• Title/Summary/Keyword: Posture measurement system

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Implementation of Personalized Rehabilitation Exercise Mobile App based on Edge Computing

  • Park, Myeong-Chul;Hur, Hwa-La
    • 한국컴퓨터정보학회논문지
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    • 제27권12호
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    • pp.93-100
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    • 2022
  • 본 논문에서는 엣지 컴퓨팅 기반의 개인 맞춤형 운동 정보수집 시스템을 활용하여 개인 맞춤형 재활 운동 코칭 및 관리 서비스를 위한 모바일 앱을 제안한다. 사용자의 입력 정보에 의존하는 기존 관리 방식은 실질적인 재활 가능성을 타진하기에 어려움이 있다. 본 논문에서는 원격지의 엣지 컴퓨팅 기반의 영상정보에 대한 분석을 통하여 신체 관절정보와 함께 운동 정보를 수집하여 해당 운동의 시간 및 정확도를 측정하고 올바른 자세정보를 통한 재활 진척도를 제공하는 애플리케이션을 구현한다. 또한, 재활 센터의 측정 장비와 연동하여 건강상태를 관리할 수 있으며, 운동정보의 정확도 및 경향성 분석 정보를 제공한다. 본 연구의 결과를 통하여 비대면 환경에서의 자가 재활 운동에 따른 관리 및 코칭이 가능할 것으로 사료된다.

선 자세에서의 인체 관절의 지각 불편도 측정 (Measurement on Perceived Human Body Joints Discomfort in the Standing Posture)

  • 기도형
    • 산업공학
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    • 제10권3호
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    • pp.197-208
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    • 1997
  • In workplace design, an ergonomic solution should ensure low postural stress in the operator during his/her work. Stress caused by awkward working postures of the trunk, shoulders and legs can result in fatigue, discomfort, musculo-skeletal disorders and nerve entrapment syndromes. Since discomfort and musculo-skeletal disorders are both related to exposure to biomechanical load on the musculo-skeletal system, minimization of discomfort will contribute to reduction of the risk for musculo-skeletal disorders as well. Therefore, in this study, perceived discomfort on the human body joints was measured in the standing postures using the magnitude estimation in order to have a standardized numerical scale for joint discomfort. Nine healthy graduate students participated voluntarily in the laboratory study. The results revealed that perceived discomfort of all the joints increased as the joints deviated from neutral position. Especially, it showed drastic increment on perceived discomfort when deviation from neutral position in each human body joint increased from 75% to 100%. in terms of relative range of motion(R0M). On the basis of these experimental results, a preliminary ranking for assessment of stressfulness of non-neutral postures around the human body joints was suggested.

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체형교정을 통한 비만치료에 대한 소고(小考) (A Study on Obesity Management by Body Shape Correction Program)

  • 임형호;송윤경
    • 한방비만학회지
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    • 제5권1호
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    • pp.133-140
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    • 2005
  • The prevalence of obesity at all ages in increasing epidemically worldwide. There were many study of an indirect method on fat mass measurement in obesity, but were few study to determine the possible relationships between local fat deposition and health-related fitness parameters in overweight and obesity. We has reviewed on the somatotype characteristics, ideal posture and biomechanics, and adipose tissue of connective tissue, myofacia continuity. We consider that these unique 'whole systems' view is of vital importance to understanding the role of adipose tissue in musculoskeletal system and to application of body shape correction program.

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RLSM을 이용한 안구운동의 저속도 측정방법에 대한 연구 (A Method for Slow Component Velocity Measurement of Nystagmus Eye Movements using RLSM)

  • 김규겸;고종선;박병림
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2002년도 전력전자학술대회 논문집
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    • pp.455-458
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    • 2002
  • A control of the body posture and movement is maintained by the vestibular system, vision, and proprioceptors. Especially, vestibular system has a very important function that controls the eye movement through vestibuloocular reflex and contraction of skeletal muscles through vestibulospinal reflex. However, postural disturbance caused by loss of vestibular function results in nausea, vomiting, vertigo and loss of craving for life. Lose of vestibular function leads to abnormal reflex of eye movements named nystagmus. Analysis of the nystagmus is needed to diagnose the vertigo, which is performed by means of electronystagmography (ENG). The purpose of this study is to develop a computerized system for data processing and an algorithm for the automatic evaluation of the slow component velocity (SCV) of nystagmus Induced by optokinetic(OKN) stimulation system. A new algorithm using recursive least square method (RLSM) to detect SCV of nystagmus is suggested in this paper. This method allows a fast and precise evaluation of the nystagmus, through artifact rejection techniques. The results are depicted in this paper.

