• 대한임베디드공학회논문지
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• 제10권3호
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• pp.157-164
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• 2015

In this paper we propose a walking aid system for blind people by exploiting a haptic feedback equipment. The proposed system is a form of haptic feedback cane which is composed of MCU, communication module, sensing module and actuator. The proposed system recognizes obstacles around the blind by using ultrasonic sensors in the sensing module. Moreover, the system generates feedback information about the detected obstacle and then notifies the information to the blind through the actuator. The blind can notice the direction of the detected obstacle with the haptic feedback equipment and vibration motor. Futhermore, the proposed system controls a nearby IoT(Internet of Things) system by utilizing push buttons through the ZigBee communication. Finally, the blind can easily decide the direction of the obstacle without interference of terrain feature by using the proposed system.

• 로봇학회논문지
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• 제13권1호
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• pp.38-44
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• 2018

In this paper, we propose Intelligent Driver Assistance System (I-DAS) for driver safety. The proposed system recognizes safety and danger status by analyzing blind spots that the driver cannot see because of a large angle of head movement from the front. Most studies use image pre-processing such as face detection for collecting information about the driver's head movement. This not only increases the computational complexity of the system, but also decreases the accuracy of the recognition because the image processing system dose not use the entire image of the driver's upper body while seated on the driver's seat and when the head moves at a large angle from the front. The proposed system uses a convolutional neural network to replace the face detection system and uses the entire image of the driver's upper body. Therefore, high accuracy can be maintained even when the driver performs head movement at a large angle from the frontal gaze position without image pre-processing. Experimental result shows that the proposed system can accurately recognize the dangerous conditions in the blind zone during operation and performs with 95% accuracy of recognition for five drivers.

• Journal of Electrical Engineering and Technology
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• 제4권1호
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• pp.131-134
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• 2009

We have proposed an indoor positioning system for moving objects and/for the blind or visually impaired to play various sports. [ for a blind or visually impaired playing various sports.] This system consists of a wireless heart rate monitor, wireless sensor network and / 4 ultrasound satellites [ configuration with four ultrasound satellite modules) at the corners of the room. This system provides / the real-time measurement of the location and heart rate of the person in the room[ non-invasive measurement method of the heart rate and the location of a person in real time ], and will help the [a] blind or visually impaired enjoy sports more easily.

• Journal of Multimedia Information System
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• 제4권1호
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• pp.9-18
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• 2017

Ubiquitous computing is a novel paradigm that is rapidly gaining in the scenario of wireless communications and telecommunications for realizing smart world. As rapid development of sensor technology, smart sensor system becomes more popular in automobile or vehicle. In this study, a new vehicle detection mechanism in real-time for blind spot area is proposed based on imaging sensors. To determine the position of other vehicles on the road is important for operation of driver assistance systems (DASs) to increase driving safety. As the result, blind spot detection of vehicles is addressed using an automobile detection algorithm for blind spots. The proposed vehicle verification utilizes the height and angle of a rear-looking vehicle mounted camera. Candidate vehicle information is extracted using adaptive shadow detection based on brightness values of an image of a vehicle area. The vehicle is verified using a training set with Haar-like features of candidate vehicles. Using these processes, moving vehicles can be detected in blind spots. The detection ratio of true vehicles was 91.1% in blind spots based on various experimental results.

• 방송공학회논문지
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• 제22권1호
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• pp.78-86
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• 2017

사물인터넷은 장애인들의 삶의 질을 높이기 좋은 도구로 활용될 수 있다. 특히 시각 장애인의 경우 목적지를 찾고, 진행 경로의 장애물을 발견하여 회피하거나, 목적지로의 진행 방향을 교정하는 등의 도움이 필요하다. 이러한 필요성을 바탕으로, 본 논문에서는 사물인터넷을 이용한 기초적인 장애물 회피 및 내비게이션 시스템을 제안한다. 제안된 시스템은 RFID 리더와 초음파 센서를 탑재한 스마트 지팡이, 스마트폰, 그리고 인터넷을 포함한다. 장애물 회피를 위해 초음파 센서로부터 취득된 데이터는 국제표준데이터 포맷(ISO/IEC 23005-5)으로 변환되어 스마트폰에 전달된다. 진행경로에 설치된 RFID 태그를 이용해 시각 장애인의 위치를 파악하고, 보이스 메시지를 통해 이동 경로에 대한 정보를 알려주며, 장애물을 피하기 위한 경보를 사용자에게 전해 준다. 제안된 시스템은 대학 캠퍼스 내에서 성공적으로 테스트 검증되었다.

