• 한국지형공간정보학회:학술대회논문집
• /
• 2002.03a
• /
• pp.99-105
• /
• 2002

컴퓨터의 성능향상으로 인하여 가상현실 및 시뮬레이션에 대한 관심이 급증하고 있다. 본 연구는 차량의 실시간 운전시뮬레이터 개발을 위한 인공위성영상의 적용에 관한 연구이다. 차량의 효율적인 성능테스트나 주행테스트를 위해서는 자동차공학과 토목공학의 접목이 필요하며, 그래픽 처리 분야에서는 가상 그래픽 주행 시뮬레이터 프로그램(Virtual Driving Simulator ; VDS) 개발, 실시간 그래픽 처리를 위한 알고리즘 개발, 효율적인 환경 및 차량 모델링 생성 및 관리 방법 개발, 인체 모델 시뮬레이션 및 설계 검증 기능부여, 가상현실 기법을 도입한 인간-컴퓨터 인터페이스를 구성 및 평가 등을 실시해야한다. 차량의 주행감각 등 가상 실험을 수행할 수 있는 독자적인 차량의 실시간 주행 시뮬레이터개발과 현실감을 부여할 수 있는 제어 알고리즘 개발, 주행 시뮬레이터의 개발을 위한 각종 인터페이스 구축에 이용되는 위성영상의 활용방안과 효용성에 관한 연구와 워크스테이션과 개인용PC에서의 실시간 시뮬레이션 구축에서의 렌더링의 상관관계 등을 분석하였다.

• Proceedings of the KOSOMBE Conference
• /
• v.1995 no.05
• /
• pp.117-119
• /
• 1995

서울대학교 의공학과에서는 부분적인 심부전 판자의 보조 및 치료장비로 전기유압식 좌심실 보조 장치를 개발하고 있다. 이 장비의 경우 인체의 좌심방 및 대동맥에 직접 연결되므로 실제적으로 좌심실 보조 장치의 박출량을 센서를 통하여 알아내는 데에는 여러가지 어려움이 따른다. 이러한 필요성에 비추어 전기유압식 좌심실 보조 장치의 박출량을 시스템을 ARX모델로 모델링하여 RLS(Recursive Least Square) 알고리듬을 이용하여 추정하였다. 그 결과 비교적 높은 정착도로 박출량이 추정됨을 볼 수 있었다. 하지만, ARX모델의 특성상 원래 본 연구의 시작과정에서 분석한 시스템의 동적 특성을 완전하게 반영할 수 없었다. 앞으로 시스템의 파라미터 추정 과정에서 이미 주어진 동적 특성은 고정시키고 나머지 파라미터들만을 추정하는 알고리듬을 개발하는 것도 흥미로운 과제라 할 수 있다.

• Journal of Biomedical Engineering Research
• /
• v.24 no.6 s.81
• /
• pp.509-514
• /
• 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.

• Journal of the Korea Convergence Society
• /
• v.8 no.11
• /
• pp.115-121
• /
• 2017

The present study aimed to obtain basic knowledge of a customized artificial joint based on the convergence research of Digital Imaging and Communications in Medicine(DICOM) and 5-axis machining technology. In the case of the research method, three-dimensional modeling was generated based on the medical image of the humerus bone, and the shape was machined using a chemical wood material. Then, the anatomical characteristics and the modeling machining computation times were compared. The results showed that the Stereolithography (STL) modeling required twice more time for semi-finishing and 10 times more time for finishing compared to the Initial Graphics Exchange Specification(IGES) modeling. For the 5-axis machining humerus bone, the anatomical structures of the anatomic neck, greater tubercle, lesser tubercle, and intertubercular groove were similar to those in the three-dimensional medical image. In the future, the convergence machining technology, where 5-axis machining of various structures(e.g., the surgical neck undercut of the humerus bone) is performed as described above, can be efficiently applied to the manufacture of a customized joint that pursues the precise model of a human body.

• Transactions of the Korean Society of Mechanical Engineers A
• /
• v.34 no.4
• /
• pp.431-437
• /
• 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.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.16 no.9
• /
• pp.6019-6026
• /
• 2015

In this study, we have tried to use 3D-printing technology, which is very useful for small amount production and individual personalization manufacturing to produce a cast customized by individual. To do this, we have made casts by the 3D printer in the method of fused deposition modeling technique using ABS(acrylonitrile butadiene styrene) resin which is thermoplastic plastics. The computed tomography of human hand part was used as the modeling of the cast and it was designed to circulate air well. As a result, an individual personalized cast that fitted well with the model part was produced. In addition, we could get more excellent radiography from the cast than the existing cast. In conclusion, this study of 3D-printing could be used as basic data when a similar designed structure in fused deposition modeling technique by ABS resin is printed out.

