• Title/Summary/Keyword: virtual training system

검색결과 331건 처리시간 0.025초

가상현실훈련과 로봇보행훈련이 만성 뇌졸중 환자의 균형과 보행능력에 미치는 영향 (Effects of Robot-Assisted, Gait-Training-Combined Virtual Reality Training on the Balance and Gait Ability of Chronic Stroke Patients)

  • 김동훈;김경훈
    • 대한물리의학회지
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    • 제19권2호
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    • pp.55-64
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    • 2024
  • PURPOSE: This study evaluated the effects of robot-assisted gait training combined with virtual reality training on balance and gait ability in stroke patients. METHODS: Thirty-one stroke patients were allocated randomly into one of two groups: robot-assisted gait training combined virtual reality training group (RGVR group; n = 16) and control group (n = 15). The RGVR group received 30 minutes of robot-assisted gait training combined with virtual reality training. Robot-assisted gait training was conducted in parallel using a virtual reality device. In the Control group, neurodevelopmental therapy was performed according to the function of chronic stroke patients. Both groups underwent training for 30 minutes, three times per week for eight weeks. The balance assessment system (BioRescue, Marseille, France), BBS, and TUG were used to evaluate the balance ability. The OptoGait (Microgate Srl, Bolzano, Italy) and 10 mWT were measured to evaluate the gait ability. The measurements were performed before and after the eight-week intervention period. RESULTS: Both groups showed significant improvement in their balance and gait ability during the intervention. RGVR showed significant differences in balance and gait ability compared to the control group groups (p < .05). These results showed that RGVR was more effective on balance and gait ability in patients with chronic stroke. CONCLUSION: RGVR can improve balance and gait ability, highlighting the benefits of RGVR. This study provides intervention data for recovering the balance and gait ability of chronic stroke patients.

자전거 시뮬레이터를 이용한 평형감각 증진의 정량적 분석 (Quantitative Analysis on the Improvement of Equilibrium Sensory Using Bicycle Simulator)

  • 정성환;정우석;김경석;권대규;홍철운;김남균
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2004년도 추계학술대회 논문집
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    • pp.935-938
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    • 2004
  • This paper describes the quantitative analysis on the improvement of equilibrium sensory using virtual bicycle system. We have used a virtual bicycle system that combines virtual reality technology with a bicycle. In this experiment, 10 subjects were tested to investigate the influencing factors on equilibrium sensory. Straight road and curved road driving at several factors including cycling time, number of times of path deviation, and center of pressure(COP) were extracted and evaluated to quantify the extent of control. Also, To improve the effect of balance training, we investigated the usefulness of virtual feedback information by weight shift. The result showed that the system could be effective for equilibrium sensory rehabilitation training device. The analysis method might also have wider applicability to the rehabilitation field.

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공군 전투기 시뮬레이터와 워게임 모델의 V-C 연동에 대한 연구 (A Study on the Interoperability of ROK Air Force Virtual and Constructive Simulation)

  • 김용환;송용승;김창욱
    • 한국시뮬레이션학회논문지
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    • 제28권2호
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    • pp.169-177
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    • 2019
  • 전장상황의 변화와 첨단정보통신기술의 발전에 따라 과학화된 훈련체계인 LVC 훈련체계가 주목을 받고 있다. 대한민국 공군은 전투기 시뮬레이터를 중심으로 공중전투기동장비(ACMI), 워게임모델을 가상의 합성전장환경에 구현하여 실전적이고 과학적인 훈련이 가능한 LVC 훈련체계를 구축하고자 한다. 본 논문에서는 공군의 Virtual 체계인 전투기 시뮬레이터와 Constructive 체계인 전구급 연습용 모델의 V-C 연동시험 수행결과에 대해 다루고자 한다. 기종별로 각각 상이한 연동방식을 갖춘 F-15K, KF-16, FA-50 전투기 시뮬레이터를 표준 연동방식으로 변환하였으며, 합성 전장환경 모의 도구를 활용하여 3개 기종의 전투기 시뮬레이터가 상호 연동이 가능한 환경을 구축하였다. 그리고 공군의 연습용 모델인 창공모델도 표준 연동방식으로 변환하였으며, 연동 최적화를 위해 SW 일부를 수정하였다. 이를 통해 공군의 전투기 시뮬레이터와 워게임 모델이 연동이 가능함을 확인할 수 있었다. 본 연구결과는 향후 공군 LVC 훈련체계 개념연구 및 체계개발 간에 유의미하게 참조할 만한 근거가 될 것임을 기대한다.

