• Title/Summary/Keyword: Pose Measurement

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Distortion Correction of Surface Temperature Measurement Using an Infrared Camera (적외선 카메라를 이용한 표면온도측정의 왜곡 보정)

  • Lee, Sungmin;Kim, Ikhyun;Lee, Jong Kook;Byun, Yunghwan;Park, Gisu
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.44 no.7
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    • pp.545-551
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    • 2016
  • Surface temperature of supersonic wind tunnel model was measured using an infrared thermography technique. To measure the temperature quantitatively, various calibration techniques such as blackbody calibration which converts detected camera signal to temperature, distortion correction due to the camera lens and an imbalance of camera pose, and emissivity calibration which considers viewing angles to the model surface, were employed. Throughout the study, for the quantitative as well as qualitative surface temperature measurement, it was verified that the distortion correction must be considered even for the use of two-dimensional model in aerodynamics testing.

Cyberspace and survey research: The methodological implications and issues of online survey research (사이버공간과 사회조사:온라인 사회조사의 쟁점과 과제)

  • 조동기
    • Survey Research
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    • v.1 no.1
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    • pp.73-108
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    • 2000
  • This study investigates methodological implications of cyberspace and information technology for online survey research Online survey method provides useful methodological tools for collecting empirical data for the study of cyberspace, In terms of sampling frame , selection method, and questionnaire from four major types of the online survey research can be found: member survey visitor survey e-mail survey and the electronic survey. Online survey research with sample design(population specification error. sampling frame error, selection error) measurement (measurement instrument bias system-related processing error, nonrespone, and response bias) and research ethics (privacy and netiquette) pose important methodological issues for the survey. The realization of the technological possibilities of online survey will be possible only through a right consideration of these issues.

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Estimating Location in Real-world of a Observer for Adaptive Parallax Barrier (적응적 패럴랙스 베리어를 위한 사용자 위치 추적 방법)

  • Kang, Seok-Hoon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.12
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    • pp.1492-1499
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    • 2019
  • This paper propose how to track the position of the observer to control the viewing zone using an adaptive parallax barrier. The pose is estimated using a Constrained Local Model based on the shape model and Landmark for robust eye-distance measurement in the face pose. Camera's correlation converts distance and horizontal location to centimeter. The pixel pitch of the adaptive parallax barrier is adjusted according to the position of the observer's eyes, and the barrier is moved to adjust the viewing area. This paper propose a method for tracking the observer in the range of 60cm to 490cm, and measure the error, measurable range, and fps according to the resolution of the camera image. As a result, the observer can be measured within the absolute error range of 3.1642cm on average, and it was able to measure about 278cm at 320×240, about 488cm at 640×480, and about 493cm at 1280×960 depending on the resolution of the image.

The Methodology of the Golf Swing Similarity Measurement Using Deep Learning-Based 2D Pose Estimation

  • Jonghyuk, Park
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.1
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    • pp.39-47
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    • 2023
  • In this paper, we propose a method to measure the similarity between golf swings in videos. As it is known that deep learning-based artificial intelligence technology is effective in the field of computer vision, attempts to utilize artificial intelligence in video-based sports data analysis are increasing. In this study, the joint coordinates of a person in a golf swing video were obtained using a deep learning-based pose estimation model, and based on this, the similarity of each swing segment was measured. For the evaluation of the proposed method, driver swing videos from the GolfDB dataset were used. As a result of measuring swing similarity by pairing swing videos of a total of 36 players, 26 players evaluated that their other swing sequence was the most similar, and the average ranking of similarity was confirmed to be about 5th. This ensured that the similarity could be measured in detail even when the motion was performed similarly.

Implementation of Yoga Posture Training Application Using Google ML Kit (Google ML Kit를 이용한 요가 자세 훈련 애플리케이션 구현)

  • Kim, Hyoung Min;Yoon, Jong Hyeon;Park, Su Hyun;Yu, Yun Seop
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.10a
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    • pp.178-180
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    • 2022
  • An application implementation that allows users to train yoga posture based on the landmark of yoga posture of yoga instructors obtained from the Google Firebase ML Kit was introduced. Using the ML Kit, the user's posture is classified and landmarks corresponding to each joint are obtained. The accuracy measurement reference value for the yoga posture is set through the angle formed by the joints of the obtained landmark. The accuracy between the reference landmark for the yoga posture of professional yoga instructors and the landmark for the user's pose through the ML Kit was compared. According to the accuracy reference value, information on malfunction and correct motion is provided to the user through Text-to-Speech (TTS). Users are managed effectively with Firebase, and a system that displays the amount of exercise through a counter and timer when the user performs an exercise that meets the accuracy reference value was explained.

