• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.64.2-64
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• 2001

In this paper, fabricated is a motion capture and attitude detection system for Head Mounted Display HMD composed of three low-price and low-grade micro gyroscopes and a micro-controller, To calculate attitude of a body, modified INS algorithm is used. Because the micro gyroscope has much bias drift error, scale factor error, and run-to-run bias error, the motion of a body can not be measured exactly if the general INS algorithm and micro gyroscopes are used. To reduce the errors, three accelerometers can be used. In this case, however, the size and power consumption become too large to use in HMD system. The modified INS algorithm use the grid map and the characteristics of the human motions.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제12권2호
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• pp.121-130
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• 2012

This paper proposes an intuitive real-time robot control system using human body movement. Recently, it has been developed that motion generation for humanoid robots with reflecting human body movement, which is measured by a motion capture. However, in the existing studies about robot control system by human body movement, the detailed structure information of a robot, for example, degrees of freedom, the range of motion and forms, must be examined in order to calculate inverse kinematics. In this study, we have proposed Associative Motion Generation as humanoid robot motion generation method which does not need the detailed structure information. The associative motion generation system is composed of two neural networks: nonlinear principal component analysis and Jordan recurrent neural network, and the associative motion is generated with the following three steps. First, the system learns the correspondence relationship between an indication and a motion using training data. Second, associative values are extracted for associating a new motion from an unfamiliar indication using nonlinear principal component analysis. Last, the robot generates a new motion through calculation by Jordan recurrent neural network using the associative values. In this paper, we propose a real-time humanoid robot control system based on Associative Motion Generation, that enables user to control motion intuitively by human body movement. Through the task processing and subjective evaluation experiments, we confirmed the effective usability and affective evaluations of the proposed system.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 1996년도 Proceedings International Workshop on New Video Media Technology
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• pp.45-49
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• 1996

This paper describes algorithms for the method to generate motions automatically. There are many efforts to generate motions with assistance from computers. But almost of these are methods for generating motions from scratch using computers - generally called "Computer Generated Animation". We propose a method called "Computer Aided Animation" which is a tool to help in animator generating motions. Many motions in cartoonized animation are included with impossible motions for human. Animation makes these motions based on knowledge of experimental techniques. The method in this paper works like a filter in the field of image processing. We call this method "Motion Filter". Motion Filter accepts captured motions from motion capture system and translate these motions to emphasized-cartoonized-motions.

• 한국CDE학회논문집
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• 제17권1호
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• pp.62-70
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• 2012

This paper proposes a novel discomfort assessment method for truck ingress and egress motions based on the maximum-voluntary-contraction (MVC) ratios of muscles obtained by biomechanical analysis of human musculoskeletal models. In this study, a human motion to enter and exit a truck cabin with different types and heights of footsteps is first measured using an optical motion capture system and load sensors. Next, in a biomechanical analysis system, a human musculoskeletal model with contacting conditions on footsteps and handles is modeled, and then joint torques and muscles forces are calculated by inverse dynamics of the musculoskeletal model with the motion data. Finally, the MVC ratios for the muscles are calculated and their statistical values are used as the measure of discomfort. To ensure the feasibility of our method, subjective discomfort levels have been investigated through the participants' experiments and questionnaires and compared to the results of our method. Comparing to the existing methods based on joint angles or torques, our approach provide a more essential criterion for discomfort because it is based on the muscle contraction by which an active human motion is basically generated.

• 대한산업공학회지
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• 제38권2호
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• pp.133-143
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• 2012

The study on social robots has been actively conducted in the robot research community. In the area of robot design, however, there are few studies regarding robot motions that are one of the methods for interaction between humans and robots. This is a preliminary study to find preferred human motions that can be applied to social robots. We conducted a two-phased empirical study about preferred human motions. In the first phase, four representative human motions, such as 'greeting', 'I don't know', 'positive answer', and 'giving', were captured through 28 body makers and video recording. 10 young and 6 elderly Singaporeans participated in the motion capture process. In the second phase, the communication efficiency, emotion, and satisfaction of the human motions recorded in the first phase were measured by a questionnaire and 31 young Koreans, 35 young Singaporeans participated to investigate cultural differences. We drew the conclusion that motions used in the same culture are efficient in communication and also give friendliness and satisfaction. In addition, regardless of user's culture, young people's motions and female motions were preferred in terms of communication efficiency, emotional aspect, satisfaction.

