• 제목/요약/키워드: motion area

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Trends of Intellectual Property on Musculoskeletal Disorder, Motion Capture Technology and Ergonomics

  • Yoon, Sang-Young;Jung, Myung-Chul
    • 대한인간공학회지
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    • 제34권5호
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    • pp.437-445
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    • 2015
  • Objective: The aims of this study are to investigate the trends of intellectual property in order to identify the ergonomic approaches on musculoskeletal disorders, harmful factors of musculoskeletal disorders, and to find the potential applicability of motion capture technology. Background: Ergonomic posture assessment tools often showed interrater variance, though the usage is easy and practical in industrial fields. Moreover new technologies such as motion capture showed the potential applicability in posture assessment. So ergonomists and practitioners became interested in the intellectual properties on musculoskeletal disorder and motion capture technology. Method: Intellectual properties were collected with the combination of keywords such as ergonomic, musculoskeletal disorder, and motion capture using the KIPRIS (Korea Intellectual Property Rights Information Service). Collected intellectual properties were classified into ergonomic area and non-ergonomic area, except unexamined intellectual properties. This study investigated the trend of application of intellectual properties and the probability of using motion capture technology. Results: Few intellectual properties with ergonomic approach on musculoskeletal disorders were founded, despite many products for rehabilitation and sports. One hundred twenty five patents in 1105 patents on musculoskeletal disorders and 138 patents in 1908 patents on motion capture technology were classified into the patents that ergonomic approach can be applied. The patents related to ergonomics area are rapidly increasing after 2010, and there are good opportunities for ergonomists to apply the patents. Conclusion: This study found opportunities on novel methodology in detecting the harmful factors of musculoskeletal disorders, and that the motion capture technology is applicable in ergonomic posture assessment. Application: The results of this study can help ergonomists prepare the ergonomic patents, and can show the potential use of motion capture technology in detecting the harmful posture of musculoskeletal disorders.

비트패턴을 이용한 고속 워핑 예측 (Fast Warping Prediction using Bit-Pattern for Motion Estimation)

  • 강봉구;안재형
    • 한국멀티미디어학회논문지
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    • 제4권5호
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    • pp.390-395
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    • 2001
  • 본 논문에서는 비트패턴을 이용한 고속 워핑 예측을 제안한다. 워핑 예측은 이웃한 노드들의 움직임 벡터에서 움직임 정보를 가져오는 공간적인 의존성 때문에 최적의 움직임을 찾기 위해서는 반복적인 탐색을 요구한다. 반복적인 탐색에 의해 발생하는 연산량의 증가는 워핑 예측의 사용을 저해하는 큰 이유 중의 하나이다. 본 논문에서 제안한 방법은 비트패턴을 이용해서 움직임 여부를 판단한다 움직임이 없는 영역에서의 의미없는 움직임 예측을 제거하고, 움직임이 있는 영역에서만 워핑 예측을 수행함으로써 빠른 움직임 예측이 가능하게 된다. 제안된 방법으로 실험한 결과 기존의 워핑 예측을 수행했을 때보다 성능은 근접하면서도 연산량이 75% 이상 감소하였다

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Replica법을 이용한 성인 여성 유방 형태 분석에 관한 연구 (A Study on Analysis of Breast Shapes by Replica Experiments)

  • 이경화
    • 한국의류학회지
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    • 제21권4호
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    • pp.689-698
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    • 1997
  • The purpose of this study is to develop the well-fitted brassieres by observing the changes in the breast sizes and shapes, the surface area and the volume of the breast through the arm movements of 3 types (0$^{\circ}$, 90$^{\circ}$ and 180$^{\circ}$) in vertical motion. The subjects are females, who are aged twenties and wearing a brassiere size 70B, In particular, to obtain the measures regarding the surface area and the volume of the breast, replicas are made at each motion. The results of this study are as follows: 1. The changes in the breast sizes and shapes at each motion By increasing the motions of the arm movement, the following measure items are inclined to decrease: Shoulder length, Side neck point~B.P., Front neck point~B.P., Horizontal length of the cup, Upper bust circumference, Bust circumference, Upper bust depth, Bust depth, Under bust depth, Nipple to tipple breadth, Horizontal distance of bust, Bust height, Cup size. By increasing the motions of the arm movement, the following measure items are inclined to increase: Center point of shoulder~B.P., Shoulder point~B.P., Armpit~ lowest point of breast drooping, Upper bust point~B.P., B.P~Under bust point, Under bust line, Width of gap between breast, Vertical distance of Bust. 2. The changes in the surface area and volume of breast at each motion By making the replica to observe changes in the surface area, which are sectioned to 4 parts(area 1 to area 4) , and volume of breast at each motion, the results are as follows: At 0$^{\circ}$ and 90$^{\circ}$, the sizes of each part are ordered as the following: area2> areal> area4> area3. At 180$^{\circ}$, the sizes of each part are ordered as the following: areal> area2> area4> area3. Through these orders, it is found that the upper and inside part of the breast has the inclination to increase so long as the motions of the arm movement increase. Also, the total surface area increases so long as the motions of the arm movement increase. The volume of the breast increase when the surface area of the breast increases. As a result of the F-test on the changes in the each surface areas, the surface area and volume by arm movements, the significant differences among the each surface areas and the surface area are not found.

