a cross road in an urban area, 5 different wireless communication network applied each routing protocol such as AODV, DSR, GRP, OLSR, and TORA is designed and simulated in the OPNet network simulator, then it is evaluated for the result.

• Journal of Convergence for Information Technology
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• v.11 no.10
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• pp.10-19
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• 2021

In this paper, we tried to derive characteristic parameters that reflect mental fatigue through EEG measurement and analysis. For this purpose, mental fatigue was induced through a resting state with eyes closed and performing subtraction operations in mental arithmetic for 30 minutes. Five subjects participated in the experiment, and all subjects were right-handed male students in university, with an average age of 25.5 years. Spectral analysis was performed on the EEG collected at the beginning and the end of the experiment to derive feature parameters reflecting mental fatigue. As a result of the analysis, the absolute power of the alpha band in the occipital lobe and the temporal lobe increased as the mental fatigue increased, while the relative power decreased. Also, the difference in power between resting state and task state showed that the relative power was larger than the absolute power. These results indicate that alpha relative power in the occipital lobe and temporal lobe is a feature parameter reflecting mental fatigue. The results of this study can be utilized as feature parameters for the development of an automated system for mental fatigue determination such as fatigue and drowsiness while driving.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.5
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• pp.134-143
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• 2017

In the case of highway, there may be a large number of travel time groups when there are a bus exclusive lane, a rest area, a sleeping shelter, etc. in the corresponding section. In most of the conventional travel time estimation studies, one representative travel time (assuming normal distribution) group is assumed in the low sample collection state, and if it is out of the specified range, it is determined as outliers and then the travel time is estimated. However, if there is a bus exclusive lane, a rest area, or a sleeping shelter in the relevant section, such as the highway, the distribution of travel time will be in the form of a bi-modal or a multi-modal, rather than a regular distribution. Therefore, applying the existing estimation methodology may result in distorted results. To solve this problem, first, it should be reliable even in the case of insufficient number of samples. Second, we propose a methodology to select the representative time group among a number of time groups and to estimate the representative time using individual time data of the selected time group.

• Sleep Medicine and Psychophysiology
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• v.19 no.2
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• pp.77-83
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• 2012

Objectives: Recent studies have reported a correlation between obstructive sleep apnea syndrome (OSA) and depression. In attempt to verify the suggestion that eveningness is related to depression, we examined the effect of morningness-eveningness on their depressive mood in patinets with OSA. Methods: The examination was based on the medical records and polysomnography reports of 211 OSA patients. Information was gathered from the patients who filled out the H$\ddot{o}$rne and Ostberg questionnaire (HOQ), profile of mood states-Korean version (K-POMS), and Epworth sleepiness scale (ESS). We compared mean values of K-POMS total, subscales of K-POMS, ESS, and OSA severity variables among the 3 morningness-eveningness groups (morningness, eveningness, and neither groups). Partial correlation analysis was performed between variables and ANCOVA was performed among the 3 groups after adjustment with age and weight. Results: There were significant negative correlations between HOQ and the followings : K-POMS total, POMS-T (tension-anxiety), POMS-D (depression-dejection), POMS-A (anger-hostility), POMS-F (fatigue-inertia), POMS-C (confusion-bewilderment), spontaneous arousal index, average O2 saturation. There were significant positive correlations between HOQ and the followings : POMS-V (vigor-activity), apnea-hypopnea index, respiratory arousal index, snore time. There were significant negative correlations between POMS-D and the followings : HOQ, POMS-V, stage 1 sleep (%), AHI, TAI (total arousal index), oxygen desaturation index, respiratory arousal index, neck circumference, average O2 desaturation, snore time (%). There were significant positive correlations between POMS-D and K-POMS total, POMS-T, POMS-A, POMS-F, POMS-C, sleep latency, stage 2 sleep (%), heart rate, spontaneous arousal index. There were significant differences in K-POMS total, POMS-T, POMS-D, POMS-F, POMS-C, spontaneous arousal index among the three HOQ groups in ANCOVA. Conclusion: The depressive correlates of OSA patients might be affected, not by excessive daytime sleepiness or OSA severity indexes, but by eveningness circadian characteristics. It would be important to take into account the morningness-eveningness tendency when we manage the depressive mood of OSA patients.