• 한국생산제조학회지
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• 제22권3_1spc호
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• pp.600-606
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• 2013

This paper describes the development of a novel walking assistance robot for the elderly and infirm. In the case of simple walking assistance devices, the walking safety and effectiveness are somewhat low; hence, caregivers are frequently required. The walking assistance robot developed in this research is capable of securely and conveniently assisting a walking user by using electric motors and various devices without a caregiver. The main features include the following. First, the walking safety is improved by using a pelvis supporter, and the robot is able to follow the user effectively by means of ergonomic motion sensors and electric powered wheels. Second, it is possible to adjust the load applied to the lower body by adjusting the height of the pelvis supporter. Finally, it is possible to inform the approximate distance and direction of any obstacle around the robot using the sounds and vibrations for the blind and the hearing impaired. The performance of the developed walking assistance robot was successfully verified using a walking assistance test in a narrow-corridor environment.

• 한국인터넷방송통신학회논문지
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• 제20권2호
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• pp.149-155
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• 2020

한국도로교통공단은 교통사고분석시스템(TAAS)을 활용하여 2015년부터 발생한 교통사고 원인을 분석한 통계를 제공하고 있다. 교통사고 발생 주요 원인으로, 2018년 한해 전체 교통사고 발생원인 중 전방주시 부주의가 대부분의 원인임을 TAAS를 통해 발표했다. 교통사고 원인에 대한 통계자료의 세부항목으로 운전 중 스마트폰 사용, DMB 시청 등의 안전운전 불이행 51.2%와 안전거리 미확보 14%, 보행자 보호의무 위반 3.6% 등으로, 전체적으로 68.8%의 비율을 보여준다. 본 논문에서는 Deep Learning의 알고리듬 중 CNN(Convolutional Neural Network)를 활용하여 첨단 운전자 보조 시스템 ADAS(Advanced Driver Assistance Systems)을 개선한 시스템을 제안하고자 한다. 제안된 시스템은 영상처리에 주로 사용되는 Conv2D 기법을 사용하여 운전자의 얼굴과 눈동자의 조향을 분류하는 모델을 학습하고, 차량 전방에 부착된 카메라로 자동차의 주변 object를 인지 및 검출하여 주행환경을 인지한다. 그 후, 학습된 시선 조향모델과 주행환경 데이터를 사용하여 운전자의 시선과 주행환경에 따라, 위험요소를 3단계로 분류하고 검출하여 운전자의 전방 및 사각지대 보조한다.

• 한국ITS학회 논문지
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• 제17권2호
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• pp.128-141
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• 2018

본 논문에서는 대표적인 6대 협력형 차량 안전 시스템 대한 잠재적인 사회적 안전효과를 분석하는 방법론을 제시하고자 한다. 협력형 차량 안전시스템의 도입 및 확산을 위해서는 사회적으로 어떠한 파급효과를 가져올지에 대하여 안전 시스템 별 정량적 분석이 필요하다. 국내에서 사고유형 기반으로 분석이 이루어진 사례들이 있으나, 사고 시나리오를 기반으로 한 분석방법론을 찾아보기 어렵다. 이러한 방법론을 제시하기 위해서 우선 승용차나 승합차만을 대상으로 한 국내 사망교통사고 데이터를 기반으로 사고 시나리오를 분류한다. 다음으로 사고 시나리오를 분석하여 협력형 차량 안전 시스템에 적용 가능한 시나리오를 선정하고 결과적으로 사망 사고 빈도수를 통해 안전 시스템의 잠재적인 사회적 안전효과를 정량적으로 제시한다. 마지막으로 안전효과의 정량적 분석을 이용하여 협력형 차량 안전 시스템의 인증을 위한 대표 평가 시나리오를 제시한다.

• 자동차안전학회지
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• 제4권1호
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• pp.27-32
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• 2012

Recently, in order to reduce traffic accident related fatalities, increasing number of studies are conducted regarding the vehicle safety enhancement devices. But very few studies about test procedures and requirements for vehicle safety systems are being carried out. Since BSD, as one of the most important safety features, is installed on a new vehicle, its performance test method has to be evaluated. Independent factors irrelevant to the device types including collision position, vehicle speed and closing speed are used to calculate test distance away from the current vehicle. Effect of roadway geometry as radius of curvature is introduced to propose possible misjudgement of following vehicle as adjacent one. The study results would be utilized to enhance the test procedure of BSD performance.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권11호
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• pp.5182-5199
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• 2017

Recently, Internet of Things (IoT) drives a large variety of research, development, and new type of markets. All type of devices and sensors will be part of the Internet of Things and will be able to communicate not only plain data, but also audio-visual, olfactory, and haptic media data. In addition, as the devices and sensors getting smarter, it is highly probable that they can process acquired media and metadata to extract higher level of information (e.g., semantics). To support such enhanced functionalities, ISO/IEC SC29 WG11 (MPEG) starts a new standard project, ISO/IEC 23093, called Internet of Media Things (IoMT) to provide standard data formats and APIs for media things. This paper presents the standardization activities of IoMT focusing on explaining terms, standard scopes, and major media things with their use cases. One of the use cases, an IoT system for a blind pedestrian navigation assistance, is evaluated to prove its effectiveness.