• Title, Summary, Keyword: Motion Capture

Search Result 546, Processing Time 0.037 seconds

Implementation of New Markup Language for Integrating of Motion Capture Data formats (모션 캡쳐 데이타 통합을 위한 새로운 마크업 언어의 구현)

  • 정현숙;이일병
    • Journal of KIISE:Software and Applications
    • /
    • v.30 no.3_4
    • /
    • pp.219-230
    • /
    • 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.

Storing and Retrieving Motion Capture Data based on Motion Capture Markup Language and Fuzzy Search (MCML 기반 모션캡처 데이터 저장 및 퍼지 기반 모션 검색 기법)

  • Lee, Sung-Joo;Chung, Hyun-Sook
    • Journal of the Korean Institute of Intelligent Systems
    • /
    • v.17 no.2
    • /
    • pp.270-275
    • /
    • 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.

Design & Implementation of a Motion Capture Database Based on Motion Ontologies (온톨로지 기반의 모션 캡처 데이터베이스 설계 및 구현)

  • Chung Hyun-Sook
    • Journal of Korea Multimedia Society
    • /
    • v.8 no.5
    • /
    • pp.618-632
    • /
    • 2005
  • A framework for semantic annotation oi human motion sequences is proposed in this paper. Motion capture technology is widely used for manuiacturing animation since it produces high qualify 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. It is difficult for animators to retrieve the desired motion sequences from motion capture files as there is no semantic annotation on already captured motion data. Our goal is to improve the reusability of motion capture data. To archive our goal first, we propose a standard format for integrating different motion capture file formals. 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 Second, we define motion ontologies that are used to annotate and semantically organize human motion sequences. This ontology-based approach provides the means for discovering and exploiting the information and knowledge surrounding motion capture data.

  • PDF

Jitter Correction of the Face Motion Capture Data for 3D Animation

  • Lee, Junsang;Han, Soowhan;Lee, Imgeun
    • Journal of the Korea Society of Computer and Information
    • /
    • v.20 no.9
    • /
    • pp.39-45
    • /
    • 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.

ESTIMATING THE MOTION OF THE HUMAN JOINTS USING OPTICAL MOTION CAPTURE SYSTEM

  • Park, Jun-Young;Kyota, Fumihito;Saito, Suguru;Nakajima, Masayuki
    • Proceedings of the Korean Society of Broadcast Engineers Conference
    • /
    • /
    • pp.764-767
    • /
    • 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.

  • PDF

Trends of Intellectual Property on Musculoskeletal Disorder, Motion Capture Technology and Ergonomics

  • Yoon, Sang-Young;Jung, Myung-Chul
    • Journal of the Ergonomics Society of Korea
    • /
    • v.34 no.5
    • /
    • pp.437-445
    • /
    • 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.

Identification of user's Motion Patterns using Motion Capture System

  • Jung, Kwang Tae;Lee, Jaein
    • Journal of the Ergonomics Society of Korea
    • /
    • v.33 no.6
    • /
    • pp.453-463
    • /
    • 2014
  • Objective:The purpose of this study is to identify motion patterns for cellular phone and propose a method to identify motion patterns using a motion capture system. Background: In a smart device, the introduction of tangible interaction that can provide new experience to user plays an important role for improving user's emotional satisfaction. Firstly, user's motion patterns have to be identified to provide an interaction type using user's gesture or motion. Method: In this study, a method to identify motion patterns using a motion capture system and user's motion patterns for using cellular phone was studied. Twenty-two subjects participated in this study. User's motion patterns were identified through motion analysis. Results: Typical motion patterns for shaking, shaking left and right, shaking up and down, and turning for using cellular phone were identified. Velocity and acceleration for each typical motion pattern were identified, too. Conclusion: A motion capture system could be effectively used to identify user's motion patterns for using cellular phone. Application: Typical motion patterns can be used to develop a tangible user interface for handheld device such as smart phone and a method to identify motion patterns using motion analysis can be applied in motion patterns identification of smart device.

Motion-Capture-Based Animation in Mobile Embedded Systems Using Motion Capture Database Reduction Technique (데이터베이스 축소기법을 사용한 모바일 임베디드 시스템에서의 모션 캡쳐 기반 애니메이션)

  • Han, Young-Mo
    • The KIPS Transactions:PartB
    • /
    • v.14B no.6
    • /
    • pp.437-444
    • /
    • 2007
  • The objective of this paper is to accommodate the existing motion-capture-based animation to small memories and low computing powers of mobile embedded systems. To use efficiently memories, we propose a paradigm in which a motion capture database is compressed on a PC and so-compressed motion capture database is decompressed little by little on mobile embedded systems and the decompressed data are eliminated right after used. As a compression method for this paradigm we propose an approach that compresses captured motion rendering parameters using a polynomial function fitting method. To enhance its performance we also propose an optimization method for the degree of the polynomial fitting function. Using so-obtained compression method we demonstrate motion-capture-based animation on commercial mobile embedded systems.

The Stabilizing Method for Face Tracking Data from Markerless Motion Capture System (마커리스 방식의 얼굴 모션캡쳐 데이터 안정화 기법)

  • Lee, Jun-sang;Lee, Imgenu
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • /
    • pp.773-774
    • /
    • 2015
  • Motion capture tracks the movement of the actor and quickly transfers it as a motion data for animation purposes. The data from the motion capture can be easily controled and applied to animating characters to make realistic movement. But conventional motion capture system is very expensive and need spacious room for its own. Recently Kinect based motion capture is widely used for its simplicity and comparably low budget. However, the Kinect based motion capture data is often corrupted by jitter and unstable data. In this paper, we propose the novel post processing method to stabilize the unwanted jitter in the motion capture data.

  • PDF

A motion capture and mimic system (운동포착 및 재현 시스템)

  • 윤중선;최원수
    • 제어로봇시스템학회:학술대회논문집
    • /
    • /
    • pp.1344-1347
    • /
    • 1996
  • A general procedure for motion capture and mimic system has been delineated. Utilizing sensors operated in the magnetic fields, complex and optimized movements are easily digitized to analyze and follow. Design concepts of the system are modular, open, and user friendly to ensure the overall system performance. The system consists of motion capture, visualization, plan, mimic and GUI modules. This procedure is currently being implemented on a virtual cyber cube.

  • PDF