A VR Bike Simulator for Balance Rehabilitation Training

  • Kim, Jong-Yun;Song, Chul-Gue;Kim, Nam-Gyun
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2001년도 ICCAS
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    • pp.181.6-181
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    • 2001
  • This paper describes a development of rehabilitation training system for the postural balance control. A new rehabilitation training system, designated as a virtual cycling system, was developed to improve postural balance control by combining virtual reality technology with an unfixed bicycle. In this experiment, 20 normal adults were tested to investigate the influencing parameters of postural balance control. In order to evaluate the usefulness and the training effects of the system, several parameters including path deviation, cycling velocity, cycling time, center of pressure, and head movement were evaluated and analyzed quantitatively. Also, to improve the effect of balance training, the visual feedback information related to the subject's weight shift was assessed to identify whether it was useful. It could be also known ...

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유니티 실시간 엔진과 End-to-End CNN 접근법을 이용한 자율주행차 학습환경 (Autonomous-Driving Vehicle Learning Environments using Unity Real-time Engine and End-to-End CNN Approach)

  • 사비르 호사인;이덕진
    • 로봇학회논문지
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    • 제14권2호
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    • pp.122-130
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    • 2019
  • Collecting a rich but meaningful training data plays a key role in machine learning and deep learning researches for a self-driving vehicle. This paper introduces a detailed overview of existing open-source simulators which could be used for training self-driving vehicles. After reviewing the simulators, we propose a new effective approach to make a synthetic autonomous vehicle simulation platform suitable for learning and training artificial intelligence algorithms. Specially, we develop a synthetic simulator with various realistic situations and weather conditions which make the autonomous shuttle to learn more realistic situations and handle some unexpected events. The virtual environment is the mimics of the activity of a genuine shuttle vehicle on a physical world. Instead of doing the whole experiment of training in the real physical world, scenarios in 3D virtual worlds are made to calculate the parameters and training the model. From the simulator, the user can obtain data for the various situation and utilize it for the training purpose. Flexible options are available to choose sensors, monitor the output and implement any autonomous driving algorithm. Finally, we verify the effectiveness of the developed simulator by implementing an end-to-end CNN algorithm for training a self-driving shuttle.

실감형 가상현실 실전훈련 콘텐츠를 위한 관리 평가 시스템 개발 사례연구 (Development of Management and Evaluation System for Realistic Virtual Reality Field Training Exercise Contents : A Case Study)

  • 김종용;박동근;이필연;조준영;윤승현;박상훈
    • 한국컴퓨터그래픽스학회논문지
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    • 제26권3호
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    • pp.111-121
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    • 2020
  • 가상현실의 높은 몰입감을 활용한 실감형 훈련 콘텐츠가 산업, 교육, 의료 등 다양한 분야에서 활용되고 있다. 특히 현실에서 실시하기 힘든 고위험, 고비용이 발생하는 교육훈련을 최신 가상현실 기술을 적용하여 현실과 비슷한 환경에서 효율적이고 안전하게 체험하여 교육효과를 높일 수 있다. 본 논문은 실감형 가상훈련 콘텐츠를 체계적으로 관리하고 정의된 평가요소를 기반으로 훈련 결과를 도식화된 그림으로 가시화하는 관리 시스템을 소개한다. 관리 시스템은 콘텐츠에서 생성되는 정보를 데이터베이스에 저장하여 각 훈련생의 훈련 기록을 실용적으로 관리할 수 있다. 또한 콘텐츠 기반 시나리오 생성 방법으로 훈련 목표, 참여인원, 평가요소 등을 설정하여 하나의 콘텐츠를 여러 시나리오로 생성할 수 있다. 본 논문은 관리 시스템의 제작 방법과 그 결과를 적용 사례인 가상현실 훈련 콘텐츠 기반으로 설명한다.

