• Title/Summary/Keyword: human body detection

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Design and Implementation of Safety system to prevent human accidents caused by low-speed vehicles (저속 주행 자동차에 의한 인명 사고 예방을 위한 안전 시스템의 설계 및 구현)

  • Kim, Hongsan;Mun, Taeeun;Paik, Seungmin;Jeong, Jongpil
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.19 no.4
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    • pp.55-63
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    • 2019
  • Proximity sensors and rearview cameras for automobile safety are common, but many accidents are still occurring. Using the All Around View and object recognition algorithm to show the front, back, left, right and bottom of the vehicle, the sensor detects the presence of a living body when the vehicle starts or parks, and displays the outside of the vehicle on the screen. In addition, the object recognition algorithm is used to visualize the object by expressing the position of the object. In this way, we propose a strong safety system that can prevent human accidents caused by the vehicle by sensing, screen, and expression.

An Evaluation Method for the Musculoskeletal Hazards in Wood Manufacturing Workers Using MediaPipe (MediaPipe를 이용한 목재 제조업 작업자의 근골격계 유해요인 평가 방법)

  • Jung, Sungoh;Kook, Joongjin
    • Journal of the Semiconductor & Display Technology
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    • v.21 no.2
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    • pp.117-122
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    • 2022
  • This paper proposes a method for evaluating the work of manufacturing workers using MediaPipe as a risk factor for musculoskeletal diseases. Recently, musculoskeletal disorders (MSDs) caused by repeated working attitudes in industrial sites have emerged as one of the biggest problems in the industrial health field while increasing public interest. The Korea Occupational Safety and Health Agency presents tools such as NIOSH Lifting Equations (NIOSH), OWAS (Ovako Working-posture Analysis System), Rapid Upper Limb Assessment (RULA), and Rapid Entertainment Assessment (REBA) as ways to quantitatively calculate the risk of musculoskeletal diseases that can occur due to workers' repeated working attitudes. To compensate for these shortcomings, the system proposed in this study obtains the position of the joint by estimating the posture of the worker using the posture estimation learning model of MediaPipe. The position of the joint is calculated using inverse kinetics to obtain an angle and substitute it into the REBA equation to calculate the load level of the working posture. The calculated result was compared to the expert's image-based REBA evaluation result, and if there was a result with a large error, feedback was conducted with the expert again.

Traffic Adaptive Transmission Algorithm for Energy Efficiency in WBAN (WBAN 환경에서 에너지 효율을 고려한 트래픽 적응형 전송 알고리즘)

  • Kim, Jinhyuk;Hong, Changki;Choi, Sangbang
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38B no.5
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    • pp.315-327
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    • 2013
  • Wireless Body Area Network (WBAN) is a network around a human body within 3~5m which consists of medical or non-medical device. WBAN has to satisfy many kinds of demands such as low-power, a variety of data rate and a data priority. Especially, it is hard for the nodes for monitoring vital signs to replace battery. Thus energy and channel efficiency is important because the battery power is limited. In this thesis, a novel algorithm for reducing the energy consumption is proposed. The proposed algorithm adjusts transmission period according to traffic. by means of determining transmission period by amount of data, the node can reduce energy consumption. Energy detection is performed in order to guarantee data priority before attempting to transmit. In case of failing to transmit, it is proposed that energy consumption is reduced through avoiding collision by changing priority. The comparison result shows that the proposed algorithm reduces power consumption and increasing maximum channel efficiency by avoiding collision.

A Study on Bioassay of Tritium($^{3}H$) Radioacitivity (三重水素($^{3}H$) 放射能의 生理分析에 關한 硏究)

  • 황선태;오필재;김원식
    • Journal of Korean Society for Atmospheric Environment
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    • v.3 no.1
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    • pp.27-33
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    • 1987
  • The environment and biological studies of tritium have been carried out in the advanced countries since the mid 1950's. In the case of a potential tritium exposure, the usual procedure is trifium bioassay (as HTO) in human urine in order to determine the amount of tritium deposited in the body called tritium body burden. The maximum permissible body burden(MPBB) of tritium in total body is about $30{\mu}Ci/{\ell}$ for body tissue. In the bioassay, the most common investigation level for detection of tritium in urine is 1/10th of MPBB. For this bioassay project, the first priority is given to obtaining a quench correction curve. This consideration is necessary because of the variability in color of human urine specimens. Quenching effect in this case mainly is caused by the absorption of scintillation light flashes by the urine sample. By the least squares method on the statistical basis, an estimated formula for quench correction curve was determined to be Y = 0.771 + 1.836 ${\tmes}10^{-4}$X, where the efficiency(Y) was ranged from about 12% to 31% in the liquid scientillation counting. In this paper, a brief theory concerning the biological half-life of tritium and the retention formula to apply to systematically distributed tritium are described.