• Journal of the Korea Society of Computer and Information
• /
• v.24 no.10
• /
• pp.33-39
• /
• 2019

In this paper, we propose a parametric model for analyzing the motion information obtained from the acceleration sensors to measure the activity of the human body. The motion of the upper body and the lower body does not occur at the same time, and the motion analysis method using a single motion sensor involves a lot of errors. In this study, the 3-axis accelerometer is attached to the arms and legs, the body's activity data are measured, the momentum of the arms and legs are calculated for each channel, and the linear predictive coefficient is obtained for each channel. The periodicity of the upper body and the lower body is determined by analyzing the correlation between the channels. The linear predictive coefficient and the periodic value are used as data to measure the type of exercise and the amount of exercise. In the proposed method, we measured four types of movements such as walking, stair climbing, slow hill climbing, and fast hill descending. In order to verify the usefulness of the parameters, the recognition results are presented using the linear predictive coefficient and the periodic value for each motion as the neural network input.

• Journal of radiological science and technology
• /
• v.38 no.4
• /
• pp.389-394
• /
• 2015

There is a progressive development in the medical imaging technology, especially of descriptive capability for anatomical structure of human body thanks to advancement of information technology and medical devices. But however maintenance of correct posture is essential for the medical imaging checkup on the shoulder joint requiring rotation of the upper limb due to the complexity of human body. In the cases of MRI examination, long duration and fixed posture are critical, as failure to comply with them leads to minimal possibility of reproducibility only with the efforts of the examiner and will of the patient. Thus, this study aimed to develop an auxiliary device that enables rotation of the upper limb as well as fixing it at quantitative angles for medical imaging examination capable of providing diagnostic values. An auxiliary device has been developed based on the results of precedent studies, by designing a 3D model with the CATIA software, an engineering application, and producing it with the 3D printer. The printer is Objet350 Connex from Stratasys, and acrylonitrile- butadiene-styrene(ABS) is used as the material of the device. Dimensions are $120{\times}150{\times}190mm$, with the inner diameter of the handle being 125.9 mm. The auxiliary device has 4 components including the body (outside), handle (inside), fixture terminal and the connection part. The body and handle have the gap of 2.1 mm for smooth rotation, while the 360 degree of scales have been etched on the handle so that the angle required for observation may be recorded per patient for traceability and dual examination.

• Journal of the Korean Society of Radiology
• /
• v.13 no.3
• /
• pp.453-458
• /
• 2019

In this study we analyzed the tendency of the image characteristic by changing filtering factor for the proposed fast non local means (FNLM) noise reduction algorithm with designed Male Adult mesh (MASH) phantom through Geant4 application for tomographic emission (GATE) simulation program. To accomplish this purpose, MASH phantom for human copy was designed through the GATE simulation program. In addition, we acquired degraded image by adding Gaussian noise with a value of 0.005 using the MATALB program in MASH phantom. Moreover, in degraded image, the FNLM noise reduction algorithm was applied by changing the filtering factors, which set to 0.005, 0.01, 0.05, 0.1, 0.5, and 1.0 value, respectively. To quantitatively evaluate, the coefficient of variation (COV), signal to noise ratio (SNR), and contrast to noise ratio (CNR) were calculated in reconstructed images. Results of the COV, SNR and CNR were most improved in image with a filtering factor of 0.05 value. Especially, the COV was decreased with increasing filtering factor, and showed nearly constant values after 0.05 value of the filtering factor. In addition, SNR and CNR were showed that improvement with increasing filtering factor, and deterioration after 0.05 value of the filtering factor. In conclusion, we demonstrated the significance of setting the filtering factor when applying the FNLM noise reduction algorithm in degraded image.

• Transactions of the Korean Society of Mechanical Engineers B
• /
• v.38 no.1
• /
• pp.57-62
• /
• 2014

Most analytical models of the human body have focused on conscious responses. A patellar tendon reflex, a representative example of spinal reflexes, occurs without a neural command. Muscle forces and activation of the quadriceps femoris muscles in healthy adults during patellar tendon reflex are identified in this study. The model is assumed to move in the sagittal plane, and the thigh and the trunk are assumed to be fixed in a sitting position so that the shank can move similar to a pendulum. The knee joint is modeled as a revolute joint, and the ankle joint is modeled as a fixed joint so that the shank and the foot can be regarded as one rigid body. Muscle forces are calculated following the inverse dynamic approach. Kinematic data obtained from an experiment (Mamizuka, 2007) are used as input data. Muscle activations are identified using a Hill-type muscle model. The obtained simulation results are compared with experimental results for validating the model and the underlying assumptions.