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Extending Functionalities of DHM Tools Using Motion Databases
Högskolan Väst, Institutionen för ingenjörsvetenskap, Avd för naturvetenskap, lantmäteri- och maskinteknik. (PTW)ORCID-id: 0000-0002-9782-1686
Virtal Methods and IT, Volvo Cars, Gothenburg.
Högskolan Väst, Institutionen för ingenjörsvetenskap, Avd för automationssystem. (PTW)ORCID-id: 0000-0002-1869-232X
Chalmers tekniska högskola.
2014 (engelsk)Inngår i: International Journal of Industrial Ergonomics, ISSN 0169-8141, E-ISSN 1872-8219Artikkel i tidsskrift (Fagfellevurdert) Submitted
sted, utgiver, år, opplag, sider
2014.
Emneord [en]
Digital Human Modelling, Motion Databases, Natural looking Motion
HSV kategori
Forskningsprogram
TEKNIK, Produktions- och materialteknik
Identifikatorer
URN: urn:nbn:se:hv:diva-7132OAI: oai:DiVA.org:hv-7132DiVA, id: diva2:770684
Merknad

Ingår i dissertation

Tilgjengelig fra: 2014-12-11 Laget: 2014-12-11 Sist oppdatert: 2019-05-10bibliografisk kontrollert
Inngår i avhandling
1. Structuring and use of motion data for computer manikin work task simulations
Åpne denne publikasjonen i ny fane eller vindu >>Structuring and use of motion data for computer manikin work task simulations
2014 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
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.

sted, utgiver, år, opplag, sider
Göteborg: Chalmers tekniska högskola, 2014. s. xvi, 75 s.
Serie
Doktorsavhandlingar vid Chalmers tekniska högskola, ISSN 0346-718X ; 3780
Emneord
Digital Human Modelling, Computer Manikins, Motion Capture Data Management, Virtual Production Tools, Human Motion Simulation, Motion Synthesis
HSV kategori
Forskningsprogram
TEKNIK, Produktions- och materialteknik
Identifikatorer
urn:nbn:se:hv:diva-7134 (URN)9789175970998 (ISBN)
Opponent
Veileder
Tilgjengelig fra: 2014-12-11 Laget: 2014-12-11 Sist oppdatert: 2018-07-25bibliografisk kontrollert

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