• 한국멀티미디어학회논문지
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• 제11권11호
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• pp.1575-1591
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• 2008

본 논문에서는 스테레오 카메라로부터 신체 중 발의 3차원 가상 모델을 실시간으로 합성할 수 있도록 동작을 검출하는 새로운 방법을 제안한다. 발에 가상 모델을 같은 위치에 합성하려면 관절의 움직임을 일정하게 추적하는 움직임 검출 과정이 필수적이다. 복잡한 움직임 속에서의 정확한 정합 이 기술이 해결해야 할 가장 중요한 문제이다. 본 논문에서는 두 가지 형태의 마커 그룹을 사용한 동적 정합을 제안한다. 바닥의 평면 정보는 발과 3차원 가상 발 모델의 관계를 조정하고 발의 자세와 위치를 측정한다. 발의 회전은 발등의 중심 골격에 따라 부착한 두 개의 마커(Marker) 그룹을 사용하여 추정했다. 이 논문에서는 제안한 시스템을 직접 구현하고, 다양한 실험을 통해 시스템에 적용된 각 알고리즘의 정확도를 측정했다.

• 대한기계학회논문집A
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• 제36권9호
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• pp.1017-1026
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• 2012

본 논문에서는 오십견의 재활을 보다 체계적이고 효율적으로 보조할 수 있는 로봇의 개발을 소개하고자 한다. 개발된 로봇의 가장 큰 특징은 크게 두 가지로 나뉜다. 첫째, 구조적 특징으로써 로봇은 환자의 양쪽 어깨를 재활 치료할 수 있도록 설계되었고 롤, 피치, 요 축이 한 점에서 교차하도록 하여 사람과 같은 볼 조인트 움직임을 기구적으로 나타낼 수 있도록 하였다. 둘째, 기능적 특징으로써, 로봇은 두 가지 운동 모드를 가지고 있다. 첫 번째 모드는 관절재활모드로써 모션 캡처로부터 미리 얻어진 패턴대로 환자의 어깨를 운동시켜주어 어깨 관절의 운동 범위를 되찾을 수 있도록 한다. 두 번째 모드는 근육재활모드로써 환자의 움직임에 따라 로봇이 적절히 저항을 하여 근육을 강화시킨다. 이 두 가지 모드를 통하여 환자의 상태에 맞추어서 오십견 재활 보조를 체계적으로 수행할 수 있으며, 자세한 로봇개발 과정에 대한 내용을 본 논문에 서술하였다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2002년도 ICCAS
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• pp.51.1-51
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• 2002

$\textbullet$ Introduction $\textbullet$ Vision-Based Motion Capture $\textbullet$ Extracting 2D features $\textbullet$ 3D Reconstruction $\textbullet$ UI for VR $\textbullet$ Conclusion

• 한국컴퓨터정보학회논문지
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• 제24권4호
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• pp.45-50
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• 2019

Recently, character motion have been used extensively in the entertainment business, and researchers have investigated algorithms of reproducing, editing, and simulating mimic human movements. Also, many recent researches have suggested how a character interacts with its surrounding environment in terms of motion. Specially, spatial relationships of the environment have been introduced for adapting and preserving character motion. In this paper, we propose a motion adaptation technique preserving a spatial property between a virtual character and the configuration of its surrounding space. Additionally, we report on experimental results of smoothly adapted motions in various environmental structures with original motions such as walk, jump, and tumbling.

• 정보처리학회논문지B
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• 제13B권2호
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• pp.187-196
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• 2006

대부분의 3차원 캐릭터 애니메이션에서는 모션 캡쳐 장비를 통해서 포착된 동작 데이터를 이용하여 다양한 지형상에서 캐릭터의 이동 동작을 표현한다. 이러한 동작 포착 데이터는 실제 사람과 같이 움직이는 동작들을 자연스럽게 표현할 수 있으나, 만약 다양한 지형에 대해 움직이는 동작을 표현할 경우, 지형의 유형에 따라 모든 동작을 캡쳐하여야 하고, 얻어진 동작 데이터를 다른 유형의 캐릭터에 적용할 경우 동작 데이터를 다시 얻거나 기존 동작 데이터를 재편집해야 하는 어려움이 있다. 따라서 본 연구에서는 평지면, 경사면, 계단면 그리고 굴곡면 등 다양한 지형에서의 적응적인 걷기, 달리기의 이동 동작을 생성하기 위한 통합적 생성 방법을 제안한다. 이 방법에서는 캐릭터의 신장이나 걷는 속도 걸음폭 등의 적은 매개변수들을 사용하여 이동 동작을 생성할 수 있다. 관절들의 위치나 각도는 역운동학(Inverse Kinematics)방법으로 계산하고, 골반과 이동하는 다리의 움직임 궤적 산출은 큐빅 스플라인 곡선을 활용한다. 또한 제안된 방법을 통해서 다양한 실제 캐릭터에 적용하여 이동 동작을 확인한다.