Personal Computer Based Aids to Navigation Training Simulator Using Virtual Reality Modeling Language

  • Yim, Jeong-Bin;Park, Sung-Hyeon;Jeong, Jung-Sik
    • 해양환경안전학회:학술대회논문집
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    • 해양환경안전학회 2003년도 춘계학술발표회
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    • pp.77-87
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    • 2003
  • This paper describes recently developed PC based Aids to Navigation Training Simulator (AtoN-TS) using Virtual Reality Modeling language (VRML). The purpose of AtoN-TS is to train entry-level cadets to reduce the amount of sea-time training. The practical application procedure of VR technology to implement AtoN-TS is represented. The construction method of virtual waterway world, according to the guidelines of International Association of Lighthouse Authorities (IALA) is proposed. Design concepts and simulation experiments are also discussed. Results from trial tests and evaluations by subject assessment, provide practical insight on the importance of AtoN-TS.

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산업안전 교육시스템에서의 가상현실의 효과적 활용 방안에 관한 연구 (A Study on the Effective Use of Virtual Reality for Improving Safety Training Systems)

  • 백지민;함동한;이양지
    • 대한안전경영과학회지
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    • 제18권4호
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    • pp.19-30
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    • 2016
  • This paper addresses the problem of how to effectively use virtual reality(VR) for improving the quality of safety training systems. As the working environment and the working system in the industry are more and more complex and large-scaled, the concern with system safety is accordingly growing. Safety training systems are regarded as an effective way for increasing workers' interest in system safety and enhancing their ability of preventing and handling accidents/incidents. Recently, it has been reported that VR would be effectively used for improving the quality of safety training systems, with its technically specialized features. However, little attention has been given to the problem of how to effectively use VR for safety training systems. In order to make the best use of new technology such as VR, it is important to examine its advantages and disadvantages and the contexts to which its use can be beneficial. This paper firstly reviews the current status of safety training systems and the use of VR for safety training systems in the inside and outside of the country. Next, we summarize the interview with safety managers in four manufacturing companies, which was conducted to understand the requirements of stake-holders of the issue. Based on the review and the interview, we suggested the ways of using VR in safety training systems in an effective manner. They are described from the four perspectives: development and maintenance cost, lack of specialized workers, design of accident scenarios used with VR, and empirical demonstration of the effectiveness of VR in safety training.

뉴럴 네트워크 알고리즘을 이용한 비드 가시화 (Using Neural Network Algorithm for Bead Visualization)

  • 구창대;양형석;김중영;신상호
    • Journal of Welding and Joining
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    • 제31권5호
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    • pp.35-40
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    • 2013
  • In this paper, we propose the Tangible Virtual Reality Representation Method to using haptic device and feature to morphology of created bead from Flux Cored Arc Welding. The virtual reality was started to rising for reduce to consumable materials and welding training risk. And, we will expected maximize virtual reality from virtual welding training. In this paper proposed method is get the database to changing the input factor such as work angle, travelling angle, speed, CTWD. And, it is visualization to bead from extract to optimal morphological feature information to using the Neural Network algorithm. The database was building without error to extract data from automatic robot welder. Also, the Neural Network algorithm was set a dataset of the highest accuracy from verification process in many times. The bead was created in virtual reality from extract to morphological feature information. We were implementation to final shape of bead and overlapped in process by time to using bead generation algorithm and calibration algorithm for generate to same bead shape to real database in process of generating bead. The best advantage of virtual welding training, it can be get the many data to training evaluation. In this paper, we were representation bead to similar shape from generated bead to Flux Cored Arc Welding. Therefore, we were reduce the gap to virtual welding training and real welding training. In addition, we were confirmed be able to maximize the performance of education from more effective evaluation system.

가상현실기술을 이용한 경사침대에서의 자세제어훈련에 관한 연구 (Postural Balance Rehabilitation using Virtual Reality Technology)

  • 이정수;김현석;정경호;정진석;김동욱;김남균
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1996년도 추계학술대회
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    • pp.107-110
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    • 1996
  • We proposed a new system for the postural balance rehabilitation training. For the purpose, we used the virtual hiking system using virtual reality technology. We evaluated the system by measuring the parameters such as path deviation, path deviation velocity, cycling time, and head movement. From our results, we verified the usefulness of virtual reality technology in rehabilitation. Our results showed that this system was effective postural balance rehabilitation training device and might be useful as the clinical equipment.

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