CPL - Chalmers Publication Library

Toward motion-capture-based digital human modelling

Författare och institution:
Ali Keyvani (Institutionen för produkt- och produktionsutveckling, Produktionssystem)
Antal sidor:
47
Publikationstyp:
Licentiatavhandling
Förlag:
Chalmers University of Technology
Förlagsort:
Göteborg
Publiceringsår:
2012
Språk:
engelska
Datum för examination:
2012-05-21
Tidpunkt för examination:
10:00
Lokal:
Virtual Development Laboratory, Chalmers University of Technology
Opponent:
Dan Högberg
Inkluderade delarbeten:
Fulltextlänk (lokalt arkiv):
Sammanfattning (abstract):
Digital Human Models (DHMs) are getting more applicable in the simulation of human postures/actions inside virtual production systems. Despite the existence of various modeling techniques, simulated motions are still looking unrealistic. One way to increase the natural looking of simulated motions is to use real human data as a source for motion simulation algorithms. Motion capture is a common tool to record real human motions and has been widely used in animation and game applications. It is observed that although many research studies embrace the profitability of using real human data for motion simulation in DHM tools, the existing motion capture data can be hardly reused in a systematic way. Number of reasons such as variations in skeleton configurations and motion formats, and non-efficient annotating of motions are identified as the reasons for this problem. In this thesis first a data schema for motion capture data management is presented. The purpose of such schema is to store and manipulate motion data in a way that mentioned problems are not arising. A synthesizer platform is also presented which is able to store motions taken from real human in the database and synthesize new motions using already existing motions. The platform is able to search the database, analyze the data, and feed the data to DHM tools. The platform functionality was tested within two areas: a) by composing new motions by combining the arm motions and walking motions from different subjects and b) by using analysis tools to compare generated motions in a commercial software against captured motions from real human.
Ämne (baseras på Högskoleverkets indelning av forskningsämnen):
TEKNIK OCH TEKNOLOGIER ->
Maskinteknik ->
Produktionsteknik, arbetsvetenskap och ergonomi
Nyckelord:
Digital Human Modeling, Motion Capture Data Management, Virtual Production Tools, Human Motion Simulation
Postens nummer:
164482
Posten skapad:
2012-10-08 14:31
Posten ändrad:
2013-11-13 11:08

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