• International Journal of Contents
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• 제12권1호
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• pp.44-48
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• 2016

Driver fatigue is a major cause of fatal road accidents and has significant implications in road safety. In recent years, researchers have investigated steering wheel grip force as an alternative method to detect driver fatigue noninvasively and in real time. In this study, a fatigue detection system was developed by monitoring the grip force and changes in the grip force were measured while participants' engaged in an interactive simulated driving task. The study also measured the participants' subjective sleepiness to ensure the validity of measuring grip force. The results indicated that while participants engaged in a driving task, steering wheel grip force decreased and subjective sleepiness increased concurrently over time. The possible applications of the driver fatigue detection system by steering wheel grip force and future guidelines are discussed.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2009년도 추계학술대회 논문집
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• pp.584-590
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• 2009

Since driving include compilcated actions that require a variety of abillity and cause extrme concentration or strain, divers tend to feel tired easiy. However, divers can't recognize fatigue degree by himself and accordingly the methods to measure quantitative fatigue degree exactly is quite difficult to be secured. In this study, the most efficient driving posture was suggested based on the analysis of quantitative muscular strength and fatigue degree according to posture. The driver whom we experimented included 9 commercial bus drivers. We also analyzed quantitative legs' muscular strength according te operating each pedal, left and right then we analyzed muscular strength and muscular fatigue degree according to driving pattern while driving commercial buses. And then we suggested the most efficient driving posture.

• 감성과학
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• 제5권1호
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• pp.71-78
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• 2002

자동차의 운전은 지각, 의사결정, 운동능력 등 다양한 능력을 필요로 하는 복잡한 행동의 연속이고, 지속적인 고도의 의식집중이나 외부자극에 대한 긴장감이 유발되므로 운전자는 피로를 느끼게 되며, 이러한 피로는 교통사고의 원인이 되고 있다. 그럼에도 불구하고 복잡한 도시생활, 교통체증, 직업적인 특성 등에 의하여 운전자가 차량 내에서 보내는 시간은 증가하고 있고, 그에 따른 피로나 스트레스를 피할 수 없는 실정이다. 본 연구에서는 산소공급에 의한 운전 중 피로경감의 가능성을 알아 보기 위하여 주관적인 평가 및 반응시간 테스트를 통하여 각각 다른 산소농도를 공급할 때의 주행시간 경과에 따른 운전 피로감을 검토하였다. 그 결과, 주관적 피로감은 저농도(18%)의 산소조건에서 가장 피로를 많이 느끼고 고농도(30%)의 산소조건에서의 피로감은 상대적으로 감소하였다. 졸림감도 1시간 이상 주행시간이 경과된 경우에 고농도 산소조건에서 상대적으로 감소하는 경향을 보였다. 또한, 주행 2시간 후에 급정거의 지시로부터 브레이크에 반응하는 시간은 저농도의 산소조건에 비하여 고농도의 산소조건에서 유의하게 감소하는 것으로 나타났다. 이상의 결과로부터 자동차 운전 중에 산소농도가 저하되면 현저하게 피로를 느끼게 되고, 고농도의 산소를 공급하는 경우는 상대적으로 피로감이 저하되며 반응시간이 단축되는 것으로 나타나, 산소공급에 의하여 운전자의 피로가 경감될 수 있다고 시사되었다.

• 한국군사과학기술학회지
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• 제13권4호
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• pp.511-519
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• 2010

This paper presents the modeling and validation of a pile-driver breech fatigue testing system model to replicate actual high pressure in a large caliber gun barrel. A hysteresis damping function was incorporated in the nonlinear impact force model. Test of real pile-driver breech fatigue testing system had been performed for model validation. Comparison of the experimental result and model simulation during impact were made. Numerical studies were performed to evaluate how the actual chamber pressure pattern in the live firing of gun barrel was affected by parameters' variation. Some of the parameters simulated included input velocity, damping coefficient and stiffness. As a result, a variety of actual chamber pressure pattern could be reproduced and controlled through current simulation model.

• 한국정보통신학회논문지
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• 제26권6호
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• pp.859-864
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• 2022

매년 교통사고의 가장 큰 원인으로 손꼽히는 졸음운전은 운전자의 수면 부족, 산소 부족, 긴장감의 저하, 신체의 피로 등과 같은 다양한 요인을 동반한다. 졸음 유무를 확인하는 일반적인 방법으로 운전자의 표정과 주행패턴을 파악하는 방법, 심전도, 산소포화도, 뇌파와 같은 생체신호를 분석하는 방법들이 연구되고 있다. 본 논문은 영상을 검출하는 딥러닝 모델과 생체 신호 측정 기술을 이용한 운전자 피로 감지 시스템을 제안한다. 제안 방법은 일차적으로 딥러닝을 이용하여 운전자의 눈 모양과 하품 유무, 졸음으로 예상되는 신체 동작을 파악하여 졸음 상태를 감지한다. 이차적으로 맥파 신호와 체온을 이용하여 운전자의 피로 상태를 파악하여 시스템의 정확도를 높이도록 설계하였다. 실험 결과, 실시간 영상에서 운전자의 졸음 유무 판별이 안정적으로 가능하였으며 각성상태와 졸음 상태에서의 분당 심박수와 체온을 비교하여 본 연구의 타당성을 확인할 수 있었다.

