Högskolan i Skövde

his.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Simulation of hip joint location for occupant packaging design
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (User Centred Product Design)ORCID iD: 0000-0003-0746-9816
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (User Centred Product Design)ORCID iD: 0000-0002-0125-0832
University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment. University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (Interaction Lab)ORCID iD: 0000-0003-2254-1396
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: Proceedings of the 7th International Digital Human Modeling Symposium (DHM 2022), August 29–30, 2022, Iowa City, Iowa, USA, University of Iowa Press, 2022, Vol. 7, p. 1-12, article id 34Conference paper, Published paper (Refereed)
Abstract [en]

DHM tools have been widely used to analyze and improve vehicle occupant packaging and interior design in the automotive industry. However, these tools still present some limitations for this application. Accurately characterizing seated posture is crucial for ergonomic and safety evaluations. Current human posture and motion predictions in DHM tools are not accurate enough for the precise nature of vehicle interior design, typically requiring manual adjustments from DHM users to get more accurate driving and passenger simulations. Manual adjustment processes can be time-consuming, tedious, and subjective, easily causing non-repeatable simulation results. These limitations create the need to validate the simulation results with real-world studies, which increases the cost and time in the vehicle development process. Working with multiple Swedish automotive companies, we have begun to identify and specify the limitations of DHM tools relating to driver and passenger posture predictions given predefined vehicle geometry points/coordinates and specific human body parts relationships. Two general issues frame the core limitations. First, human kinematic models used in DHM tools are based on biomechanics models that do not provide definitions of these models in relation to vehicle geometries. Second, vehicle designers follow standards and regulations to obtain key human reference points in seated occupant locations. However, these reference points can fail to capture the range of human variability. This paper describes the relationship between a seated reference point and a biomechanical hip joint for driving simulations. The lack of standardized connection between occupant packaging guidelines and the biomechanical knowledge of humans creates a limitation for ergonomics designers and DHM users. We assess previous studies addressing hip joint estimation from different fields to establish the key aspects that might affect the relationship between standard vehicle geometry points and the hip joint. Then we suggest a procedure for standardizing points in human models within DHM tools. A better understanding of this problem may contribute to achieving closer to reality driving posture simulations and facilitating communication of ergonomics requirements to the design team within the product development process.

Place, publisher, year, edition, pages
University of Iowa Press, 2022. Vol. 7, p. 1-12, article id 34
Keywords [en]
hip joint, H-point, seated reference point, simulation, digital human modelling
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
User Centred Product Design; Interaction Lab (ILAB); VF-KDO
Identifiers
URN: urn:nbn:se:his:diva-21831DOI: 10.17077/dhm.31742ISBN: 978-0-9840378-4-1 (print)OAI: oai:DiVA.org:his-21831DiVA, id: diva2:1697453
Conference
7th International Digital Human Modeling Symposium (DHM 2022), August 29–30, 2022, Iowa City, Iowa, USA. The conference was followed by the Iowa Virtual Human Summit 2022.
Part of project
Virtual factories with knowledge-driven optimization (VF-KDO), Knowledge Foundation
Note

Copyright © 2022 the author(s) 

Available from: 2022-09-20 Created: 2022-09-20 Last updated: 2026-07-01Bibliographically approved
In thesis
1. Human Posture and Motion Prediction for Automotive Ergonomics Design: Enhancing Functionality and Accuracy in Digital Human Modelling Tools
Open this publication in new window or tab >>Human Posture and Motion Prediction for Automotive Ergonomics Design: Enhancing Functionality and Accuracy in Digital Human Modelling Tools
2025 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Product development (PD) increasingly relies on digital tools to support the process of exploring, generating, and evaluating product design proposals. Ergonomics plays a critical role in ensuring that product designs align with human capabilities and needs. Digital human modelling (DHM) tools can simulate human-product interactions and assess ergonomics virtually, before physical prototypes exist. In vehicle design, DHM tools are frequently applied in occupant packaging activities, supporting the design of vehicle interiors that accommodate a diverse user population. Still, although commonly used in industry, DHM tools have various limitations. One challenge is their limited ability to predict human postures and motions with sufficient accuracy. This inaccuracy is the result of current simulation procedures and the prediction models used. To compensate for this, DHM tool users often require significant manual adjustments to produce realistic postures, making the process time-consuming, subjective, and difficult to reproduce. Moreover, the simulation procedures themselves can be complex and inefficient, reducing their accessibility and usefulness in iterative design work. These limitations often lead to costly and time-consuming validation activities involving real users.

