• Title/Summary/Keyword: 인체감지센서

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Smart Safety System in Residential Space for Visually Impaired (시각장애인 주거 공간 내 안전 지킴이 스마트 시스템)

  • Sung-Tae Jung;Kyung-Bae Min;Chan Seo;Dong-Yeon Ha;In-Soo KIm
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.11a
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    • pp.982-983
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    • 2023
  • 본 논문은 시각장애인에게 큰 위험이 되는 주거 공간 내 위험 요소들을 감시하고, 경고를 알리는 "시각장애인 주거 공간 내 스마트 안전 시스템"을 제안한다. 주요 특징은 다음과 같다. 첫째, 정해진 시간 또는 음성 명령이 입력되면 이동로봇이 각 방을 자율주행으로 순회하며 위험 요소를 측정한다. 레이저 거리 센서를 활용한 단차 측정값, 열화상 카메라를 활용한 물웅덩이 위험도, 웹캠을 활용한 물체 변위 값을 측정하여 서버에 전송한다. 둘째, 각 방에 설치된 인체 감지 센서를 통해 사용자의 접근을 인식하고, 방에 들어가기 전 서버에 저장된 측정 데이터를 기반으로 스마트 스피커를 통해 위험 요소를 알린다. 셋째, 앱을 통해 관리자가 즉시 검사, 기록조회, 방 정보 수정 등을 이용하여 시스템을 관리한다.

Non-Contact Vital Signal Sensor Based on Impedance Variation of Resonator (공진기의 임피던스 변화에 근거한 비접촉 생체 신호 센서)

  • Kim, Kee-Yun;Kim, Sang-Gyu;Hong, Yunseog;Yook, Jong-Gwan
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38C no.9
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    • pp.813-821
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    • 2013
  • In this paper, a vital signal sensor based on impedance variation of resonator is presented. Proposed vital signal sensor can detect the vital signal, such as respiration and heart-beat signal. System is composed of resonator, oscillator, surface acoustic wave (SAW) filter, and power detector. The cyclical movement of a dielectric such as a human body, causes the impedance variation of resonator within the near-field range. So oscillator's oscillation frequency variation is effected on resonator's resonant frequency. SAW filter's skirt characteristic of frequency response can be transformed a small amount of frequency deviation to a large variation. Aim to enhance the existing sensor detection range, proposed sensor operates in 870 MHz ISM band, and detect respiration and heart-beat signal at distance of 120 mm.

Recent Research Trend in Skin-Inspired Soft Sensors with Multimodality (피부 모사형 다기능 유연 센서의 연구 동향)

  • Lee, Seung Goo;Choi, Kyung Ho;Shin, Gyo Jic;Lee, Hyo Sun;Bae, Geun Yeol
    • Journal of Adhesion and Interface
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    • v.21 no.4
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    • pp.162-167
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    • 2020
  • The skin-inspired multimodal soft sensors have been developed through multidisciplinary approaches to mimic the sensing ability with high sensitivity and mechanical durability of human skin. For practical application, although the stimulus discriminability against a complex stimulus composed of various mechanical and thermal stimuli experienced in daily life is essential, it still shows a low level actually. In this paper, we first introduce the operating mechanisms and representative studies of the unimodal soft sensor, and then discuss the recent research trend in the multimodal soft sensors and the stimulus discriminability.

Colorimetric Sensing Behavior of Curcumin Printed on Paper and Cotton Fabric (커큐민으로 프린팅된 종이와 면직물의 유해가스에 대한 색채 감지 거동)

  • Kim, Minhee;Lee, Hoik;Park, Yoon Cheol
    • Journal of the Korean Chemical Society
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    • v.65 no.4
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    • pp.260-267
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    • 2021
  • Increasing the needs for eco-friendly natural materials, much attention on natural dyes has been attracted. Curcumin, one of abundant natural dyes available in nature, is an eco-friendly molecule found in turmeric. In this study, the colorimetric sensing behavior characteristics of ammonia and hydrogen chloride gases was analyzed using curcumin ink-printed paper and cotton fabric by inkjet printing method. The fabricated paper and fabric were utilized as a colorimetric sensor that can track food spoilage. The color changes of the samples printed on the paper and cotton upon exposure to the toxic gases, the reversibility of the color changes, and the water resistance were investigated. Both samples showed reversible reactions with NH3 and HCl, and small amount of ammonia produced by food spoilage was successfully sensed with naked eyes, confirming its capability to warn food spoilage in our daily life.

