• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.1540-1543
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• 2013

최근 자동차 관련 연구 분야 중 안전사고 예방에 대한 관심이 높아짐에 따라 안전지능형 기술들의 연구가 활발히 이루어지고 있다. 졸음운전과 같이 운전자의 의지와 상관없는 무의식적인 차선 이탈은 중앙선 침범으로 이어져 대형 사고를 유발할 가능성이 크다. 이와 같은 요인들은 의식적인 상황에서의 차량의 통제를 방해하고 결국 예기치 않은 차선 이탈로 연결될 수 있다. 따라서 본 논문에서는 차선 이탈 여부를 미리 판단하여 주행차선을 이탈하기 전에 운전자게에 알려줌으로써 운전자의 안전을 향상 시켜주며 자동차 안전사고 예방기술에 관련하여 차선검출과 차선이탈경고시스템 알고리즘을 설계하였다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2013.10a
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• pp.80-82
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• 2013

해상 물동량의 증가에 따라 선박들이 점차 대형화 되어 가고 있고 선박의 수 또한 지속적으로 늘어나고 있다. 이러한 현상은 곧 해양사고의 증가로 이어지고 있는데 이 중 인적과실에 의한 해양사고가 대부분의 원인으로 밝혀져 있다. 인적과실 중 항해나 당직근무 중 졸음에 의한 사고가 빈번한데 이를 방지하기 위하여 IMO(international maritime organization, 국제해사기구)에서는 선교 항해당직 경보시스템의 의무탑재를 시행하고 있다. 하지만 현행의 선교 항해당직 경보시스템은 재설정 방식에 따른 불편함 때문에 항해사들의 불만이 제기되고 있어 이에 대한 해소책으로 IMO에서는 모션센서를 선교 항해당직 경보시스템에 도입할 것을 권고하고 있다. 그러나 이 모션센서의 탐지기술이나 동작원리는 처음 육상용 화재경보시스템 혹은 보안시스템용으로 개발 및 제작되어진 것이므로 이를 특수한 조건인 선박의 항해당직에 적용할 때 야기될 수 있는 문제점이나 고려사항등을 검토해 볼 필요가 있다. 이 논문에서는 이 모션센서의 선교에서의 이상적인 구성, 필요한 기능, 적확한 작동여부, 모션센서와 압력센서나 음성인식센서와 같은 다른 수단과의 병용 등을 고려하여 모션센서의 최적기능 확보를 위한 성능기준을 제시하고자 한다.

• Journal of Sensor Science and Technology
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• v.5 no.3
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• pp.55-64
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• 1996

To control arousal level using physiological index, electrodermal activity signal was detected and separated into skin impedance level and response. Arousal state decision and control algorithm was studied to implement and evaluate real time portable arousal control system. The implemented system can detect and control arousal state from initial drowsy state. This system will be applicable to the evaluation of the effect of warning signal, driver's drowsy detecting system, and sleep study.

• 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.845-847
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• 2022

교통사고의 원인 중 90%는 졸음운전과 같은 운전자의 부주의 때문에 발생하고 있다. 정부에서도 사고로 인한 인명피해 심각성을 인지하고 2019년부터 전방충돌방지 시스템과 차선이탈 경고 장치 등 ADAS(Advanced Driver Assistance Systems)를 의무적으로 적용하도록 규제를 강화하는 추세이다. 충돌사고를 예방하기 위해 본 논문에서는 영상처리를 기반으로 하여 객체 검출, 차간거리 측정, 후미등 검출, 차선 검출 기능을 적용하여 위험한 상황을 감지하고 운전자에게 경고 알림을 제공하는 System을 개발한다. 더 나아가 다양한 모빌리티 서비스에 이를 활용할 수 있는 방안을 제공한다.

• 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.

• Journal of Korea Society of Industrial Information Systems
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• v.12 no.4
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• pp.164-168
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• 2007

In this paper, we propose the eye detection algorithms which can apply to the Real-Time Embedded systems. To detect the eye region, the feature vectors are obtained at the first step and then, PCA(Principal Component Analysis) and amplitude projection method is applied to composite the feature vectors. In the decision state, the estimated probability density functions (PDFs) are applied by the proposed Bayesian method to detect eye region in an image from the CCD camera. The simulation results show that our proposed method has a good detection rate on the frontal face and this can be applied to the embedded system because of its small amount of the mathematical complexity.

• The Journal of the Korea Contents Association
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• v.11 no.6
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• pp.26-32
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• 2011

Recently, in the U-health area, there are research related on monitoring brainwaves in real-time for coping with emergent situations like the fatigue driving, cerebral infarction or the heart attack of not only the patients but also the normal elderly folks by transmitting of the EEG(Electroencephalograph). This system could be applied to hospitals or sanatoriums. In this paper, it is applied for the vehicular ad-hoc network to prevent the car accident in advance by monitoring the brainwaves of a driver in real-time. In order to do this, I used mobile ad-hoc nodes supported in the Opnet simulator for the efficient EEG brainwave transmission in the VANET environment. The vehicular ad-hoc networks transmitting the brainwaves to the nearest road-side unit are designed and simulated to draw an efficient and proper vehicular ad-hoc network environment.

• Journal of Korea Society of Industrial Information Systems
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• v.20 no.3
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• pp.87-93
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• 2015

The accidents caused by drivers while driving are considered as the major causes along with other causes such as conditions of roads, weather and cars. In this study, we investigated the driver's workloads under three different driving conditions (Weather, Driving time zone, and Traffic density) through analyzing biological signals obtained from a car driving simulator system. The proposed method is able to detect R waves and R-R interval calculation in the ECG. Heart rate variability (HRV) was investigated for the time domain to determine the changes in driver's conditions.

• Journal of the Korean Society of Marine Environment & Safety
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• v.28 no.4
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• pp.533-541
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• 2022

An analysis of marine accidents that occurred in the last five years, revealed that 77.0 % of all grounding accidents and 66.1% of all marine casualties involved small vessels, which was a very high level relatively. The Mokpo Regional Maritime Safety Tribunal (Mokpo-KMST) inquired on 72 cases of marine accidents in 2021, of which 10 cases were grounding accidents. Furthermore, eight cases of grounding accidents occurred in small fishing vessels. This study analyzed eight cases of grounding accidents on small fishing vessels that inquired in the jurisdictional area of Mokpo-KMST in 2021. I found out that this grounding occurred in clear weather with good visibility (2-4 miles) and good sea conditions with a wave height of less than 1 meter. Furthermore, I found that the main causes of grounding were drowsy navigation due to fatigue, neglect of vigilance, neglect of checking ship's position, overconfidence in GPS plotter, and lack of understanding of chart symbols and tidal differences. To reduce grounding accidents of small fishing vessels, I suggested the following measures. First, crew members who have completed the able seafarer training course on bridge watchkeeping should assist to the master. Second, alarm systems to prevent drowsiness should be installed in the bridge. Third, the regulation should be prepared for the performance standards and updating GPS plotter. Finally, the skipper of small vessels should be trained periodically to be familiar with chart symbols and basic terrestrial navigation.