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손 동작 인식을 위한 Optical Flow Orientation Histogram (Optical Flow Orientation Histogram for Hand Gesture Recognition)

  • ;;오치민;이칠우
    • 한국HCI학회:학술대회논문집
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    • 한국HCI학회 2008년도 학술대회 1부
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    • pp.517-521
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    • 2008
  • Hand motion classification problem is considered as basis for sign or gesture recognition. We promote optical flow as main feature extracted from images sequences to simultaneously segment the motion's area by its magnitude and characterize the motion' s directions by its orientation. We manage the flow orientation histogram as motion descriptor. A motion is encoded by concatenating the flow orientation histogram from several frames. We utilize simple histogram matching to classify the motion sequences. Attempted experiments show the feasibility of our method for hand motion localization and classification.

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Deep Learning and Color Histogram based Fire and Smoke Detection Research

  • Lee, Yeunghak;Shim, Jaechang
    • International journal of advanced smart convergence
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    • 제8권2호
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    • pp.116-125
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    • 2019
  • The fire should extinguish as soon as possible because it causes economic loss and loses precious life. In this study, we propose a new atypical fire and smoke detection algorithm using deep learning and color histogram of fire and smoke. First, input frame images obtain from the ONVIF surveillance camera mounted in factory search motion candidate frame by motion detection algorithm and mean square error (MSE). Second deep learning (Faster R-CNN) is used to extract the fire and smoke candidate area of motion frame. Third, we apply a novel algorithm to detect the fire and smoke using color histogram algorithm with local area motion, similarity, and MSE. In this study, we developed a novel fire and smoke detection algorithm applied the local motion and color histogram method. Experimental results show that the surveillance camera with the proposed algorithm showed good fire and smoke detection results with very few false positives.

선체의 횡요와 어군탐지기의 탐지기능범위에 관하여 (Effects of Ship`s Roll Motion on the Detectable Area of Echo Sounder)

  • 박중희;신형일;이대재
    • 수산해양기술연구
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    • 제19권2호
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    • pp.93-98
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    • 1983
  • When detecting underwater targets using echo sounder, the echo signals varies with the angular displacement of the transducer due to ship's motion. Then, the effect of the angular which effects the capability of the echo sounder must be investigated in relation to the detection of fish concentration, particularly, the abundance estimation of fish. In this pater, as the basic research to investigate the effect of the ship's motion when estimating the fish stocks by acoustic methods, the authors was theoritically considered the variations in the values of the two way directivity function of transducer in the direction of the targets which caused by the angular motion of transducer. Here, the effects of the movement of target and ship's running are neglected. At the same time, the data was applied to estimate the angular shift of the detectable area of echo sounder due to transducer displacement. From the results analyzed, we found that the angular shift of the detectable area due to ship's motion increases both as the roll angle increases and as the beamwidth becomes narrower, varies with the depth.

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장갑 설계 적용을 위한 손동작에 따른 손체표의 길이변화 분석 (Analysis of Changes in Hand Length Dimensions by Hand Motion for Glove Design)

  • 권오채;선미선;정기효;이민정;연수민;유희천;김희은
    • 대한인간공학회지
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    • 제24권4호
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    • pp.1-5
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    • 2005
  • A glove design which reflects the changes in hand surface by hand motion can reduce the undesirable effects of use of gloves on hand performance. The present study examined changes in hand length dimensions due to hand motion and identified significant factors affecting the length changes. Recruiting 120 males and females in their 20s and 30s having various hand lengths, this study measured 10 hand length dimensions, defined at 2 hand areas(phalangeal and metacarpal areas) for 5 digits, when the hand is stretched and in fist, and then calculated the percentage of length increase for each dimension. ANOVA and simple-effect analyses showed the length change percentages were mainly different depending on digit and hand area: 111-127% at the phalangeal area and 112-116% at the metacarpal area. The length change percentages of the index, middle, ring, and little fingers in the phalangeal area ascended in order and showed a high correlation(r = 0.94)with the ranges of motion of the fingers.