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3D 초음파센싱 자동물류부피측정 및 분류관리 임베디드시스템 구현 (Realization for Automatic Stock Cubic Measuring and Distributing Management Embedded System with 3D Ultrasonic Sensing)

  • 이은억;류광렬;허창우
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2007년도 추계종합학술대회
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    • pp.285-288
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    • 2007
  • 3차원 초음파 센싱에 의해 획득한 데이터로부터 물체의 부피를 자동으로 측정하고 분류적재 관리하는 임베디드시스템을 프로세서 기반으로 구현한다. 부피측정은 3개의 초음파 센서에서 획득한 데이터에서 높이와 폭은 물체가 컨베이어를 통과할 때 3 값을 기준 값과 비교하여 측정하고 길이는 물체가 처음 감지된 시점부터 범위를 벗어날 때까지의 시간을 물체의 이동속도에 대입하여 측정한다. 또한 센서의 온도 변화에 속도가 변하기 때문에 환경에 따라 보정하고 물체가 정방향이 아닐 경우 센싱값을 평균하여 오차를 줄인다. 실험은 직육면체를 기준하였으며 포장된 물류를 크기별로 분류하고 창고 및 이동체에 적재 할 경우 실용적으로 활용가능성을 높인다.

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병원 간호업무의 유형별 근골격계 위험수준 (Work Related Musculoskeletal Risk Level with Nursing Tasks in Hospital)

  • 이종은;김순례
    • 한국직업건강간호학회지
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    • 제12권1호
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    • pp.31-38
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    • 2003
  • This study is an attempt to analyze the physical load by the type of the nursing tasks at the neurosurgical ICU nurses through the quantitative analysis of the working postures by the type of the nursing tasks with the OWAS(Ovako Working Postures Analysis System). Data collection was conducted through the video recording of the 13 nurses working at the neurosurgical ICU. For the analysis of the work postures by the type of the nursing tasks, and were interviewed regarding the subjective degree of the difficulties with the work postures related to the tasks. Collected data was analyzed through the WinOWAS program. The results were as follows : AC3 or AC4 tasks among the 18 nursing tasks types are "occupied bed making and change of the patient gown", "back massage", "suction", "elimination management", "change of position", "adjustment of bed", "helping the patient to move","measurement of CVP"and "measurement of urine volume". It appears that these tasks are harmful to the musculoskeletal system and the improvement or change of the work is required. The results stated above indicate that improper working postures during the nursing tasks influence the musculoskeletal system. Therefore, making use of assistant devices for the improvement of the working environment at the nursing tasks, based on human technological diagnoses, is required regarding the duty types with massive work pressure known to be harmful to the musculoskeletal system among those performed by the nurses. And there is a need of the education about the employment and maintenance of the vocational back pain prevention.

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롤 회전을 이용한 장입유도탄 비정렬각 산출기법 (A Calculation Method for the Tilt Angle of Missile Round using Roll Rotation)

  • 박동현
    • 한국항행학회논문지
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    • 제22권6호
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    • pp.500-506
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    • 2018
  • 본 논문에서는 유도탄의 정확한 자세를 알기 위해 주 관성항법장치와 유도탄 내부 관성항법장치를 이용하는 one-shot 정렬에 대해 고려하였다. One-shot정렬을 수행하기 위해서는 주 관성항법장치와 부 관성항법장치 사이의 비정렬각을 구해야 되는데, 장입유도탄과 부 관성항법장치 사이의 비정렬각을 구하여 보상하면 된다. 비정렬각은 장입유도탄의 롤 회전을 이용하여 산출되며, 장입유도탄을 회전하기 위한 정렬용 치구, 장입유도탄의 수평 상태를 측정하기 위한 수평각도계와 인터페이스 구조물이 제작되었다. TAS(tilt angle save) 점검 결과, 비정렬각 ${\alpha}$, ${\beta}$, ${\gamma}$ 값이 정상 범위이며 이 값을 보상하여 one-shot 정렬을 수행할 수 있다.

