• Title/Summary/Keyword: 운동학적 데이터

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Computation of Ground Reaction Forces During Gait using Kinematic Data (보행의 운동학적 데이터를 이용한 지면반발력 계산)

  • Song, Sung-Jae;Kim, Sei-Yoon;Kim, Young-Tae;Lee, Sang-Don
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.34 no.4
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    • pp.431-437
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    • 2010
  • The purpose of this study is to compute the ground reaction forces during gait in the absence of force plates. The difficulties in using force plates for hemiparetic patients inspired us to initiate this study. Level-walking experiments were performed using a three-dimensional motion analysis system with synchronized force plates. Kinematic data were obtained from the three-dimensional trajectories of reflective markers. Gait events were also detected from the kinematic data. The human body was modeled as 13 rigid segments. The mass and the center of mass of each segment were determined from anthropometric data. Vertical ground-reaction forces obtained from the kinematic data were in good agreement with those obtained using the force plate. The computed and measured values of anterior and lateral ground reaction showed similar tendencies. The computation results can be used as the basic data for inverse dynamic analysis.

Bone age-based big data analysis of the biological maturity of adolescents (골연령 기반 유소년 생물학적 성숙도 빅데이터 분석)

  • Bae, Sang-joon;Kim, Dongho
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2022.01a
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    • pp.153-154
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    • 2022
  • 본 논문에서는 역연령으로 구분되었던 기존 생물학적 성숙도에 기반한 체력 지표가 아닌 골성숙도를 활용한 생물학적 성숙도에 기반하여 유소년의 신체에 맞는 체계적인 운동을 추천하는 기법을 제안한다. 이를 통해 유소년의 성장기에 개인화된 운동능력 발달을 성취하게 함으로써 국민 체력 증진에 기여하고 체육 공교육 활성화 및 유소년 피트니스 관리 산업 발전에 도움이 될 것으로 기대한다.

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A Kinematic Approach to Answering Similarity Queries on Complex Human Motion Data (운동학적 접근 방법을 사용한 복잡한 인간 동작 질의 시스템)

  • Han, Hyuck;Kim, Shin-Gyu;Jung, Hyung-Soo;Yeom, Heon-Y.
    • Journal of Internet Computing and Services
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    • v.10 no.4
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    • pp.1-11
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    • 2009
  • Recently there has arisen concern in both the database community and the graphics society about data retrieval from large motion databases because the high dimensionality of motion data implies high costs. In this circumstance, finding an effective distance measure and an efficient query processing method for such data is a challenging problem. This paper presents an elaborate motion query processing system, SMoFinder (Similar Motion Finder), which incorporates a novel kinematic distance measure and an efficient indexing strategy via adaptive frame segmentation. To this end, we regard human motions as multi-linkage kinematics and propose the weighted Minkowski distance metric. For efficient indexing, we devise a new adaptive segmentation method that chooses representative frames among similar frames and stores chosen frames instead of all frames. For efficient search, we propose a new search method that processes k-nearest neighbors queries over only representative frames. Our experimental results show that the size of motion databases is reduced greatly (${\times}1/25$) but the search capability of SMoFinder is equal to or superior to that of other systems.

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Time-frequency Analysis of Train Vibration Using Order Analysis and Correlation (오더분석 및 상관관계를 활용한 철도차량 진동 데이터의 시간-주파수 분석)

  • Choi, Sung-Hoon;Igusa, Takeru;Park, Choon-Soo
    • Journal of the Korean Society for Railway
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    • v.12 no.6
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    • pp.989-995
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    • 2009
  • Short-time Fourier transforms (STFT) are useful for analyzing signals with harmonics that vary with time. If the variation of the harmonics with time is smooth, such as in kinematic vibrations in vehicles, then it is possible to improve the STFT using order spectra and correlation analysis. In this paper, it is shown how correlation analysis can be performed when the speed signal is noisy or unknown and then it is shown how order spectra become simple to compute after this analysis. The results are illustrated by an analysis of axle and car body vibrations in the prototype high-speed train, HSR-350x.

Biomechanical Analysis of the Human Foot by Using Passive Elastic Characteristics of Joints (관절의 수동탄성특성을 이용한 족부의 생체역학적 해석)

  • 김시열;최현기
    • Journal of the Korean Society for Precision Engineering
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    • v.21 no.1
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    • pp.197-204
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    • 2004
  • In this study we presented kinematic and kinetic data of foot joints using approximated equations and partial plantar pressure during gait. The maximum angular displacements of each tarsometatarsal joint were found to range from 4$^{\circ}$to 7$^{\circ}$ and the maximum moments were from 200Nㆍcm to 1500Nㆍcm. It was relatively wide distribution. Foot kinematic data calculated from the approximated equations, which were represented by the correlation between moment and angular displacement, and the data from motion analysis were similar. We found that the movements of foot joint were mainly decided by the passive characteristics of the joint when ground reaction force acts. The method of kinematic and kinetic analysis using approximated equations which is presented in this study is considered useful to describe the movements of foot joints in gait simulations.