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Sensor Model Design of Range Sensor Based Probabilistic Localization for the Autonomous Mobile Robot (자율 주행 로봇의 확률론적 자기 위치 추정기법을 위해 거리 센서를 이용한 센서 모델 설계)

  • Kim, Kyung-Rock;Chung, Woo-Jin;Kim, Mun-Sang
    • Proceedings of the KIEE Conference
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    • 2004.11c
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    • pp.27-29
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    • 2004
  • This paper presents a sensor model design based on Monte Carlo Localization method. First, we define the measurement error of each sample using a map matching method by 2-D laser scanners and a pre-constructed grid-map of the environment. Second, samples are assigned probabilities due to matching errors from the gaussian probability density function considered of the sample's convergence. Simulation using real environment data shows good localization results by the designed sensor model.

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Data Transition Research to Derive Shape Factor in Analyzing Factors -Centering on the body shape of males in twenties- (요인분석시 형태요인을 도출시키기 위한 자료 변환 연구 - 20대 남성 체형을 중심으로 -)

  • 석혜정;김인숙
    • Journal of the Korean Home Economics Association
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    • v.40 no.2
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    • pp.67-86
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    • 2002
  • The purpose of this research is to offer a method to derive the body shapes and pose factors with resets from analyzing factors by using the measurement values of human body. 297 male subjects in their twenties participated in this study. 54 anthropometric and 35 photographic measurements were taken from each subject. Data is the several typical items selected among items and you have to make an index value by using these typical items and convert it. The index has high correlation with each item, is easy to be measured and is to be used after selecting an important item in designing prototype. With results of analyzing reliability level by each item, correlation and items that factor loading is low, the item that the correlation is high is to be removed within the range that maintains the reliability level. Five factors of the front part and seven factors of the profile came to be derived from this kind of process.

Tracking of a Moving Target Using the Accumulated Ultrasonic Image (초음차 응답 누적영상을 이용한 이동물체 추적)

  • Han, Moon-Yong;Hahn, Hern-Soo
    • Journal of Institute of Control, Robotics and Systems
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    • v.6 no.2
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    • pp.164-172
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    • 2000
  • To follow a moving target keeping a certain distance it is essential for a mobile robot to detect the target first and to measure its pose and velocity. This paper proposes a new solution for this problem using the accumulated ultrasonic image which is constructed by accumulating the returned ultrasonic signal along the time axis for a certain number of measurement periods. A moving target is separated by selecting the trajectory whose inclination is different from others in the imag since the inclination of a trajectory represents the relative speed of the target against the mobile robot. The proposed algorithm was implemented on a mobile robot and has shown that the robot follows a moving target successfully.

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Solid medium integrated impedimetric biosensor for detection of microorganisms (미생물 검침을 위한 고체 배지 임피던스 센서)

  • Choi, Ah-Mi;Park, Jae-Sung;Jung, Hyo-Il
    • Proceedings of the KSME Conference
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    • 2008.11a
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    • pp.1629-1632
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    • 2008
  • Rapid, real-time detection of pathogenic microorganisms is an emerging and quickly evolving field of research, especially with regard to microorganisms that pose a major threat to public health. Herein, a new method that uses bioimpedance and solid culture medium for the real-time detection of microorganisms is introduced. We fabricated a new impedimetric biosensor by integrating solid media and two plane electrodes attached on two facing sides of an acryl well. During bioelectrical impedance analysis, the solid medium showed the characteristics of a homogenous conductive material. In a real-time impedance measurement, our solid-medium biosensor could monitor bacterial growth in situ with a detection time of ${\sim}4$ hrs. Our data indicate that the solid-medium biosensor is useful for detecting airborne microorganisms, thereby providing a new analytical tool for impedance microbiology.

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A Study of the Localization and Classification of Target Using Ultrasonic Sensors (초음파 센서를 이용한 측정면의 분류와 위치 측정에 관한 연구)

  • Lim, Hee-Seop;Go, Min-Su;Lee, Eung-Hyuk;Hong, Seung-Hong
    • Proceedings of the KIEE Conference
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    • 2002.11c
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    • pp.370-373
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    • 2002
  • This paper proposes a new measurement system determine the localization and the type of object which use only three ultrasonic sensors, one the transmitter, one the receiver and one transduce doing both transmitter and receiver. this system can classifies the type and determines the pose of the target object. it used the method of Pseudoamplitude Scan. So it significantly simple the sensing system and reduce the signal processing time so that the working environment can be recognized in real time.

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