Abstract
The goal of this paper is to contribute to the accurate prediction of human body motion by proposing a novel head-neck model for dynamic driving scenarios with complex vehicle motions. While automated vehicles are considered a potential solution to several transportation issues, there are still significant challenges that need to be addressed, including fundamental questions regarding motion comfort and postural stability. Existing standards fail to accurately describe motion comfort, and current head-neck models have limitations, such as their inability to accurately capture human head responses to dynamic perturbations and lack of adaptability to different perturbations, amplitudes, and individual characteristics. To address these challenges, the authors propose a 3D double inverted pendulum model (DIPM) with a total of 6 degrees of freedom (DoF) as an approximation of head-neck system. The proposed model uses Model Predictive Control (MPC) to derive optimal control inputs for head-neck stabilization. The study validates the proposed model against experimental data of anterior-posterior seat translation and rotation from the literature. The results indicate that the model fitted the experimental data with a variance accounted for 82.80 % in translation and 73.15 % in rotation (pitch). The proposed model paves the path for the accurate assessment of occupants’ postural stability in automated vehicles.
Original language | English |
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Title of host publication | Advances in Digital Human Modeling |
Subtitle of host publication | Proceedings of the 8th International Digital Human Modeling Symposium |
Editors | Sofia Scataglini, Wim Saeys, Steven Truijen, Gregor Harih |
Publisher | Springer |
Pages | 177-185 |
ISBN (Electronic) | 978-3-031-37848-5 |
ISBN (Print) | 978-3-031-37847-8 |
DOIs | |
Publication status | Published - 2023 |
Event | 8th International Digital Human Modeling Symposium - Antwerp, Belgium Duration: 4 Sept 2023 → 6 Sept 2023 |
Publication series
Name | Lecture Notes in Networks and Systems |
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Volume | 744 LNNS |
ISSN (Print) | 2367-3370 |
ISSN (Electronic) | 2367-3389 |
Conference
Conference | 8th International Digital Human Modeling Symposium |
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Country/Territory | Belgium |
City | Antwerp |
Period | 4/09/23 → 6/09/23 |
Bibliographical note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-careOtherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Keywords
- automated vehicles
- body modeling
- dynamic driving
- Head-neck
- postural stabilization