• 한국멀티미디어학회논문지
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• 제14권8호
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• pp.992-999
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• 2011

This paper proposed a human body posture recognition program based on haar-like feature and hand activity detection. Its distinguishing features are the combination of face detection and motion detection. Firstly, the program uses the haar-like feature face detection to receive the location of human face. The haar-like feature is provided with the advantages of speed. It means the less amount of calculation the haar-like feature can exclude a large number of interference, and it can discriminate human face more accurately, and achieve the face position. Then the program uses the frame subtraction to achieve the position of human body motion. This method is provided with good performance of the motion detection. Afterwards, the program recognises the human body motion by calculating the relationship of the face position with the position of human body motion contour. By the test, we know that the recognition rate of this algorithm is more than 92%. The results show that, this algorithm can achieve the result quickly, and guarantee the exactitude of the result.

• 한국전자파학회논문지
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• 제27권4호
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• pp.403-406
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• 2016

본 논문에서는 인체 감지용 수동형 마이크로파 센서의 실용화를 위한 소형 수신기의 설계, 제작에 관해 기술한다. 먼저 기존의 5.1 GHz 센서에 의한 인체 감지 측정 실험 데이터를 이용하여 센서 수신기의 요구사항 및 설계 사양을 도출하였으며, 이를 토대로 소형 수신기를 설계, 제작하였다. 제작한 소형 수신기 센서로 실험실에서의 인체 감지 측정 실험 결과, 안테나로부터 4 m 거리에 있는 인체까지 감지가 확인되었다. 제작된 소형 수신기는 기존 수신기에 비해 크기는 약 60 %, 소비전력은 40 % 감소된 소형경량 저소비전력으로 구현함으로써 실용성을 높였다.

• 전력전자학회논문지
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• 제23권5호
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• pp.305-312
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• 2018

DC distribution systems has recently taken the spotlight. Concerns over human safety and stability facility are raised in DC distribution systems. Std. IEC 60479 provides basic guidance on "the effects of shock current on human beings and livestock" for use in the establishment of electrical safety requirements and suggests an electrical impedance of the human body. This study analyzes impedance spectrums based on the electrical equivalent impedance circuit for the human body; human body impedances measured by experiments are analyzed below the fundamental frequency (60 Hz). The analysis shows that the equivalent impedance circuit for the human body should be modified at least in low-frequency range below the fundamental frequency (60 Hz). The DC residual current detection method that can classify electric shock accidents of humans and electric leakages of facilities is proposed by applying the analysis result. The detection method is verified by experiments on livestock.

• 한국전자통신학회논문지
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• 제10권3호
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• pp.333-340
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• 2015

본 논문에서는 마이크로파 라디오미터의 기술을 응용한 수동형 마이크로파 인체 감지 센서를 제안한다. 제안된 센서는 고정된 배경 물체로부터 수신되는 복사전력의 인체에 의한 미약한 변화를 측정하여 감시 공간내의 인체를 감지한다. C-band 마이크로파 라디오미터를 설계 제작하여 인체에 의한 수신 복사전력의 변화를 측정하고 그 결과를 분석하여 제안한 센서의 유효성을 평가한다.

• 제어로봇시스템학회논문지
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• 제17권3호
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• pp.229-235
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• 2011

To make a robust object tracking and identifying system for an intelligent robot and/or home system, heterogeneous sensor fusion between visible ray system and infrared ray system is proposed. The proposed system separates the object by combining the ROI (Region of Interest) estimated from two different images based on a heterogeneous sensor that consolidates the ordinary CCD camera and the IR (Infrared) camera. Human's body and face are detected in both images by using different algorithms, such as histogram, optical-flow, skin-color model and Haar model. Also the pose of human body is estimated from the result of body detection in IR image by using PCA algorithm along with AdaBoost algorithm. Then, the results from each detection algorithm are fused to extract the best detection result. To verify the heterogeneous sensor fusion system, few experiments were done in various environments. From the experimental results, the system seems to have good tracking and identification performance regardless of the environmental changes. The application area of the proposed system is not limited to robot or home system but the surveillance system and military system.