• 전기학회논문지P
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• 제67권2호
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• pp.100-105
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• 2018

In this paper, we determined the driver's stress and fatigue level through physiological signals of a driver in the connected car environment, accordingly designing and implementing the architecture of the connected cars' platforms needed to provide services to make the driving environments comfortable and reduce the driver's fatigue level. It includes a gateway between AVN and ECU for the vehicle control, a framework for native applications and web applications based on AVN, and a sensing device and an emotion estimation engine for application services. This paper will provide the element technologies for the connected car-based convergence services and their implementation methods, and reference models for the service design.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제6권9호
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• pp.2341-2350
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• 2012

Face detection is the first step of vision-based driver fatigue detection method. Traditional face detection methods have problems of high false-detection rates and long detection times. A space-time restrained Adaboost method is presented in this paper that resolves these problems. Firstly, the possible position of a driver's face in a video frame is measured relative to the previous frame. Secondly, a space-time restriction strategy is designed to restrain the detection window and scale of the Adaboost method to reduce time consumption and false-detection of face detection. Finally, a face knowledge restriction strategy is designed to confirm that the faces detected by this Adaboost method. Experiments compare the methods and confirm that a driver's face can be detected rapidly and precisely.

• 한국감성과학회:학술대회논문집
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• 한국감성과학회 2001년도 추계학술대회 논문집
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• pp.208-210
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• 2001

본 연구에서는 운전자의 피로감을 경감시킬 수 있는 자동차용 향 발생장치를 개발하였다. 본 시스템은 공기 압력차에 의해 휘발된 향을 산소와 혼합 시켜 외부로 분사하는 증발 확산 방식을 채택하였다. 또한 3-Port Solenoid Valve를 이용하여 산소만 공급할 수 있도록 또는 산소와 향을 동시에 공급할 수 있도록 두 가지의 분출 경로가 가능하도록 제작하였고 향이 분사되는 배관 앞에 체크 밸브(역류방지기)를 장착하여 한 방향으로만 향이 분출되도록 하였다.

• 동의생리병리학회지
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• 제16권6호
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• pp.1211-1216
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• 2002

To evaluate whole-body vibration(WBV) exposure and fatigue-decreased proficiency(FDP) boundary in passenger car driver, several roads in Busan were divided into 3 types by the condition of road surface; Road 1 was partially damaged, Road 2 was normal without damage, and Road 3 was better than Road 2. The results were following: The highest passenger driver's exposures to whole-body vibration acceleration and fatigue-decreased proficiency boundary at 40km/h were 0.108m/s² and about 2099 minutes in Road 2 for xh axis, 0.134m/s² and about 1585 minutes in Road 2 for yh axis, and 0.183m/s² and about 1053 minutes in Road 2 for zh axis, respectively. The highest passenger driver's exposures to whole-body vibration acceleration and fatigue-decreased proficiency boundary at 80km/h were 0.219m/s² and about 830 minutes in Road 3 xh axis, 0.203m/s² and about 918 minutes in Road 3 for yh axis, and 0.622m/s² and about 195 minutes in Road 1 for zh axis, respectively. The highest vector sums of whole-body vibration exposure at 40km/h and 804km/h were 0.328m/s² in Road 2 and 0.730m/s² in Road 1, respectively. The highest crest factors at 40km/h were 4.25 in Road 1 for xh, 4.51 in Road 3 for yh, and 5.81 in Road 2 for zh, respectively. The highest crest factors at 80km/h were 5.57 in Road 1 for xh, 5.60 in Road 2 for yh, and 6.46 in Road 3 for zh, respectively. The highest transmissibilities of whole-body vibration from floor to seat at 40km/h and 80km/h were 0.89 in Road 3 and 0.82 in Road 3 for xh axis, 0.83 in Road 3 and 0.87 in Road 1 and 2 for yh, and 0.80 in Road 2 and 0.92 in Road 1 tor zh axis, respectively. The highest fatigue-decreased proficiency boundaries for whole-body vibration exposure of passenger car driver in floor and seat were 457 minutes in Road 3 and 583 minutes in Road 3 at 40km/h and 159 minutes in Road 2 and 251 minutes in Road 2 at 80km/h, respectively.

• 한국감성과학회:학술대회논문집
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• 한국감성과학회 2002년도 춘계학술대회 논문집
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• pp.177-180
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• 2002

The type of physiological stress involved in driving is probably complex, and a comprehensive study involving recording of physiological signals such as electrocardiogram(ECG), electromyogram(EMG). Changes in relevant Physiological parameters, such as ECG, EMG, reflected changes in driver status. In order to derive the mental and physical load of driving a motor vehicle from driving behaviour alone it is necessary to establish the relationship between changes in a driver's physiological parameters and behavioral parameters. In this study, we choose two different condition and investigated driver's status using HRV analysis method. Many previous studies have shown that increasing driving time causes a variation of HRV signal.