• 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.

• 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.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.8 no.6
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• pp.111-117
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• 2008

In this paper, we describes the boxing motion recognition which is used in the part of games, animation. To recognize the boxing motion, we have used two algorithms, one is principle component analysis, the other is dynamic time warping algorithm. PCA is the simplest of the true eigenvector-based multivariate analyses and often used to reduce multidimensional data sets to lower dimensions for analysis. DTW is an algorithm for measuring similarity between two sequences which may vary in time or speed. We introduce and compare PCA and DTW algorithms respectively. We implemented the recognition of boxing motion on the motion capture system which is developed in out research, and depict the system also. The motion graph will be created by boxing motion data which is acquired from motion capture system, and will be normalized in a process. The result has implemented in the motion recognition system with five actors, and showed the performance of the recognition.

• Advances in biomechanics and applications
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• v.1 no.1
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• pp.57-66
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• 2014

The purpose of the study was to investigate the kinematics between the double collar-tie and double underhook Thai Boxing clinching positions. Ten amateur mixed martial arts athletes executed six knee strikes for both clinching positions with their dominant limb directed towards a target. A standard two-dimensional video motion analysis was conducted, and the results showed a statistical significant difference at the hip joint angle and the angular acceleration of the knee and ankle. Within both clinching positions, there was a statistically significant correlation between the hip and knee joint angles, hip and knee angular velocities, and hip angular acceleration. Between both clinching positions, there was a statistically significant correlation at the knee joint angle, knee angular velocity, and hip angular acceleration. This study demonstrates the importance of the hip and knee joint movements in both clinching positions, which implies the applications of strength training and flexibility at these joints for sports performance and injury prevention. It is suggested that future studies analyzing the non-dominant leg are warranted to fully understand the Thai Boxing clinch.

• Korean Journal of Applied Biomechanics
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• v.13 no.3
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• pp.293-309
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• 2003

The purpose of this study was to analyze the kinematic variables of the right-straight punch(RSP) in boxing with three-dimensional analysis technical methods. The subjects are boxers who have been playing in national boxing representative team and the RSP is their special favorite technique, The right-straight punches were filmed on 16mm video cameras(30frames/sec.) The kinematic variables were temporal, postural and center of gravity(COG). The mean and the standard deviation of variables have been obtained and used as basic factors for examining characteristics of the RSP by out-boxers. From the data analysis and discussion, the following conclusions have been drawn. 1) Temporal variables It is a significant characteristic that LDJ and KDM s' the amount of elapsed time(EF) needed for both an attack and a defense were similar : ET for stretch-out of attack-arm was $0.52{\pm}0.04\;sec$. and return was $0.54{\pm}0.01\;sec$. Therefore, a defense motion is as important as an attack motion. 2) Posture variables When the subjects performed a RSP, the significant characteristic of the ankle angle was that it wasn't completely returned to the original position after stretching-out. Therefore it is necessary to do supplementary exercises, such as side steps, to move the center of gravity more effectively. The hee angle was not fully stretched either. In regard to the hip angle, it should be rotated with all strength to harmonize with the direction of movement. 3) Center of Gravity(COG) variables When both LDJ and KDM performed a RSP, a significant characteristic was the transformation of sagittal view rather than transverse or frontal views.

• Journal of the Korea Computer Graphics Society
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• v.29 no.4
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• pp.7-16
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• 2023

For decades, creating a desired locomotive motion in a goal-oriented manner has been a challenge in character animation. Data-driven methods using generative models have demonstrated efficient ways of predicting long sequences of motions without the need for explicit conditioning. While these methods produce high-quality long-term motions, they can be limited when it comes to synthesizing motion for challenging novel scenarios, such as punching a random target. A state-of-the-art solution to overcome this limitation is by using a GAN Discriminator to imitate motion data clips and incorporating reinforcement learning to compose goal-oriented motions. In this paper, our research aims to create characters performing combat sports such as boxing, using a novel reward design in conjunction with existing GAN-based approaches. We experimentally demonstrate that both the Adversarial Motion Prior [3] and Adversarial Skill Embeddings [4] methods are capable of generating viable motions for a character punching a random target, even in the absence of mocap data that specifically captures the transition between punching and locomotion. Also, with a single learned policy, multiple task controllers can be constructed through the TimeChamber framework.

• Journal of Institute of Control, Robotics and Systems
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• v.10 no.5
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• pp.434-441
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• 2004

In this paper, an exoskeleton-type motion capturing system is designed and implemented. The device is designed to have 12 degree-of-freedom entirely to represent human arm motions. Forward and inverse kinematics of the device are analyzed to make sure of its singular positions. With the designed model parameters, simulation studies are conducted to verify that the designed motion capturing system is effective to represent human motions within the workspace. As a counterpart of the exoskeleton system, a mobile robot is built to follow human motion restrictively. Experimental studies of teleoperation from the exoskeleton device to control the mobile robot are carried out to show feasible application of wireless man-machine interface.

• Journal of Korea Game Society
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• v.16 no.4
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• pp.69-78
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• 2016

With the development of game technology, the realistic game graphics, interface technology, and various content services with immersion are being required in the content area. NUI has been developed through CLI and GUI. Unlike the conventional methods, it is an interface that could be the intuitive and realistic interface for human as a natural action realized. we propose a boxing simulation game using leap motion of it. Providing a realistic 3D experimental environment through VR headsets game, we also propose a method that can be calculated the scores if the user-controlled interface (fist) could be to punch the target (sandbag) of the internal in accordance with changes of the angle of target impact with the physical characteristics.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.271-272
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• 2023

본 논문에서는 게임 개발 플랫폼인 언리얼 엔진 4를 사용하여 동작 인식 기반 복싱 게임 콘텐츠를 개발하였다. Google 사의 미디어파이프(MediaPipe) 오픈소스를 통해 웹캠으로 플레이어의 동작을 인식하며, 미디어파이프의 Pose Landmarks를 기준으로 게임 내의 캐릭터와 매핑하여 캐릭터 동작을 제어하여 복싱 게임에 대한 동작, 자세, 반응속도 등을 연습할 수 있는 콘텐츠를 즐길 수 있다. 제안한 동작 인식 기반 게임은 MediaPipe 기술을 이용하여 자신의 동작으로 게임 캐릭터를 제어하여 더 강한 몰입감을 느낄 수 있고, 비싼 VR 기기들 없이 웹캠만 있으면 어디서든 즐길 수 있고, 다양한 콘텐츠를 싼 가격에 즐길 수 있다.

• Journal of the Korea Computer Graphics Society
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• v.15 no.4
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• pp.31-40
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• 2009

Captured motion data is widely used today in a variety of areas including film production, game development, sports analysis, and medical rehabilitation. The ability of analyzing and processing motion data has increased rapidly for last decades. However, it is still difficult for users to quickly understand the contents of motion data consisting of a series of time-varying poses. One typical approach is to visualize consecutive poses in sequence while adjusting three-dimensional view, which is often time-consuming and laborious especially when users need to repeatedly control time and view in order to search for desired motions. We present a method of visualizing motion data as a sequence of images in comic book layout so that users can rapidly understand the overall flows of motion data, and easily identify their desired motions. The usefulness of our approach is demonstrated by visualizing various kinds of motion data including locomotion, boxing, and interaction with environments.