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Assessment of manikin motions in IMMA
University of Skövde, School of Technology and Society. University of Skövde, The Virtual Systems Research Centre. Department of Product and Production Development, Chalmers University of Technology, Gothenburg, Sweden.ORCID iD: 0000-0002-0125-0832
Department of Product and Production Development, Chalmers University of Technology, Gothenburg, Sweden ; Innovatum AB, Trollhättan, Sweden.
University of Skövde, School of Technology and Society. University of Skövde, The Virtual Systems Research Centre.ORCID iD: 0000-0003-4596-3815
Department of Product and Production Development, Chalmers University of Technology, Gothenburg, Sweden ; Industrial Development, Scania CV, Södertälje, Sweden.ORCID iD: 0000-0002-7232-9353
2012 (English)In: Advances in applied human modeling and simulation / [ed] Vincent G. Duffy, Boca Raton: CRC Press, 2012, p. 235-244Chapter in book (Refereed)
Abstract [en]

When evaluating human-machine interaction in a virtual environment using Digital human modelling (DHM) it is important to ensure that the predicted motions lie within the range of behavioural diversity for different people within a population. This paper presents a study in which a comparison is made between motions predicted by the DHM tool IMMA (Intelligently Moving Manikin) and motions from real humans stored in a motion database. Results show similar motions but the predicted motions were in total statistically significantly different compared to the motions performed by real persons. The differences are most likely due to the balance function and joint constraints that the IMMA tool uses for predicting motions. Differences can also be due to other factors, aside of body size, such as age, gender or strength that affects the movement behaviour.

Place, publisher, year, edition, pages
Boca Raton: CRC Press, 2012. p. 235-244
Series
Advances in Human Factors and Ergonomics Series
Keywords [en]
Digital human modelling, Motion Prediction, Posture, Motion
National Category
Mechanical Engineering
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-6429Scopus ID: 2-s2.0-85055783144ISBN: 978-1-4398-7031-0 (print)ISBN: 978-1-4398-7032-7 (print)ISBN: 9780429061943 (electronic)OAI: oai:DiVA.org:his-6429DiVA, id: diva2:559982
Note

DOI: 10.1201/b12319-29

Available from: 2012-10-11 Created: 2012-10-02 Last updated: 2023-07-06Bibliographically approved

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ScopusAssessment of manikin motions in IMMAAdvances in Applied Human Modeling and Simulation

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Bertilsson, ErikHögberg, DanHanson, Lars

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