Analysis of Lower Extremity Muscle Force Variations during the Gait Cycle with Optimization Method (보행 시 하지근육 역할에 대한 최적화 기법적 해석)

  • Jeon Eungsik;Kim Young Eun
    • Journal of Biomedical Engineering Research
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    • v.24 no.6 s.81
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    • pp.509-514
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    • 2003
  • A mathematical model of human gait was developed to calculate the muscle forces of the lower extremity during walking. The musculoskeletal model consisted of 7 segments and 16 lower extremity muscles. The muscle forces variation during the gait calculated with optimization technique showed a good agreement with previously reported experimental results, mostly EMG variation. Moreover, the resulting joint torques matched well with those from the kinematic data and the inverse dynamics.

Influence of sociopsychological aspects, smoking habit, exercise habit on the intentions of drink-driving (사회심리학적인 요인들, 흡연습관, 운동습관이 음주운전 의도에 미치는 영향)

  • Lee, Ki Hyeong;Kwon, Yong Man
    • Journal of the Korean Data and Information Science Society
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    • v.26 no.1
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    • pp.21-29
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    • 2015
  • The purpose of this paper was to investigate various factors influencing the intentions of drink-driving from multiple perspectives, in order to uncover ways to reduce the number of motor accidents caused by drink-driving. We examined sociopsychological aspects as well as driver's life styles such as smoking habit and exercise habit. Perception of behaviour controls among drink-driver' sociopsychological characteristics had the highest influence on the intentions of drink-driving, followed by influence of smoking and exercise on the intentions of drink-driving. This finding indicates that driver' life style such as smoking habit or exercise habit influences more on the intentions of drink-driving than attitude toward drink-driving or subjective regulations, which affirms that driver' life style such as smoking habit or exercise habit has significant effects on the intentions of drink-driving. Therefore, it is concluded that rehabilitative curriculum for drink-drivers should include a program to diminish drink-driving through nonsmoking and exercise habit.

The Scientific Analysis of Aged' Shoe for Health Promotion (노인 건강증진용 신발의 운동과학적 효과분석)

  • Jin, Young-Wan;Kwak, Yi-Sub
    • Journal of Life Science
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    • v.21 no.9
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    • pp.1336-1345
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    • 2011
  • The purpose of this study was to analyze and compare the effects of exercise science of shoes for Aged' health promotion. Kinematic and kinetic data were collected using cinematography and the Zebris system (Zebris Emed Sensor Platform, GR-DVL9800) to analyze pressure of foot and ground reaction force. Subjects recruited were 20 healthy elderly men. They walked at 1.36m/sec velocity wearing type A (domestic), type B (foreign) and walking shoes (A company). One-way ANOVA was used to analyze statistics. The results were as following: no significant differences were observed in gait variables among the three groups (p<0.05). There was a significant difference in max pronation angle of heels examined among the three groups (p<0.05). There were no significant differences in kinetic variables (ground reaction force and max pressure) among the three groups (p<0.05). A physiology study was performed to analyze the effects of walking with shoes with silver added to them on percent body fat, resting metabolic rate and energy expenditure. Sixty adults males were recruited from the public health center. They were divided into four groups. C: control group (n=20), EY: elderly Y group (n=20), and EO: elderly O group (n=20). The results of this study were as follows: percent body fat was decreased following each exercise period, however, not all the groups showed a significant difference. The change of resting metabolic rate was significantly increased in HI (high intensity) and LI (low intensity) periods in the C and EY groups. However, there was no significant difference in the EO group. The mean energy expenditure during and after exercise were significantly lowered in all periods compared to the control group.

Thermodynamic Modelling of Blast Furnace Slag Blended Cement Composites (고로슬래그가 치환된 시멘트복합체의 열역학적 모델링)

  • Yang, Young-Tak;Cha, Soo-Won
    • Journal of the Korean Recycled Construction Resources Institute
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    • v.5 no.4
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    • pp.488-495
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    • 2017
  • In this study, we conducted the kinetic hydration modeling of OPC and the final product according to the substitution ratio of GGBS by using the geochemical code, GEMS, in order to calculate the thermodynamic equilibrium. The thermodynamic data was used by GEMS's 3rd party database, Cemdata18, and the cement hydration model, the Parrot & Killoh model was applied to simulate the hydration process. In OPC modeling, ion concentration of pore solution and hydration products by mass and volume were observed according to time. In the GGBS modeling, as the substitution rate increases, the amount of C-S-H, which contributes the long-term strength, increases, but the amount of Portlandite decreases, which leads to carbonation and steel corrosion. Therefore, it is necessary to establish prevention of some deterioration.

Gait Type Classification Based on Kinematic Factors of Gait for Exoskeleton Robot Recognition (외골격 로봇의 동작인식을 위한 보행의 운동학적 요인을 이용한 보행유형 분류)

  • Cho, Jaehoon;Bong, wonwoo;Kim, donghun;Choi, Hyeonki
    • Journal of Biomedical Engineering Research
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    • v.38 no.3
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    • pp.129-136
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    • 2017
  • The exoskeleton robot is a technology developed to be used in various fields such as military, industry and medical treatment. The exoskeleton robot works by sensing the movement of the wearer. By recognizing the wearer's daily activities, the exoskeleton robot can assist the wearer quickly and efficiently utilize the system. In this study, LDA, QDA, and kNN are used to classify gait types through kinetic data obtained from subjects. Walking was selected from general walking and stair walking which are mainly performed in daily life. Seven IMUs sensors were attached to the subject at the predetermined positions to measure kinematic factors. As a result, LDA was classified as 78.42%, QDA as 86.16%, and kNN as 87.10% ~ 94.49% according to the value of k.