• Journal of IKEEE
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• v.18 no.3
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• pp.368-375
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• 2014

Brain computer interface(BCI) technology has been continuously developed due to the continuous development of interface technology and the promotion of brain wave research. In this paper, we propose a driving habit management system by adopting BCI to transportation. The proposed system consists of the electroencephalogram(EEG) measuring unit, the EEG analysis unit, the memory section for storing the state information of drivers, the speed controller unit and the alarming section for generating warnings. Our proposed system can reduce the drowsy driving, improve the driving habits of users and help to prevent traffic accidents.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.04a
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• pp.896-899
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• 2012

일반적으로 출생 후 1세 전후의 영유아들은 신체의 발달이 온전치 않아 수면중 질식사하는 영유아 돌연사증후군(SIDS)에 이를 수 있어, 보호자의 세심한 관심이 필요하다. 더욱이 보호자가 있더라도 오히려 더 높은 질식에 의한 사망률이 늘어나고 있다. 이를 위해서, 본 논문에서는 수면시 발생할 수 있는 질식사 방지를 위한 하드웨어 장치와 이와 연계된 스마트폰 앱(App) 시스템을 설계하고 구현한다. 제안된 시스템으로써 하드웨어 장치는 초음파 거리 센서(sonsor)를 이용하여 실시간으로 뒤집힘 여부의 정보를 수집하여 무선 통신을 통해 스마트폰 앱(App)에 전달한다. 또한 스마트폰 앱 시스템은 수집된 정보를 분석 판단하여, 비정상적인 상태의 영유아에 대해 긴급 경보와 긴급 전화를 자동 호출한다. 따라서 여러 위험에 노출되어 있는 영유아들의 수면중에 뒤척이다 엎드려 자는 경우, 호흡기를 막거나 가슴압박으로 인한 질식사를 미연에 방지한다. 향후, 본 논문에서 제안된 시스템은 졸음방지나 낙상방지시스템 같은 유비쿼터스 헬스케어(ubiquitous healthcare) 환경 구현에도 적용될 수 있다.

• Sleep Medicine and Psychophysiology
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• v.26 no.2
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• pp.111-124
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• 2019

Objectives: Healthy sleep is important and can have a positive effect on resilience. The aim of the present study was to compare the differences in resilience between two group nurses in rotating shift and daytime fixed work schedules and to investigate stress perception, coping factors, social and psychological health, and sleep factors that may affect resilience. Methods: A total of 400 female nurses having rotating shift and daytime fixed work schedules at two hospitals was surveyed from June 12, 2017 to June 12, 2018. All participants completed perceived stress scale (PSS), stress coping short form (Brief COPE), psycho-social wellbeing Index short form (PWI-SF) or general health questionnaire-18 (GHQ-18), center for epidemiologic studies depression scale (CES-D), STAI-X-1 in state-trait anxiety inventory (STAI), Pittsburgh sleep quality index (PSQI), Epworth sleepiness scale (ESS), insomnia severity index (ISI), Conner Davidson resilience scale (CD-RISC). Independent t-test, paired t-test, Pearson correlation analysis, and multiple regression analysis were applied to the results of the final 373 questionnaires of 400 nurses in two general hospitals. Results: Comparing the variable statistics between the two groups of rotating shift and daytime fixed work nurses, showed statistically significant differences in all variables except perceived stress, sleep quality, and daytime sleepiness. Factors that had a significant correlation with resilience were stress coping strategies, depression, and insomnia severity (p < 0.001). In multiple regression analysis, larger positive reframing1 (β = 0.206, p < 0.001), severe less depression (β = -3.45, p < 0.001), and higher psychosocial health (β = 0.193, p < 0.001). As acceptance coping2 increased (β = 0.129, p < 0.05), as daytime sleepiness decreased (β = -1.17, p < 0.05), and as active coping2 increased (β = 0.118, p < 0.05), as the positive reframing2 increases (β = 0.110, p < 0.05), the resilience increased. Conclusion: This study, it was found that resilience was higher in daytime fixed workers than in shift workers. In addition, specific stress coping strategies, psycho-social health, sleep, and depression factors were associated with resilience.