지능형 대퇴의족 사용자의 보행 의도 추정을 위한 소켓 내 압력 변화 측정 센서 개발에 관한 연구 (A Study on the Development of In-Socket Pressure Change Measurement Sensor for Estimation Locomotion Intention of Intelligent Prosthetic leg User)

  • 박나연;엄수홍;이응혁
    • 전기전자학회논문지
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    • 제26권2호
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    • pp.249-256
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    • 2022
  • 대퇴의족은 절단하지를 대체하여 보행을 수행하는 기기이며, 불연속적으로 변하는 보행 환경에 대응하기 위해 사용자의 의도 제공을 통한 보행 모드 변경을 요구한다. 외부의 제어 기기 없는 자연스러운 보행 모드 변경을 위한 요구로 절단 부위와 직접 접촉하는 소켓 내부의 생체 역학적 특징을 통해 사용자의 의도를 검출하는 연구가 수행되어 왔다. 하지만 아직까지 절단 부위의 신체 및 소켓 내부 환경에 적합한 센서 시스템의 요구가 남아있다. 따라서 본 연구에서는 절단 부위의 신체 특성에 적합하고 소켓 내부 온습도 조건에 영향을 받지 않으며 다양한 크기의 제작이 쉬운 필름 형태의 센서 시스템을 제안하였다. 제안된 센서는 Velostat 필름으로 제작되었으며 크기에 따라 달라지는 압력 계측 특성이 고려되었다. 실험을 통해 착용자의 의도적인 자세 수행에 의한 소켓 내부 압력 변화를 계측하였으며 보행 모드 변경 의도 검출의 가능성을 확인하였다.

Artificial Neural Network for Quantitative Posture Classification in Thai Sign Language Translation System

  • Wasanapongpan, Kumphol;Chotikakamthorn, Nopporn
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2004년도 ICCAS
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    • pp.1319-1323
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    • 2004
  • In this paper, a problem of Thai sign language recognition using a neural network is considered. The paper addresses the problem in classifying certain signs conveying quantitative meaning, e.g., large or small. By treating those signs corresponding to different quantities as derived from different classes, the recognition error rate of the standard multi-layer Perceptron increases if the precision in recognizing different quantities is increased. This is due the fact that, to increase the quantitative recognition precision of those signs, the number of (increasingly similar) classes must also be increased. This leads to an increase in false classification. The problem is due to misinterpreting the amount of quantity the quantitative signs convey. In this paper, instead of treating those signs conveying quantitative attribute of the same quantity type (such as 'size' or 'amount') as derived from different classes, here they are considered instances of the same class. Those signs of the same quantity type are then further divided into different subclasses according to the level of quantity each sign is associated with. By using this two-level classification, false classification among main gesture classes is made independent to the level of precision needed in recognizing different quantitative levels. Moreover, precision of quantitative level classification can be made higher during the recognition phase, as compared to that used in the training phase. A standard multi-layer Perceptron with a back propagation learning algorithm was adapted in the study to implement this two-level classification of quantitative gesture signs. Experimental results obtained using an electronic glove measurement of hand postures are included.

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동작시 3D 정보를 이용한 2D 패턴 전개 및 신축성 원단의 신장률을 고려한 사이클 팬츠 개발 (Development of 2D Patterns for Cycling Pants using 3D Data of Human Movement and Stretch Fabric)

  • 정연희;홍경희
    • 한국생활과학회지
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    • 제19권3호
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    • pp.555-563
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    • 2010
  • With recent advances in 3D scanning technology, three-dimensional (3D) patternmaking is becoming a powerful way to develop garments pattern. This technology is now applicable to the made to measure (MTM) system of both ordinary and tightly fitting garments. Although the pattern of fitted clothing has been developed using 3D human data, it is still interesting to develop cycling pants by considering while-cycling body posture and fabric elasticity. This study adopted the Garland's triangle simplification method in order to simplify data without distorting the original 3D scan. Next, the Runge-Kutta method (2C-AN program) was used to develop a 2D pattern from the triangular pixels in the 3D scanned data. The 3D scanned data of four male, university students aged from 21 to 25, was obtained using Whole body scanner (Model WB4, Cyberware, Inc., USA). Results showed the average error of measurement was $4.58cm^2$ (0.19%) for area and 0~0.61cm for the length between the 3D body scanned data and the 2D developed pattern data. This is an acceptable range of error for garment manufacture. Additionally, the 2D pattern developed, based on the 3D body scanned data, did not need ease for comfort or ease of movement when cycling. This study thus provides insights into how garment patterns may be developed for ergonomic comfort in certain special environments.