손동작 식별 규칙을 이용한 컴퓨터의 프레젠테이션 제어 (Presentation control of a computer using hand motion identification rules)

  • 이규원
    • 한국정보통신학회논문지
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    • 제22권9호
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    • pp.1172-1178
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    • 2018
  • 손동작 인식을 통하여 컴퓨터 프레젠테이션을 제어하는 시스템을 제안한다. 제안하는 시스템은 손 동작의 다양한 운동 형태를 인식, 구분함으로써 부가적인 제어용 장치 없이 프레젠테이션을 제어한다. 손동작의 인식을 위하여 얼굴영역 검출과 손영역 검출을 시행한다. 하르분류기(Haar classifier)를 이용하여 얼굴영역을 검출하며, HSV 컬러모델상에서 피부 색상 정보에 따라 손영역을 검출한다. 얼굴 영역은 손동작의 시작과 끝, 동작의 크기 및 방향을 판단하는 기준으로 삼는다. 얼굴 영역으로부터 가로, 세로 중심축을 설정하고 제안하는 모션 식별룰에 따라 다양한 손동작을 인식하고 컴퓨터 제어에 이용한다. 약 1200회의 동작 인식 실험에서 97.2%의 인식률을 얻어 제안하는 알고리즘이 유효함을 확인하였다.

수종의 NiTi 전동 파일 단면 형태 비교 및 pecking motion의 사용방법이 피로 파절에 미치는 영향 (COMPARATIVE STUDY ON MORPHOLOGY OF CROSS-SECTION AND CYCLIC FATIGUE TEST WITH DIFFERENT ROTARY NITI FILES AND HANDLING METHODS)

  • 김재관;금기연;김의성
    • Restorative Dentistry and Endodontics
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    • 제31권2호
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    • pp.96-102
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    • 2006
  • 본 연구는 현재 시판중인 $Profile^{(R)},\;ProTaper^{(R)},\;K3^{(R)},\;Hero\;642^{(R)},\;Hero\;Shaper^{(R)}$를 단면을 비교하고 이들 5가지 NiTi 파일과 사용방법에 따른 피로 파절 소요 시간을 비교하고자 시행되었다. 각 NiTi전동파일의 치근단 1/3을 temporary resin에 매몰시키고 다이아몬드 표면처리된 버로 잘라내어, 초음파를 이용하여 세척 후, 주사전자현미경으로 단면을 관찰하였다. 주기적인 피로 실험을 수행하기 위해, 회전속도, pecking 거리를 자동적으로 조절할 수 있는 장치를 제작하고 파일을 만곡된 상태를 재현하기 위하여 15도 경사진 금속 토막에 위치시키고 분당 300회전의 속도로 회전시켜 파일이 파절될 때까지의 시간을 측정하였다. 사용방법에 따른 실험군은 동적군과 정적군으로 나누고 pecking 거리는 3 mm, 6 mm로 하였다. 실험결과 동적군 보다는 정적군의 피로파절 소요시간이 통계학적으로 유의차 있게 짧았으며 3 mm, 6 mm의 pecking distance에 따른 영향은 나타나지 않았다. 결론적으로 NiTi전동파일은 pecking motion으로 사용하는 것이 피로파절을 줄이는데 도움이 될 것으로 사료된다.

동작인식을 위한 배경 분할 및 특징점 추출 방법 (A Background Segmentation and Feature Point Extraction Method of Human Motion Recognition)

  • 유휘종;김태영
    • 한국게임학회 논문지
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    • 제11권2호
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    • pp.161-166
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    • 2011
  • 본 논문에서는 동작인식 위한 정확한 배경 분할 및 특징점 추출 방법을 제안한다. 배경 분할 과정에서는 먼저, HSV 입력 이미지를 RGB 색상 공간에서 HSV 색상 공간으로 변환한 뒤, H와 S 값에 대한 두 개의 임계치를 사용하여 살색 영역을 분할, 프레임간의 차영상을 이용하여 움직임이 있는 영역을 추출한다. 차영상에서 발생하는 잔상 영역을 제거하기 위하여 헤시안 어파인 영역 검출기를 적용하고, 잡음이 제거된 차 영상과 살색 영역의 이진화 영상을 이용하여 사람의 동작이 나타나는 영역을 분할한다. 특징점 추출 과정은 전체 영상을 블록 단위로 나눠서 각 블록 안에서 분할된 영상에 포함되는 픽셀들의 중점을 구하여 특징점을 추출한다. 실험결과 복잡한 환경에서도 정확한 배경 분할과 사용자 동작을 대표하는 특징점 추출이 약 12 fps로 가능함을 알 수 있었다.