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Using methods-time measurement to connect digital humans and motion databases
University West, Department of Engineering Science, Division of Natural Sciences and Electrical and Surveying Engineering. (PTW)
Volvo Car Corporation, Gothenburg.
University West, Department of Engineering Science, Division of Production Engineering. (PTW)ORCID iD: 0000-0002-1869-232X
Chalmers University.
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. Vol. 8026, no Part 2, p. 343-352
Keywords [en]
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
Keywords [sv]
AIL
National Category
Robotics
Research subject
ENGINEERING, Mechatronics; PROFILE AREAS, Work Integrated Learning
Identifiers
URN: urn:nbn:se:hv:diva-5571DOI: 10.1007/978-3-642-39182-8_40Scopus ID: 2-s2.0-84879979240ISBN: 03029743 (ISSN); 9783642391811 (ISBN) (print)OAI: oai:DiVA.org:hv-5571DiVA, id: diva2:641747
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: 2017-12-06Bibliographically approved
In thesis
1. 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
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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Bolmsjö, Gunnar

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