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Motion synthesizer platform for moving manikins
Högskolan Väst, Institutionen för ingenjörsvetenskap, Avd för elektro, lantmäteri och naturvetenskap. Högskolan Väst, Institutionen för ingenjörsvetenskap, Forskningsmiljön produktionsteknik(PTW). (PTW)ORCID-id: 0000-0002-9782-1686
Högskolan Väst, Institutionen för ingenjörsvetenskap, Avd för maskinteknik. (PTW)ORCID-id: 0000-0001-5236-0954
Högskolan Väst, Institutionen för ingenjörsvetenskap, Avd för elektro, lantmäteri och naturvetenskap. (PTW)ORCID-id: 0000-0002-4329-418X
2012 (engelsk)Inngår i: 2012 AHFE International Conference 21-25 July 2012 Hilton San Francisco, Union Square, California: Conference proceedings, AHFE , 2012, s. 545-554Konferansepaper, Publicerat paper (Fagfellevurdert)
sted, utgiver, år, opplag, sider
AHFE , 2012. s. 545-554
Emneord [en]
Digital human models, Human motion analysis, Motion synthesizing
HSV kategori
Forskningsprogram
TEKNIK, Mekatronik; Produktionsteknik
Identifikatorer
URN: urn:nbn:se:hv:diva-4457ISBN: 978-0-9796435-5-2 (digital)OAI: oai:DiVA.org:hv-4457DiVA, id: diva2:537913
Konferanse
AHFE 2012. Held as a part of 4th international conference on applied human factors and ergonomics, AHFE 2012
Tilgjengelig fra: 2012-06-28 Laget: 2012-06-26 Sist oppdatert: 2018-08-09bibliografisk kontrollert
Inngår i avhandling
1. Toward motion-capture-based digital human modelling
Åpne denne publikasjonen i ny fane eller vindu >>Toward motion-capture-based digital human modelling
2012 (engelsk)Licentiatavhandling, med artikler (Annet vitenskapelig)
sted, utgiver, år, opplag, sider
Göteborg: Chalmers University of Technology, 2012. s. 47
Serie
Research series from Chalmers University of Technology, Department of Product and Production Development, ISSN 1652-9243 ; 62
Emneord
Digital human modeling, Motion capture data management, Virtual production tools, Human motion simulation
HSV kategori
Forskningsprogram
TEKNIK, Mekatronik
Identifikatorer
urn:nbn:se:hv:diva-4474 (URN)
Tilgjengelig fra: 2012-09-04 Laget: 2012-06-28 Sist oppdatert: 2018-07-25bibliografisk kontrollert
2. 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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