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Structuring and use of motion data for computer manikin work task simulations
University West, Department of Engineering Science, Divison of Natural Sciences, Surveying and Mechanical Engineering. (PTW)ORCID iD: 0000-0002-9782-1686
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
Keywords [en]
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: urn:nbn:se:hv:diva-7134ISBN: 9789175970998 (print)OAI: oai:DiVA.org:hv-7134DiVA, id: diva2:770696
Opponent
Supervisors
Available from: 2014-12-11 Created: 2014-12-11 Last updated: 2018-07-25Bibliographically approved
List of papers
1. Standardization of Motion Databases for DHM Applications: Challenges, Issues and considerations
Open this publication in new window or tab >>Standardization of Motion Databases for DHM Applications: Challenges, Issues and considerations
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2014 (English)In: Article in journal (Refereed) Submitted
Keywords
Motion capture database, standardization, digital human modeling
National Category
Robotics
Research subject
ENGINEERING, Manufacturing and materials engineering
Identifiers
urn:nbn:se:hv:diva-7118 (URN)
Note

Ingår i avhandling

Available from: 2014-12-11 Created: 2014-12-11 Last updated: 2018-07-25Bibliographically approved
2. Using methods-time measurement to connect digital humans and motion databases
Open this publication in new window or tab >>Using methods-time measurement to connect digital humans and motion databases
2013 (English)In: Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349, Vol. 8026, no Part 2, p. 343-352Article in journal (Refereed) Published
Abstract [en]

To simulate human motions in DHM tools, using techniques which are based on real human data is one promising solution. We have presented a solution in this study to connect motion databases with DHM tools. We have showed that using a motion database with MTM-based annotations is a promising way in order to synthesize natural looking motions. A platform consists of a Motion Database, a Motion Generator, and a DHM tool was introduced and tested. The results showed successful application of the presented platform in the designed test case. © 2013 Springer-Verlag.

Place, publisher, year, edition, pages
Las Vegas, NV: , 2013
Keywords
Digital Human Modeling, Human Motion Simulation, Motion Databases, Digital humans, Human data, Human motions, Motion database, Motion generator, Test case, Database systems, Risk management, Tools, Ergonomics, Work-integrated Learning, WIL, AIL
National Category
Robotics
Research subject
ENGINEERING, Mechatronics; Work Integrated Learning
Identifiers
urn:nbn:se:hv:diva-5571 (URN)10.1007/978-3-642-39182-8_40 (DOI)2-s2.0-84879979240 (Scopus ID)03029743 (ISSN); 9783642391811 (ISBN) (ISBN)
Conference
4th Int. Conf. on Digital Human Modeling and Applications in Health, Safety, Ergonomics, and Risk Management: Human Body Modeling and Ergonomics, DHM 2013, Held as Part of 15th Int. Conf. on Human-Computer Interaction, HCI 2013; Las Vegas, NV; United States; 21 July 2013 through 26 July 2013; Code 97767
Available from: 2013-08-19 Created: 2013-08-13 Last updated: 2018-07-25Bibliographically approved
3. Extending Functionalities of DHM Tools Using Motion Databases
Open this publication in new window or tab >>Extending Functionalities of DHM Tools Using Motion Databases
2014 (English)In: International Journal of Industrial Ergonomics, ISSN 0169-8141, E-ISSN 1872-8219Article in journal (Refereed) Submitted
Place, publisher, year, edition, pages
Amsterdam: Elsevier, 2014
Keywords
Digital Human Modelling, Motion Databases, Natural looking Motion
National Category
Robotics
Research subject
ENGINEERING, Manufacturing and materials engineering
Identifiers
urn:nbn:se:hv:diva-7132 (URN)
Note

Ingår i dissertation

Available from: 2014-12-11 Created: 2014-12-11 Last updated: 2018-07-25Bibliographically approved
4. Schema for Motion Capture Data Management
Open this publication in new window or tab >>Schema for Motion Capture Data Management
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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.

Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 6777
Keywords
motion capture database, virtual production systems, digital human modeling, computerized ergonomic analysis
National Category
Robotics
Research subject
ENGINEERING, Mechatronics
Identifiers
urn:nbn:se:hv:diva-4472 (URN)10.1007/978-3-642-21799-9_11 (DOI)978-3-642-21798-2 (ISBN)
Conference
3rd International Conference on Digital Human Modeling, ICDHM 2011
Available from: 2012-06-28 Created: 2012-06-28 Last updated: 2018-07-25Bibliographically approved
5. Motion synthesizer platform for moving manikins
Open this publication in new window or tab >>Motion synthesizer platform for moving manikins
2012 (English)In: 2012 AHFE International Conference 21-25 July 2012 Hilton San Francisco, Union Square, California: Conference proceedings, AHFE , 2012, p. 545-554Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
AHFE, 2012
Keywords
Digital human models, Human motion analysis, Motion synthesizing
National Category
Robotics
Research subject
ENGINEERING, Mechatronics; Production Technology
Identifiers
urn:nbn:se:hv:diva-4457 (URN)978-0-9796435-5-2 (ISBN)
Conference
AHFE 2012. Held as a part of 4th international conference on applied human factors and ergonomics, AHFE 2012
Available from: 2012-06-28 Created: 2012-06-26 Last updated: 2018-08-09Bibliographically approved
6. Ergonomic Risk Assessment Using Motion Data Modelling, Exposure Calculation and Comparison with an Epidemiological Reference Database
Open this publication in new window or tab >>Ergonomic Risk Assessment Using Motion Data Modelling, Exposure Calculation and Comparison with an Epidemiological Reference Database
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2014 (English)In: International Journal of Human Factors Modelling and Simulation, ISSN 1742-5557Article in journal (Refereed) Submitted
Place, publisher, year, edition, pages
InderScience Publishers, 2014
Keywords
Ergonomic risk assessment, digital manikins, modelling, time-sensitive, workload, wrist joint
National Category
Robotics
Research subject
ENGINEERING, Manufacturing and materials engineering
Identifiers
urn:nbn:se:hv:diva-7124 (URN)
Note

Ingår i dissertation

Available from: 2014-12-11 Created: 2014-12-11 Last updated: 2018-07-25Bibliographically approved

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Citation style
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  • de-DE
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Output format
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