This thesis addresses these challenges by developing and evaluating methods and models to enhance the functionality and accuracy of posture and motion predictions in DHM tools. The main contributions are: (1) identifying current practices and challenges in industry when applying DHM tools for ergonomics in PD, (2) developing methods that increase the functionality of DHM tools through improved simulations methods, and (3) developing and evaluating posture and motion prediction models that support more reliable and efficient virtual ergonomics assessments. Collectively, the findings support a more proactive, systematic, and human-centred approach to ergonomics in PD processes.

Abstract [sv]

Produktutveckling förlitar sig alltmer på digitala verktyg för att stödja processen med att utforska, generera och utvärdera produktdesignförslag. Ergonomi spelar en avgörande roll för att säkerställa att produktdesignen är anpassad till människans förmågor och behov. Digitala verktyg för mänsklig modellering (digital human modelling - DHM) kan simulera interaktioner mellan människa och produkt och bedöma ergonomin virtuellt, innan det finns fysiska prototyper. Inom fordonsdesign används DHM-verktyg ofta i aktiviteter som rör förar- och passagerarergonomi, för att stödja utformningen av fordonsinteriörer som passar en mångfald av användare. Dock, även om DHM-verktyg ofta används i industrin, så finns begränsningar av olika slag. En begränsning är DHM-verktygens förmåga att förutsäga mänskliga kroppsställningar och -rörelser med tillräcklig noggrannhet. Denna brist på noggrannhet beror på de nuvarande simuleringsförfarandena och de prediktionsmodeller som används. För att kompensera för detta behöver användare av DHM-verktyg ofta göra betydande manuella justeringar för att åstadkomma realistiska kroppsställningar, vilket gör processen tidskrävande, subjektiv och svår att reproducera. Dessutom kan simuleringsförfarandena i sig vara komplexa och ineffektiva, vilket minskar deras tillgänglighet och användbarhet i iterativt designarbete. Dessa begränsningar leder ofta till kostsamma och tidskrävande valideringsaktiviteter som involverar verkliga användare.

Avhandlingen behandlar dessa utmaningar genom att utveckla och utvärdera metoder och modeller för att förbättra funktionaliteten och noggrannheten av prediktioner av kroppsställningar och -rörelser i DHM-verktyg. De viktigaste bidragen är: (1) identifiering av rådande praktik och utmaningar i industrin vid användning av DHM-verktyg för ergonomi i produktutveckling, (2) utveckling av metoder som ökar funktionaliteten hos DHM-verktyg genom förbättrade simuleringsmetoder, och (3) utveckling och utvärdering av prediktionsmodeller för kroppsställningar och -rörelser som stöder mer tillförlitliga och effektiva virtuella ergonomiska bedömningar. Sammantaget stöder resultaten ett mer proaktivt, systematiskt och människocentrerat förhållningssätt för beaktande av ergonomi i produktutvecklingsprocesser.

Place, publisher, year, edition, pages
Skövde: University of Skövde, 2025. p. xi, 70 [196]
Series
Dissertation Series ; 65
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
User Centred Product Design
Identifiers
urn:nbn:se:his:diva-25793 (URN)978-91-989080-3-9 (ISBN)978-91-989080-4-6 (ISBN)
Public defence
2025-10-10, ASSAR Industrial Innovation Arena, Kavelbrovägen 2b, Skövde, 09:15 (English)
Opponent
Supervisors
Note

Paper D som submitted:

Perez Luque, E., Brolin, E., Nurbo, P., Lamb, M. & Högberg, D. (2025). Comparison of Driving Posture and Position Prediction Methods for Occupant Packaging Design. Journal Paper. Under Review Process in the International Journal of Human Factors and Ergonomics. [Titel som publicerat: A case study of digital human modelling assisted occupant packaging design: comparing driving posture and position prediction methods]

Available from: 2025-09-04 Created: 2025-09-03 Last updated: 2026-05-18Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textProceedings

Authority records

Perez Luque, EstelaBrolin, ErikLamb, MauriceHögberg, Dan

Search in DiVA

By author/editor
Perez Luque, EstelaBrolin, ErikLamb, MauriceHögberg, Dan
By organisation
School of Engineering ScienceVirtual Engineering Research EnvironmentSchool of InformaticsInformatics Research Environment
Production Engineering, Human Work Science and Ergonomics

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 843 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf