• 한국정보디스플레이학회:학술대회논문집
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• 2009.10a
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• pp.408-410
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• 2009

First demonstrators of bi-directional OLED microdisplay devices have been developed and integrated into see-through HMD optics. The device combines 'display' and 'imaging' by nested OLED pixels and photodetectors in a single CMOS chip. Major aim of this integration is to provide capabilities for eyetracking to achieve gaze-based human-displayinteraction.

• Proceedings of the KIEE Conference
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• 1998.11b
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• pp.549-551
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• 1998

This paper deals with the new gait implementation of biped walking robot(IWR-III). In the case of using old gait. The trunk should be stopped during the phase changing time. But using new gait, the trunk moves continuously for all walking time. As a result, IWR-III has a walking gait similar to human being, and the motion of balancing joints can be reduced by the trunk ahead effect in the double support phase, moreover, ZMP tracking is improved, therefore the stability of IWR-III is improved. The trajectory is planned with a 5th order spline interpolation and stability of IWR-III is certified with a biped simulator.

• The Journal of the Acoustical Society of Korea
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• v.29 no.1E
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• pp.11-27
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• 2010

Nowadays, ultrasound Doppler imaging is widely used in assessing cardiovascular functions in the human body. However, a major drawback of ultrasonic Doppler methods is that they can provide information on blood flow velocity along the ultrasound beam propagation direction only. Thus, the blood flow velocity is estimated differently depending on the angle between the ultrasound beam and the flow direction. In order to overcome this limitation, there have been many researches devoted to estimating both axial and lateral velocities. The purpose of this article is to survey various two-dimensional velocity estimation methods in the context of Doppler imaging. Some velocity vector estimation methods can also be applied to determine tissue motion as required in elastography. The discussion is mainly concerned with the case of estimating a two-dimensional in-plane velocity vector involving the axial and lateral directions.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2016.11a
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• pp.19-20
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• 2016

비디오로부터 객체를 검출하기 위해서는 오프라인에서 미리 객체를 검출할 수 있는 분류기가 학습되어있어야 한다. 이러한 분류기는 훈련에 사용된 훈련 집합에 매우 의존적이어서, 다양한 환경의 비디오 영상에 모두 적용할 수 있는 분류기의 설계는 불가능하다. 또한 분류기의 학습을 위해서는 상당히 많은 수의 훈련 집합이 필요하므로, 이는 신뢰도 높은 분류기 학습을 위한 높은 비용을 초래한다. 본 논문에서는 이러한 문제를 해결 할 수 있는 온라인 학습 기반 사람 추적 방법을 제안한다. 실험 영상으로부터 적절하게 훈련 집합을 수집함으로써 해당 실험 영상에 최적화된 분류기의 학습이 가능하며, 다양한 환경의 영상에 적용적으로 설계될 수 있다.

• Proceedings of the ESK Conference
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• 1994.04a
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• pp.158-170
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• 1994

인간-기계 시스템이 점차적으로 복잡하고 거대해짐에 따라 인간-기계 계면(man-machine interface)에서의 인간은 근운동을 요하는 육체적 작업에서 경계(vigilance), 제어(control), 감시 (monitoring), 추적(tracking) 등 정신적 업무로그 역할이 전이되는 등 시스템내에서의 인적요소의 중요성이 더욱 증가되고 있다. 이러한 시스템내에서의 주된 계면은 표시장치(display)와 제어장치 (control)들이며, 이들에 대한 인간공학적 설계와 배치가 효율적인 인간-기계 계면의 중요한 설계 요인이 된다. 본 연구에서는 동일한 작업에 대해 서로다른 배치를 가진 4개의 컴퓨터 시뮬레이션 표시장치 panel 실험을 통하여 panel 제어 작업에서의 표시장치와 제어장치의 설계형태나 배치에 따라 발생하는 인적오류를 정량적으로 예측, 검출하는 것을 그 목적으로 한다. 그리고 각 panel에 따른 수행도 척도로서 작업수행시간(operation time)과 오류율(error rate)을 검출하고, 그 결과에 의한 인적 오류 예측모형을 제시하여 인적오류를 감소시키는 보다 나은 panel을 설계하는데 활용가능 하게 하고, 더 나아가서는 인간신뢰성 기법에 적용시킬 수 있도록 기초자료를 분석하고 제시하고자 한다.

• Proceedings of the Korea Society for Simulation Conference
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• 2005.05a
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• pp.149-153
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• 2005

In the cardiovascular system, the waveform of the pulsatory blood pressure appears variously due to the cardiac impulse and compliance of blood vessels and arm tissue. We have constructed a blood pressure simulator to investigate effects of mechanical properties of artery walls and tissue on blood pressure measurements. The blood pressure simulator is designed to reproduce wave forms of blood pressure in human arteries. To minimize tracking error, we use a linear control valve, and adapt a hybrid control scheme which consists of a feedback controller and a feedforward controller. Any form of the pressure wave can be reproduced, changing function of the wave form in the computer connected to the simulator for control. From experiments, it has been shown that the simulator reproduces wave forms very well, and that the hybrid scheme adapted is superior to the feedback controller.

• Journal of Satellite, Information and Communications
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• v.9 no.4
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• pp.16-19
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• 2014

In this paper, the beacon signals of WiFi doppler frequency detection based WiFi-AP was designed with the subcarrier between a transmitter and a receiver of WLAN(wireless LAN). We can use such signals to identify human moving as an antenna array and tracking of RF beam. This wireless security services with the combination of WiFi doppler frequency and adaptive beacon time signal was proposed for wireless detection and motion based services.

• Smart Media Journal
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• v.8 no.4
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• pp.53-57
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• 2019

In this paper, we propose a flex sensor-based data glove to track the movements of human fingers for virtual reality education. By putting flex sensors and utilizing an accelerometer, this data glove allows people to enjoy applications for virtual reality (VR) or augmented reality (AR). With the maximum and minimum values of the flex sensor at each finger joint, it determines an angle corresponding to the bending value of the flex sensor. It tracks the movements of fingers and hand gestures with respect to the angle values at finger joints. In order to prove the effectiveness of the proposed data glove, we implemented a VR classroom application.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.2 no.3
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• pp.71-78
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• 2009

In this study, estimation of heart rate from measured PPG signal is proposed. PPG signal is to be measured blood flow in a blood vessel effected by systole and diastole. PPG sianl has single frequency so that PPG frequency can be tracked by 2nd IIR adaptive notch filter. PPG frequency is obtained continually from updating filter coefficient throughout adaptive algorithm and then the heart rate of human is approximately estimated.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 1996.09a
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• pp.117-124
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• 1996

When navigating in or near an area of restricted visibility it is necessary to be heard the whistle bell and/or the siren of lighthouses or ships at times. Even though we can get the brief informations about the property of sound the direction and range of a sound radiator it is not easy to get the accurate informations for decision making. generally the audio frequency is known as 16-20,000Hz but the earshot is shorten and discrimination of sound is more difficult when there is some noise. The sound pressure is 60dB at the moment when human speaks 1 meter away. Usually the noise pressure in a silent room is 40dB and 60dB on the quiet street. In this study we suggest the basic algorithm to trace the direction and range of the source radiator using the signal received through not a physical sense but the microphone sensors and a series of signal of signal processing.