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Pyroelectric Infrared Microsensors Made for Human Body Detection (인체 감지용 강유전체 박막 초전형 적외선 센서의 제작)

  • Choi, Jun-Rim
    • Journal of Sensor Science and Technology
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    • v.7 no.2
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    • pp.103-110
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    • 1998
  • Pyroelectric infrared detectors based on La-modified $PbTiO_{3}$ (PLT) thin films have been fabricated by RF magnetron sputtering and rnicrornachining technology. The detectors form $Pb_{l-x}La_{x}Ti_{1-x/4}O_{3}$ (x=0.05) thin film ferroelectric capacitors epitaxially grown by RF magnetron sputtering on Pt/MgO (100) substrate. The sputtered PLT thin film exhibits highly c-axis oriented crystal structure that no poling treatment for sensing applications is required. This is an essential factor to increase the yield for realization of an infrared image sensor. Micromachining technology is used to lower the thermal mass of the detector by giving maximum sensor efficiency. Polymide is coated on top of the sensing elements to support the fragile structure and the backside of the MgO substrate is selectively etched to reduce the heat loss. The sensing element exhibited a very high detectivity D* of $8.5{\times}10^{8}cm{\cdot}\sqrt{Hz}/W$ at room temperature and it is about 100 times higher than the case of micromachining technology is not used. A sensing system that detects the position as well as the existence of a human body is realized using the array sensor.

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A Detection Algorithm of the Position of Marks for the Development of Motion Analyzer (동작 분석기 개발을 위한 Mark의 위치 검출 알고리즘 개발)

  • Kim, Sung-Ho;Lee, Sung-Hee;Kim, Min-Gi
    • Proceedings of the KOSOMBE Conference
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    • v.1994 no.05
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    • pp.32-34
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    • 1994
  • An automatic multiframe procedure for tracking signalized points on multiple, differently moving discontinuous surface is described. The position of markers which attached on human body give us some important information such as velocity, acceleration, angular velocity and angular acceleration, etc, of the rigid objects. Generally, the detected objects occufying some area in images rather than a point because of the generic size of the marks or the smeared effects of the camera. To solve the problem we used a modified clustering algorithm.

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Response properties of alcohol gas sensors depositing MWNT-composites by spray method (MWNT를 스프레이 코팅한 가스센서의 알콜 가스 응답 특성)

  • Choi, Young-Min;Gam, Byung-Min;Lee, Ho-Jung;Kim, Seong-Jeen
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2008.11a
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    • pp.382-383
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    • 2008
  • In this paper we presented experimental results of a gas sensor utilizing multi-walled carbon nanotube (MWNT)composites for the alcohol detection which is useful to checking drinking and driving, for example. The MWNT-composites were deposited using spray method on PES substrates suitable for use in low-cost and flexible sensors. We observed the variation of conductance from the sensors exposed to alcohol vapors evaporated at 37C equal to the human body temperature to match real condition. As the result, the conductance was decreased with the increase of ethanol vol% diluted in water. The sensors showed good sensitivity and linearity.

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Fabrication of Tomography System Using Microwave Multi-Channel Transceiver (전자파 기반 다채널 토모그래피 테스트베드 제작)

  • Kim, Hyuk-Je;Lee, Jong-Moon;Lee, Youn-Ju;Son, Seong-Ho;Jeon, Soon-Ik
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.1093-1094
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    • 2008
  • A tomography system using microwave multi-channel transceiver was fabricated and measured. The tomography system is applicable to detection of breast cancers in a human body. This system is configured by microwave muiti-channel transceivers, a illumination chamber housing monopole antennas and coupling liquid, and image reconstruction algorithm solving inverse scattering problem.

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Automobile System for Drowsiness Accident Detection using EDA Signal Analysis (피부 임피던스 신호 분석을 통한 졸음운전 판단 시스템 개발)

  • Lee, Young-Bum;Lee, Myoung-Ho
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.56 no.2
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    • pp.432-435
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    • 2007
  • In modern society, automobile is necessary vehicle. Automobile is a series of modern convenient. And the number of automobile is on the increase. But from you to year, automobile accident is on the increase, also. One of most reason that cause automobile accident is drowsiness driving. So, we plan to construct automobile system for drowsiness accident prevention for decreasing automobile accident. In this research, we built a drowsiness detecting device using EDA (Electro Dermal Activity) signal which is electric response in the human body skin. There are SIL (Skin Impedance Level) and SIR (Skin Impedance Response) in EDA. Mostly, SIL consists of DC element. On the other hand, SIL consists of AC element. We could detect the drowsiness condition with SIL and SIR signal.

Design of OpenCV based Finger Recognition System using binary processing and histogram graph

  • Baek, Yeong-Tae;Lee, Se-Hoon;Kim, Ji-Seong
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.2
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    • pp.17-23
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    • 2016
  • NUI is a motion interface. It uses the body of the user without the use of HID device such as a mouse and keyboard to control the device. In this paper, we use a Pi Camera and sensors connected to it with small embedded board Raspberry Pi. We are using the OpenCV algorithms optimized for image recognition and computer vision compared with traditional HID equipment and to implement a more human-friendly and intuitive interface NUI devices. comparison operation detects motion, it proposed a more advanced motion sensors and recognition systems fused connected to the Raspberry Pi.