Non-Invasive Blood Glucose Sensor By Sub-Microwave Oscillator (준 마이크로파 발진기를 이용한 비 침습 혈당 센서)

  • Yun, Gi-Ho
    • Journal of the Korea Convergence Society
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    • v.8 no.9
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    • pp.9-16
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    • 2017
  • In this paper, sub-microwave oscillator sensor is proposed to non-invasively monitor the glucose concentration level of the human biological tissue by oscillation frequency variation. Inductive slot in the ground plane of the microstrip line is combined with the biological tissue, to realize the resonator as a part of the oscillator sensor. The phantom box mimicking the human tissue is introduced for simulation of the resonator which resonance frequency correspondingly shifts up on three step glucose concentration levels(0, 400, 800 mg/dL). Oscillator sensor circuit is fabricated as a prototype. Pig tissues instead of human is used. Oscillation frequency shift of about 14 MHz per glucose level of 400 mg/dL has been successfully measured around 1,100 MHz. This proves that the proposed sensor is applicable to a blood glucose sensor.

Link Energy Efficiency Routing Strategy for Optimizing Energy Consumption of WBAN (WBAN의 에너지 소비 최적화를 위한 링크 에너지 효율 라우팅 전략)

  • Lee, Jung-jae
    • Journal of Internet Computing and Services
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    • v.23 no.5
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    • pp.1-7
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    • 2022
  • IoT technology that utilizes wireless body area networks (WBAN) and biosensors is an important field in the health industry to minimize resources and monitor patients. In order to integrate IoT and WBAN, a cooperative protocol that constitutes WBAN's limited sensor nodes and rapid routing for efficient data transmission is required. In this paper we propose an we propose an energy efficient and cooperative link energy-efficient routing strategy(LEERS) to solve the problems of redundant data transmission detection and limited network sensor lifetime extention. The proposed scheme considers the hop count node congestion level towards the residual energy sink and bandwidth and parameters. In addition, by determining the path cost function and providing effective multi-hop routing, it is shown that the existing method is improved in terms of residual energy and throughput

The Development of Real-Time monitoring program using Kinect (키넥트를 이용한 실시간 감시 프로그램 개발)

  • Sung, Hong-Gi;Kim, Jung-In;Choi, Sung-Wook;Kim, Gwan-Hyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2012.05a
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    • pp.182-184
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    • 2012
  • 마이크로소프트에서 개발한 키넥트(kinect)는 엑스박스(XBox) 게임 컨트롤러로 사용하는 장비이며 이 센서를 이용하여 사용자의 인체 행동을 인식하여 게임을 진행할 수 있는 센서 시스템이다. 또한 윈도우 환경에서 키넥트를 활용하여 다양한 응용 프로그램 개발을 할 수 있도록 SDK를 제공하고 있다. 현대사회에서 각종 범죄가 늘어남에 따라서 CCTV의 운용이 늘어나고 있으며 지정된 구역을 감시하는데 다양한 영상 장비들과 프로그램이 운용하고 있다. 시장에 판매되고 있는 CCTV 장비들 중에서 사람 추적기능을 가능 제품은 가격이 대부분 고가이다. 또한 야간에서는 사람의 감지가 힘들다. 본 연구에서는 키넥트의 골격 추적기능과 음성인식 기능을 활용하여 실시간 영상 녹화 프로그램을 개발하고자 하며, 개발된 프로그램은 키넥트 센서로 영상을 실시간 녹화하고 침입자에 대한 움직임을 자동 추적하여 녹화하는 DVR 시스템을 제안하고자 한다. 또한 야간에서는 깊이(Depth) 영상을 이용하여 인물을 인식과 추적을 한다. 궁극적으로 키넥트 센서(Kinect Sensor)의 CCTV기능에 대한 활용성을 연구하는데 목적을 가진다.

