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Age Differences in Occupant Motion during Simulated In-Vehicle Swerving Maneuvers
Journal article   Open access   Peer reviewed

Age Differences in Occupant Motion during Simulated In-Vehicle Swerving Maneuvers

Valentina Graci, Ethan Douglas, Thomas Seacrist, Jason Kerrigan, Julie Mansfield, John Bolte, Rini Sherony, Jason Hallman and Kristy Arbogast
International journal of environmental research and public health, v 17(6), p1834
12 Mar 2020
PMID: 32178285
url
https://doi.org/10.3390/ijerph17061834View
Published, Version of Record (VoR) Open

Abstract

Environmental Sciences Environmental Sciences & Ecology Life Sciences & Biomedicine Public, Environmental & Occupational Health Science & Technology
Background: With active safety and automated vehicle features becoming more available, unanticipated pre-crash vehicle maneuvers, such as evasive swerving, may become more common, and they may influence the resulting effectiveness of occupant restraints, and consequently may affect injury risks associated with crashes. Therefore, the objective of this study was to quantify the influence of age on key occupant kinematic, kinetic, and muscular responses during evasive swerving in on-road testing. Methods: Seat belt-restrained children (10-12 years old), teens (13-17 years old), and adults (21-33 years old) experienced two evasive swerving maneuvers in a recent model sedan on a test track. Kinematics, muscle activity, and seat belt load distribution were determined and analyzed. Results: Compared to teens and adults, children showed greater head and trunk motion (p < 0.03), but similar muscle activation in the into-the-belt direction of swerving. In the out-of-the-belt direction, children showed head and trunk motion more similar to teens and adults (p < 0.02), but with greater muscle activation. Conclusions: Children showed different neuromuscular control of head and trunk motion compared to older occupants. This study highlights differences in the relationship between kinematics and muscle activation across age groups, and provides new validation data for active human body models across the age range.

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5 citations in Scopus

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Collaboration types
Domestic collaboration
Web of Science research areas
Environmental Sciences
Public, Environmental & Occupational Health
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