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Ergonomic Risk Assessment Using Motion Data Modelling, Exposure Calculation and Comparison with an Epidemiological Reference Database
University West, Department of Engineering Science, Divison of Natural Sciences, Surveying and Mechanical Engineering. (PTW)ORCID iD: 0000-0002-9782-1686
Chalmers tekniska högskola.
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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.
Keyword [en]
Ergonomic risk assessment, digital manikins, modelling, time-sensitive, workload, wrist joint
National Category
Robotics
Research subject
ENGINEERING, Manufacturing and materials engineering
Identifiers
URN: urn:nbn:se:hv:diva-7124OAI: oai:DiVA.org:hv-7124DiVA: diva2:770644
Note

Ingår i dissertation

Available from: 2014-12-11 Created: 2014-12-11 Last updated: 2014-12-11Bibliographically 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. xvi, 75 s. p.
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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Citation style
  • apa
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Language
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Output format
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