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Driving Posture Assessment: A New Approach

Gao, Yanlong ; Kaiser, Ralf ; Wagner, Peer-Oliver ; Abendroth, Bettina ; Paternoster, Susanne (2023)
Driving Posture Assessment: A New Approach.
21st Congress of the International Ergonomics Association (IEA 2021). online (13.06. - 18.06.2021)
doi: 10.26083/tuprints-00024604
Conference or Workshop Item, Secondary publication, Postprint

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Item Type: Conference or Workshop Item
Type of entry: Secondary publication
Title: Driving Posture Assessment: A New Approach
Language: English
Date: 17 October 2023
Place of Publication: Darmstadt
Year of primary publication: 2021
Place of primary publication: Cham
Publisher: Springer
Book Title: Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021). Volume III: Sector Based Ergonomics
Series: Lecture Notes in Networks and Systems
Series Volume: 221
Collation: 8 Seiten
Event Title: 21st Congress of the International Ergonomics Association (IEA 2021)
Event Location: online
Event Dates: 13.06. - 18.06.2021
DOI: 10.26083/tuprints-00024604
Corresponding Links:
Origin: Secondary publication service

In this paper, a new theoretical model for driving posture assessment is proposed. Other than many models that focused on sitting (dis-)comfort evaluation, our model incorporated both sitting and driving activities such as steering and pedal control. By regarding both subjective and objective posture evaluation methods, we summarized several important findings from literature in this field and extracted three aspects for driving posture evaluation, i.e. accommodating various sitting strategies, reducing physical strain, and allowing optimum physical performance of drivers. Major impact factors were selected accordingly to determine the essential parameters for a more holistic evaluation process. These could be used for further development of digital human modeling software like RAMSIS. This new model would potentially allow a more effective and ergonomic occupant packaging.

Uncontrolled Keywords: Driving Posture Assessment, Occupant Packaging, Digital Human Modeling, Biomechanics, RAMSIS
Status: Postprint
URN: urn:nbn:de:tuda-tuprints-246042
Classification DDC: 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering
Divisions: 16 Department of Mechanical Engineering > Ergonomics (IAD)
Date Deposited: 17 Oct 2023 09:42
Last Modified: 23 Oct 2023 10:46
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/24604
PPN: 512624674
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