• Physical Therapy Korea
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• v.29 no.2
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• pp.87-93
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• 2022

To solve the pathological problems of the musculoskeletal system based on evidence, a sophisticated analysis of human motion is required. Traditional optical motion capture systems with high validity and reliability have been utilized in clinical practice for a long time. However, expensive equipment and professional technicians are required to construct optical motion capture systems, hence they are used at a limited capacity in clinical settings despite their advantages. The development of information technology has overcome the existing limit and paved the way for constructing a motion capture system that can be operated at a low cost. Recently, with the development of computer vision-based technology and optical markerless tracking technology, webcam-based 3D human motion analysis has become possible, in which the intuitive interface increases the user-friendliness to non-specialists. In addition, unlike conventional optical motion capture, with this approach, it is possible to analyze motions of multiple people at simultaneously. In a non-optical motion capture system, an inertial measurement unit is typically used, which is not significantly different from a conventional optical motion capture system in terms of its validity and reliability. With the development of markerless technology and advent of non-optical motion capture systems, it is a great advantage that human motion analysis is no longer limited to laboratories.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.764-767
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• 2009

Motion capture systems allow to measure the precise position of markers on the human body in real time. These captured motion data, the marker position data, have to be fitted by a human skeleton model to represent the motion of the human. Typical human skeleton models approximate the joints using a ball joint model. However, because this model cannot represent the human skeleton precisely, errors between the motion data and the movements of the simplified human skeleton model happen. We propose in this paper a method for measuring a translation component of wrist, and elbow joints on upper limb using optical motion capture system. Then we study the errors between the ball joint model and acquired motion data. In addition, we discuss the problem to estimate motion of human joint using optical motion capture system.

• Journal of the Ergonomics Society of Korea
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• v.34 no.5
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• pp.437-445
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• 2015

Objective: The aims of this study are to investigate the trends of intellectual property in order to identify the ergonomic approaches on musculoskeletal disorders, harmful factors of musculoskeletal disorders, and to find the potential applicability of motion capture technology. Background: Ergonomic posture assessment tools often showed interrater variance, though the usage is easy and practical in industrial fields. Moreover new technologies such as motion capture showed the potential applicability in posture assessment. So ergonomists and practitioners became interested in the intellectual properties on musculoskeletal disorder and motion capture technology. Method: Intellectual properties were collected with the combination of keywords such as ergonomic, musculoskeletal disorder, and motion capture using the KIPRIS (Korea Intellectual Property Rights Information Service). Collected intellectual properties were classified into ergonomic area and non-ergonomic area, except unexamined intellectual properties. This study investigated the trend of application of intellectual properties and the probability of using motion capture technology. Results: Few intellectual properties with ergonomic approach on musculoskeletal disorders were founded, despite many products for rehabilitation and sports. One hundred twenty five patents in 1105 patents on musculoskeletal disorders and 138 patents in 1908 patents on motion capture technology were classified into the patents that ergonomic approach can be applied. The patents related to ergonomics area are rapidly increasing after 2010, and there are good opportunities for ergonomists to apply the patents. Conclusion: This study found opportunities on novel methodology in detecting the harmful factors of musculoskeletal disorders, and that the motion capture technology is applicable in ergonomic posture assessment. Application: The results of this study can help ergonomists prepare the ergonomic patents, and can show the potential use of motion capture technology in detecting the harmful posture of musculoskeletal disorders.

• Journal of KIISE:Software and Applications
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• v.30 no.3_4
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• pp.219-230
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• 2003

Motion capture technology is widely used to make a realistic motion in these days. So, motion capture data is required to exchange between many animators in a work group. But different motion capture devices have different motion rapture data formats. Thus it is difficult that a animator reuse and exchange motion capture data in a storage. In this paper, we proposes a standard format for integrating a different motion capture data format. In addition, we proposes a framework of a system that manage motion capture data using our standard format. Our standard format is called MCML(Motion Capture Markup Language). It is a markup language for motion capture data and based on XML(extensable Markup Language). Our system to manage motion capture data consists of a several component - MCML Converter, MCML , MCML Editor, Motion Viewer.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.1629-1632
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• 2003

