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Schema for Motion Capture Data Management
University West, Department of Engineering Science, Division of Natural Sciences and Electrical and Surveying Engineering.
University West, Department of Engineering Science, Division of Mechanical Engineering.ORCID iD: 0000-0001-5236-0954
University West, Department of Engineering Science, Division of Natural Sciences and Electrical and Surveying Engineering.ORCID iD: 0000-0002-4329-418X
Volvo Car Corporation.
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2011 (English)In: Lecture Notes in Computer Science. 3rd International Conference on Digital Human Modeling, ICDHM 2011: Orlando, 9-14 July 2011, 2011, p. 99-108Conference paper, Published paper (Refereed)
Abstract [en]

A unified database platform capable of storing both motion captured data and information about these motions (metadata) is described. The platform stores large motion captured data in order to be used by different applications for searching, comparing, analyzing and updating existing motions. The platform is intended to be used to choose a realistic motion in simulation of production lines. It is capable of supporting and handling different motion formats, various skeleton types and distinctive body regions in a uniform data model. Extended annotating system is also introduced to mark the captured data not only in the time domain (temporal) but also on different body regions (spatial). To utilize the platform, sample tests are performed to prove the functionality. Several motion captured data is uploaded to the database while MATLAB is used to access the data, ergonomically analyze the motions based on OWAS standard, and add the results to the database by automatic tagging of the postures.

Place, publisher, year, edition, pages
2011. p. 99-108
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 6777
Keyword [en]
motion capture database, virtual production systems, digital human modeling, computerized ergonomic analysis
National Category
Robotics
Research subject
ENGINEERING, Mechatronics
Identifiers
URN: urn:nbn:se:hv:diva-4472DOI: 10.1007/978-3-642-21799-9_11ISBN: 978-3-642-21798-2 (print)OAI: oai:DiVA.org:hv-4472DiVA, id: diva2:537911
Conference
3rd International Conference on Digital Human Modeling, ICDHM 2011
Available from: 2012-06-28 Created: 2012-06-28 Last updated: 2016-11-21Bibliographically approved
In thesis
1. Toward motion-capture-based digital human modelling
Open this publication in new window or tab >>Toward motion-capture-based digital human modelling
2012 (English)Licentiate thesis, comprehensive summary (Other academic)
Place, publisher, year, edition, pages
Göteborg: Chalmers University of Technology, 2012. p. 47
Series
Research series from Chalmers University of Technology, Department of Product and Production Development, ISSN 1652-9243 ; 62
Keyword
Digital human modeling, Motion capture data management, Virtual production tools, Human motion simulation
National Category
Robotics
Research subject
ENGINEERING, Mechatronics
Identifiers
urn:nbn:se:hv:diva-4474 (URN)
Available from: 2012-09-04 Created: 2012-06-28 Last updated: 2015-10-02Bibliographically approved
2. Structuring and use of motion data for computer manikin work task simulations
Open this publication in new window or tab >>Structuring and use of motion data for computer manikin work task simulations
2014 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Modelling and simulation of human motions are of great interest for a number of industrial applications such as ergonomics and production planning. Over time, efforts have been made to provide computerized human models with biomechanically accurate underlying skeleton and realistically rendered volumetric representation of muscles, skin, clothes, etc. known as computer manikins. Despite considerable progress in computational methods for human motion generation in these models, there are still major challenges to generate natural looking motions for daily routine tasks for example in manual assembly lines. This research work proposes a software platform, related methods, and data structures to support use of real motion data for simulating and analysing routine work tasks. One contribution of this thesis is to find ways to deploy motion data in a uniform and efficient manner. The outcomes are a data schema, standards for data conversions, and procedures to aggregate motion data in a unified database. Another part of this thesis is dedicated to 'generating new motions by re-using stored data'. This is done by a synthesizer platform consisting of modules which are able to decompose tasks into primary motions, to search and retrieve motion pieces from the motion database, and to compose a new motion based on the required specifications. In addition, this thesis, presents a method to analyse the generated motions using time-varied motion data. Results of this work contribute in extending current tool functionalities by simulating complicate routine motions which, if not impossible, are very hard to simulate using today's computational algorithms. This work also improves the use of time-varied direct measurement analysis tools against traditional static observational methods.

Place, publisher, year, edition, pages
Göteborg: Chalmers tekniska högskola, 2014. p. xvi, 75 s.
Series
Doktorsavhandlingar vid Chalmers tekniska högskola, ISSN 0346-718X ; 3780
Keyword
Digital Human Modelling, Computer Manikins, Motion Capture Data Management, Virtual Production Tools, Human Motion Simulation, Motion Synthesis
National Category
Robotics
Research subject
ENGINEERING, Manufacturing and materials engineering
Identifiers
urn:nbn:se:hv:diva-7134 (URN)9789175970998 (ISBN)
Opponent
Supervisors
Available from: 2014-12-11 Created: 2014-12-11 Last updated: 2014-12-11Bibliographically approved

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Johansson, HenrikEricsson, Mikael

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