• 센서학회지
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• 제26권6호
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• pp.391-396
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• 2017

Human body motion detection is important in several industry sectors, such as entertainment, healthcare, rehabilitation, and so on. In this paper, we first discuss commercial human motion detection technologies (optical markers, MEMS acceleration sensors, infrared imaging, etc.) and then explain recent advances in the development of flexible and stretchable strain sensors for human motion detection. In particular, flexible and stretchable strain sensors that are fabricated using carbon nanotubes, silver nanowires, graphene, and other materials are reviewed.

• JSTS:Journal of Semiconductor Technology and Science
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• 제14권2호
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• pp.212-226
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• 2014

This paper presents the design and implementation of a pipelined architecture and a method for real-time human detection using depth image from a Time-of-Flight (ToF) camera. In the proposed method, we use Euclidean Distance Transform (EDT) in order to extract human body location, and we then use the 1D, 2D scanning window in order to extract human joint location. The EDT-based human extraction method is robust against noise. In addition, the 1D, 2D scanning window helps extracting human joint locations easily from a distance image. The proposed method is designed using Verilog HDL (Hardware Description Language) as the dedicated hardware architecture based on pipeline architecture. We implement the dedicated hardware architecture on a Xilinx Virtex6 LX750 Field Programmable Gate Arrays (FPGA). The FPGA implementation can run 80 MHz of maximum operating frequency and show over 60fps of processing performance in the QVGA ($320{\times}240$) resolution depth image.

• International Journal of Computer Science & Network Security
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• 제21권2호
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• pp.221-228
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• 2021

Recent improvements on the quality, fidelity and availability of biometric data have led to effective human physical activity detection (HPAD) in real time which adds significant value to applications such as human behavior identification, healthcare monitoring, and user authentication. Current approaches usually use machine-learning techniques for human physical activity recognition based on the data collected from wearable accelerometer sensor from a single wearable smart device on the user. However, collecting data from a single wearable smart device may not provide the complete user activity data as it is usually attached to only single part of the user's body. In addition, in case of the absence of the single sensor, then no data can be collected. Hence, in this paper, a continuous HPAD will be presented to effectively perform user activity detection with mobile service infrastructure using multiple wearable smart devices, namely smartphone and smartwatch placed in various locations on user's body for more accurate HPAD. A case study on a comprehensive dataset of classified human physical activities with our HAPD approach shows substantial improvement in HPAD accuracy.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2006년 학술대회 논문집 정보 및 제어부문
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• pp.214-216
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• 2006

Expressive face and human body gestures are among the main non-verbal communication channels in human-human interaction. Understanding human emotions through body gesture is one of the necessary skills both for humans and also for the computers to interact with their human counterparts. Gesture analysis is consisted of several processes such as detecting of hand, extracting feature, and recognizing emotions. Skin color information for tracking hand gesture is obtained from face detection region. We have revealed relationships between paricular body movements and specific emotions by using HMM(Hidden Markov Model) classifier. Performance evaluation of emotional human body recognition has experimented.

• 전자공학회논문지
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• 제51권10호
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• pp.223-227
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• 2014

본 논문은 인체 감지 센서 모듈 및 그에 의한 관리 시스템의 구현 및 개선 방안에 관한 것으로, 구체적으로는 초음파 센서에 의하여 화장실 변기의 사용 여부를 탐지하는 인체 감지 센서 모듈과 각각의 화장실에 설치된 인체 감지 센서 모듈을 이용하여 건물 전체의 화장실의 상태를 제어할 수 있도록 하는 관리 시스템에 관한 것이다. 제안된 인체 감지 센서 모듈은 인체의 이동 여부를 탐지하는 탐지 센서, 변기로부터 일정 거리에 위치하는 인체를 탐지하는 것에 의하여 변기의 사용 여부를 감지하는 접촉 센서로 구성되고, 관리 시스템은 탐지 센서와 접촉 센서로부터 전송된 신호를 처리하는 제어 유닛, 탐지 센서와 접촉 센서로부터 전달된 신호의 처리에 따라 개폐가 제어되는 전자 개폐 밸브 및 작동 상태에 대한 정보를 저장하고 일정 주기로 전송하는 근거리 무선 통신 유닛을 포함한다.