Industrial path solutions - intelligently moving manikinsShow others and affiliations
2019 (English)In: DHM and Posturography / [ed] Sofia Scataglini; Gunther Paul, London: Academic Press, 2019, p. 115-124Chapter in book (Other academic)
Abstract [en]
IPS IMMA (Industrial Path Solutions - Intelligently Moving Manikins) is a digital human modeling tool developed in close cooperation between academia and industry in Sweden. The academic consortium behind the software consists of expertise within applied mathematics, ergonomics, and engineering. The development of IMMA was initiated from the vehicle industries’ need of an effective, efficient, objective, and user-friendly software for verification of manufacturing ergonomics. The ‘Industrial path solutions - intelligently moving manikins’ chapter consists of two main sections: the first about the commercially available tool, and the second about current or recent research projects developing the software further. Commercial IPS IMMA is presented by describing the biomechanical model and appearance, anthropometrics module, motion prediction, instruction language, and ergonomics evaluation. The research projects focus on dynamic motions simulation, muscle modelling and application areas such as human-robot collaboration, occupant packaging, and layout planning.
Place, publisher, year, edition, pages
London: Academic Press, 2019. p. 115-124
Keywords [en]
Design, Development, Digital, Engineering, Ergonomics, Human, Modeling, Software, Simulation, Product, Production, Verification, Virtual, Visualization
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
User Centred Product Design; INF202 Virtual Ergonomics; VF-KDO
Identifiers
URN: urn:nbn:se:his:diva-17571DOI: 10.1016/B978-0-12-816713-7.00011-8Scopus ID: 2-s2.0-85081405218ISBN: 978-0-12-816713-7 (print)OAI: oai:DiVA.org:his-17571DiVA, id: diva2:1345514
Projects
IMMACROMM3D-SILVERVirtual Verification of Human-Robot CollaborationVirtual DriverVirtual Driver Ergonomics
Part of project
Virtual factories with knowledge-driven optimization (VF-KDO), Knowledge Foundation
Funder
Swedish Foundation for Strategic Research, PV09.13Vinnova, 2012-04584Vinnova, 2015-01451Vinnova, 2015-03719Knowledge Foundation, 20140296Knowledge Foundation, 201602962019-08-262019-08-262024-06-19Bibliographically approved