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 (13.06.2021-18.06.2021)
doi: 10.26083/tuprints-00024604
Conference or Workshop Item, Secondary publication, Postprint
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Item Type: | Conference or Workshop Item |
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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: | 13.06.2021-18.06.2021 |
DOI: | 10.26083/tuprints-00024604 |
Corresponding Links: | |
Origin: | Secondary publication service |
Abstract: | 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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