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Development of an IoB-Based HW/SW Platform for Human Motion Detection and Heart Rate Measurement (IoB 기반의 인체 모션 감지 및 심박수 측정을 위한 HW/SW 플랫폼 개발)

  • Cha, Eunyoung;Seol, Kwon;Lee, Jong Hyun;Kim, Gyeol;Ahn, Haesung;Kwon, Hyuk In;Kim, Hyeongseok;Kim, Jeongchang
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2019.11a
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    • pp.172-174
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    • 2019
  • 본 논문에서는 사용자가 자신의 움직임 및 심장 박동 상태를 모니터링 하기 위한 생체 인터넷 (Internet of Biometry: IoB) 기반의 HW/SW (hardware/software) 플랫폼 (platform)을 제안한다. 제안하는 시스템은 모션 센서 (motion sensor) 또는 심박 (heart rate) 센서와 같이 사용자의 생체 정보를 수집할 수 있는 센서를 사용한다. 또한, 마이크로프로세서 (microprocessor)를 사용하여 센서로부터 수집된 데이터를 사용자에게 필요한 생체 정보로 변환하고, 블루투스 (Bluetooth) 통신을 이용하여 사용자의 스마트폰 앱 (smartphone application)으로 변환한 생체 정보를 전달한다. 스마트폰 앱은 수신한 생체 정보를 디스플레이 (display)함으로써, 사용자가 자신의 상태를 모니터링 (monitoring) 할 수 있다. 제안한 시스템을 사용하여 해양 레포츠 (leisure sports) 등과 같은 활동을 하는 사람들이 자신의 몸 상태를 스스로 확인할 수 있고, 사고 예방의 효과를 얻을 수 있다.

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Human Skeleton Keypoints based Fall Detection using GRU (PoseNet과 GRU를 이용한 Skeleton Keypoints 기반 낙상 감지)

  • Kang, Yoon Kyu;Kang, Hee Yong;Weon, Dal Soo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.2
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    • pp.127-133
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    • 2021
  • A recent study of people physically falling focused on analyzing the motions of the falls using a recurrent neural network (RNN) and a deep learning approach to get good results from detecting 2D human poses from a single color image. In this paper, we investigate a detection method for estimating the position of the head and shoulder keypoints and the acceleration of positional change using the skeletal keypoints information extracted using PoseNet from an image obtained with a low-cost 2D RGB camera, increasing the accuracy of judgments about the falls. In particular, we propose a fall detection method based on the characteristics of post-fall posture in the fall motion-analysis method. A public data set was used to extract human skeletal features, and as a result of an experiment to find a feature extraction method that can achieve high classification accuracy, the proposed method showed a 99.8% success rate in detecting falls more effectively than a conventional, primitive skeletal data-use method.

Development of Indoor Lighting Control System based on Fingerprinting (Fingerprinting 기반의 실내조명 제어 시스템 개발)

  • Cho, Kyoung-woo;Han, Byung-hun;Oh, Chang-heon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.10a
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    • pp.661-663
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    • 2014
  • Lighting that installed in large buildings detects a movement of passer using human-detecting sensor or occupancy sensor. It can turn on lighting automatically using sensor when there is any movement and turn off when there is no movement to reduce unnecessary power consumption. However, there is a problem of malfunction due to improper location of the sensor. Also the case of passage, even after passing through the passage, lighting is turned on for a long time. It does not reduce the power consumption efficiently. In this paper, we propose a method to control lighting by estimating the position of the passer. According to the result simulated in one passage, it is confirmed that the time of turning on the lighting is reduced about 7 minute compared to existing methods.

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