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Motion synthesizer platform for moving manikins
University West, Department of Engineering Science, Division of Natural Sciences and Electrical and Surveying Engineering. University West, Department of Engineering Science, Research Enviroment Production Technology West. (PTW)ORCID iD: 0000-0002-9782-1686
University West, Department of Engineering Science, Division of Natural Sciences and Electrical and Surveying Engineering. (PTW)ORCID iD: 0000-0002-4329-418X
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. p. 545-554
Keywords [en]
Digital human models, Human motion analysis, Motion synthesizing
National Category
Robotics and automation
Research subject
ENGINEERING, Mechatronics; Production Technology
Identifiers
URN: urn:nbn:se:hv:diva-4457ISBN: 978-0-9796435-5-2 (electronic)OAI: oai:DiVA.org:hv-4457DiVA, id: diva2:537913
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: 2025-02-09Bibliographically 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
Keywords
Digital human modeling, Motion capture data management, Virtual production tools, Human motion simulation
National Category
Robotics and automation
Research subject
ENGINEERING, Mechatronics
Identifiers
urn:nbn:se:hv:diva-4474 (URN)
Available from: 2012-09-04 Created: 2012-06-28 Last updated: 2025-02-09Bibliographically 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
Keywords
Digital Human Modelling, Computer Manikins, Motion Capture Data Management, Virtual Production Tools, Human Motion Simulation, Motion Synthesis
National Category
Robotics and automation
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: 2025-02-09Bibliographically approved

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Keyvani, AliEricsson, Mikael

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