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Digital Human Modelling: Inclusive Design and the Ageing Population
School of Design and Creative Arts, Loughborough University, UK.ORCID iD: 0000-0002-9524-8951
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (User Centred Product Design)ORCID iD: 0000-0002-0125-0832
School of Design and Creative Arts, Loughborough University, UK.
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (User Centred Product Design)ORCID iD: 0000-0003-4596-3815
2022 (English)In: Internet of Things for Human-Centered Design: Application to Elderly Healthcare / [ed] Sofia Scataglini; Silvia Imbesi; Gonçalo Marques, Singapore: Springer Nature, 2022, 1, p. 73-96Chapter in book (Refereed)
Abstract [en]

Digital human modelling (DHM) is a tool that allows humans to be modelled in three-dimensional CAD. An almost infinite variety of humans can be modelled and families of so-called manikins can be created to act as virtual user groups, evaluating the interactions between humans and products, workplaces and environments. This chapter introduces the concept of DHM, its use of, and reliance on, anthropometric data from national populations and showcases two exemplar tools in SAMMIE and IPS IMMA. Case studies are presented that highlight the advantages DHM can bring to understanding the requirements of designing for the ageing population; covering designing for the ageing workforce, the exploration of transport accessibility and how users can generate representative manikin families to properly represent the diversity of people. DHM is demonstrated to be a powerful tool for practitioners aiming to understand and design for people, including older people within society.

Place, publisher, year, edition, pages
Singapore: Springer Nature, 2022, 1. p. 73-96
Series
Studies in Computational Intelligence, ISSN 1860-949X, E-ISSN 1860-9503 ; 1011
Keywords [en]
Digital human modelling, Ageing, Anthropometry, SAMMIE, IPS IMMA
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
User Centred Product Design; INF202 Virtual Ergonomics
Identifiers
URN: urn:nbn:se:his:diva-20944DOI: 10.1007/978-981-16-8488-3_5Scopus ID: 2-s2.0-85126180378ISBN: 978-981-16-8487-6 (print)ISBN: 978-981-16-8488-3 (electronic)ISBN: 978-981-16-8490-6 (print)OAI: oai:DiVA.org:his-20944DiVA, id: diva2:1641122
Part of project
Synergy Virtual Ergonomics (SVE), Knowledge FoundationADOPTIVE – Automated Design & Optimisation of Vehicle Ergonomics, Knowledge Foundation
Funder
Knowledge Foundation, 20180167Knowledge Foundation, 20200003
Note

First Online: 01 January 2022

Available from: 2022-02-28 Created: 2022-02-28 Last updated: 2022-04-25Bibliographically approved

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Brolin, ErikHögberg, Dan

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