• Journal of Institute of Control, Robotics and Systems
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• v.5 no.8
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• pp.961-968
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• 1999

In this paper we handle a system that transform sensor data to sensor information. Sensor informations from redundant accelerometers are manipulated to represent the configuration of objects carrying sensors. Basic sensor unit of the proposed systme is composed of 3 accelerometers that are aligned along x-y-z coordination axes of motion. To refine the sensor information, at first the sensor data are fused by geometrical optimization to reduce the variance of sensor information. To overcome the error caused from inexact alignment of each sensor to the coordination system, we propose a calibration technique that identifies the transformation between the coordinate axes and real sensor axes. The calibration technique make the sensor information approach real value. Also, we propose a technique that decomposes the accelerometer data into motion acceleration component and gravity acceleration component so that we can get more exact configuration of objects than in the case of raw sensor data. A set of experimental results are given to show the usefulness of the proposed method as well as the experiments in which the proposed techniques are applied to human body motion capture.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2001.04a
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• pp.296-299
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• 2001

We developed a motion capture system to get angle data of human joints in the walking mode. The motion capture system is a pair of leg-shape device, which is composed of three links with ankle, knee and pelvis joints. The sensors for measurement of the joint angle are potentiometers. We used an A/D converter to get digital data from joint angles, and which are used to simulate and coordinate the biped-walking robot developed in our laboratory. To simulate and analyze walking motion, animation based on three-dimension motion is performed using the open inventor software.

• Proceedings of the Korea Multimedia Society Conference
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• 2002.05d
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• pp.1093-1098
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• 2002

본 연구실에서 개발한 MIMIC(Motion Interface & Motion Information Capture system)은 동작자의 동작을 획득하고, 동작의 의미를 이해할 수 있도록 설계된 시스템이다. 비전 센서로부터 입력된 영상을 분석하여 동작자의 머리와 두 손, 두 발의 정보를 찾는다. 그리고, 이 정보를 기반으로 팔꿈치나 무릎 등의 중간 관절을 추정한 후 20개의 관절을 가지는 3차원 인체 모델을 구성한다. 이 인체 모델은 동작자의 동작을 실시간으로 흉내낸다. 그러므로, 기존의 마커프리 모션캡쳐 시스템과 달리 완벽한 인체를 구성하기 위한 중간 관절까지 생성함으로써 동작자의 동작을 더욱 자연스럽게 구현할 수 있다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.10
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• pp.1398-1401
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• 2020

We present the concept of a Medical Digital Twin (MDT) that can predict and analyze medical diseases using computer simulations and introduce a dynamic virtual body capture system to create it. The MDT is a technology that creates a 3D digital virtual human body by reflecting individual medical and biometric information. The virtual human body is composed of a static virtual human body that reflects an individual's internal and external information and a dynamic virtual human body that reflects his motion. Especially we describe an early version of the dynamic virtual body capture system that enables continuous simulation of musculoskeletal diseases.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.2481-2485
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• 2003

In this paper novel concept of real reality robot game controlled by a mobile server robot is proposed. Real reality robot game means that two real robots controlled by two human operator through the internet are playing a boxing game. The mobile server robot captures playing images of the boxing game and send them to GUI on the screen of human operators’ PC. The human operator can login to boxing game from any computer in any place if he/she is permitted. Remote control of boxing robot by a motion capture system through network is implemented. Successful motion control of a boxing robot remotely controlled by a motion capture system through network can be achieved.

• Journal of Institute of Control, Robotics and Systems
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• v.11 no.12
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• pp.977-983
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• 2005

In this paper, novel ubiquitous concept of real reality robot game controlled by a mobile server robot is proposed. Real reality robot game means that two real robots controlled by humans/computers through the internet are playing a boxing game. The mobile server robot captures playing images of the boxing game and sends them to GUI on the screen of human operators' PC. The human operator can login to the boxing game from any computer in any place if he/she is permitted. Remote control of a boxing robot by a motion capture system through network is implemented. Successful motion control of a boxing robot remotely controlled by a motion capture system through network can be achieved. In addition, real boxing games between a human and a computer are demonstrated.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.2
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• pp.1019-1031
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• 2017

In this study, we propose a new method for simulating water responding to human motion. Motion data obtained from motion-capture devices are represented as a jointed skeleton, which interacts with the velocity field in the water simulation. To integrate the motion data into the water simulation space, it is necessary to establish a mapping relationship between two fields with different properties. However, there can be severe numerical instability if the mapping breaks down, with the realism of the human-water interaction being adversely affected. To address this problem, our method extends the joint velocity mapped to each grid point to neighboring nodes. We refine these extended velocities to enable increased robustness in the water solver. Our experimental results demonstrate that water animation can be made to respond to human motions such as walking and jumping.

• Journal of Broadcast Engineering
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• v.25 no.3
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• pp.405-417
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• 2020

Due to the popularization of the Extended Reality, research is actively underway to implement human motion in real-time 3D animation. In particular, Microsoft developed Kinect cameras for 3D motion information can be obtained without the burden of facilities and with simple operation, real-time animation can be generated by combining with 3D formats such as FBX. Compared to the marker-based motion capture system, however, Kinect has low accuracy due to its lack of estimated performance of joint information. In this paper, two algorithms are proposed to correct joint estimation errors in order to realize natural human motion in motion capture animation system in Kinect camera-based FBX format. First, obtain the position information of a person with a Kinect and create a depth map to correct the wrong joint position value using the human body segment length constraint information, and estimate the new rotation value. Second, the pre-set joint motion range constraint is applied to the existing and estimated rotation value and implemented in FBX to eliminate abnormal behavior. From the experiment, we found improvements in human behavior and compared errors between algorithms to demonstrate the superiority of the system.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.106-123
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• 2024

This article takes the talk show "Beast Town" as an example to introduce the overall technical solution, technical difficulties and countermeasures for the combination of cartoon virtual characters and virtual studio technology, providing reference and experience for the multi-scenario application of digital humans. Compared with the live broadcast that combines reality and reality, we have further upgraded our virtual production technology and digital human-driven technology, adopted industry-leading real-time virtual production technology and monocular camera driving technology, and launched a virtual cartoon character talk show - "Beast Town" to achieve real Perfectly combined with virtuality, it further enhances program immersion and audio-visual experience, and expands infinite boundaries for virtual manufacturing. In the talk show, motion capture shooting technology is used for final picture synthesis. The virtual scene needs to present dynamic effects, and at the same time realize the driving of the digital human and the movement with the push, pull and pan of the overall picture. This puts forward very high requirements for multi-party data synchronization, real-time driving of digital people, and synthetic picture rendering. We focus on issues such as virtual and real data docking and monocular camera motion capture effects. We combine camera outward tracking, multi-scene picture perspective, multi-machine rendering and other solutions to effectively solve picture linkage and rendering quality problems in a deeply immersive space environment. , presenting users with visual effects of linkage between digital people and live guests.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.10
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• pp.791-795
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• 2009

There is a need for a system independent human data format that doesn't depend on a specific graphics tool or program to use interoperable human data in a network environment. To achieve this, the Web3D Consortium and ISO/IEC JTC1 WG6 developed the international draft standard ISO/IEC 19774 Humanoid Animation(H-Anim). H-Anim defines the data structure for an articulated human figure, but it does not yet define the data for human motion generation. This paper discusses a method of obtaining compatibility and independence of motion data between application programs, and describes a method of simplifying motion retargetting necessary for motion definition of H-Anim characters. In addition, it describes a method of generating H-Anim character animation using arbitrary 3D character models and arbitrary motion capture data without any inter-relations, and its implementation results.