A technique is presented for generating a compound human motion from its primitive motions obtained by a motion capture system. Some human fundamental motions are modeled in a 3-D way and registered as primitive motions. Because the factorization method is used for the motion capture, calibration of video cameras and connection of the motion in the direction of time is both unnecessary. Employing these motions, various compound human motions are generated by connecting the motions after having applied rotation and parallel transformation to them. Linear interpolation is done at the discontinuous boundary between primitive motions and smooth connection is achieved. Experimental results show satisfactory performance of the proposed technique. The technique may contribute to producing various complicated human motions without much effort using a strict motion capture system.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.2
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• pp.87-92
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• 2024

The rapid development of artificial intelligence technology in recent years is evident, from the emergence of ChatGPT to innovations like Midjourney, Stable Diffution, and the upcoming SORA text-to-video technology by OPENai. Animation capture technology, driven by the AI technology trend, is undergoing significant advancements, accelerating the progress of the animation industry. Through an analysis of the current application of DEEPMOTION, this paper explores the development direction of AI motion capture technology, analyzes issues such as errors in multi-person object motion capture, and examines the vast prospects. With the continuous advancement of AI technology, the ability to recognize and track complex movements and expressions faster and more accurately, reduce human errors, enhance processing speed and efficiency. This advancement lowers technological barriers and accelerates the fusion of virtual and real worlds.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.2
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• pp.270-275
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• 2007

Motion capture technology is widely used for manufacturing animation since it produces high quality character motion similar to the actual motion of the human body. However, motion capture has a significant weakness due to the lack of an industry wide standard for archiving and retrieving motion capture data. In this paper, we propose a framework to integrate, store and retrieve heterogeneous motion capture data files effectively. We define a standard format for integrating different motion capture file formats. Our standard format is called MCML (Motion Capture Markup Language). It is a markup language based on XML (eXtensible Markup Language). The purpose of MCML is not only to facilitate the conversion or integration of different formats, but also to allow for greater reusability of motion capture data, through the construction of a motion database storing the MCML documents. We propose a fuzzy string searching method to retrieve certain MCML documents including strings approximately matched with keywords. The method can be used to retrieve desired series of frames included in MCML documents not entire MCML documents.

• Journal of Korea Multimedia Society
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• v.19 no.8
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• pp.1587-1596
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• 2016

This paper presents an interactive locomotion controller using motion capture data and inverted pendulum model. Most of the data-driven character controller using motion capture data have two kinds of limitation. First, it needs many example motion capture data to generate realistic motion. Second, it is difficult to make natural-looking motion when characters navigate dynamic terrain. In this paper, we present a technique that uses dimension reduction technique to motion capture data together with the Gaussian process dynamical model (GPDM), and interpolates the low-dimensional data to make final motion. With the low-dimensional data, we can make realistic walking motion with few example motion capture data. In addition, we apply the inverted pendulum model (IPM) to calculate the root trajectory considering the real-time user input upon the dynamic terrain. Our method can be used in game, virtual training, and many real-time applications.

• Journal of the Korea Society of Computer and Information
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• v.20 no.9
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• pp.39-45
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• 2015

Along with the advance of digital technology, various methods are adopted for capturing the 3D animating data. Especially, in 3D animation production market, the motion capture system is widely used to make films, games, and animation contents. The technique quickly tracks the movements of the actor and translate the data to use as animating character's motion. Thus the animation characters are able to mimic the natural motion and gesture, even face expression. However, the conventional motion capture system needs tricky conditions, such as space, light, number of camera etc. Furthermore the data acquired from the motion capture system is frequently corrupted by noise, drift and surrounding environment. In this paper, we introduce the post production techniques to stabilizing the jitters of motion capture data from the low cost handy system based on Kinect.

• The Journal of the Korea Contents Association
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• v.7 no.8
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• pp.109-116
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• 2007

Motion Capture in multimedia contents of the imagination world is utilized in various field such as game, movie, TV. Motion Capture technology of most of game is utilized. As well as is more realistic if use motion Capture and superior time and monetary aspect than previous key frame (Key-Framing) way as well as can display screen that do dynamic, there is more excellent advantage in qualitative aspect. But, is utilizing in some specialty companies and use example was not informed much about problem when is very lacking, and utilize yet in learned circles. Extract motion data of various action using optic motion Capture of motion Capture equipment in this treatise, and investigated about problem that appear when applied in character that is different from a person.