Forward dynamics computational modelling of a cyclist fall with the inclusion of protective response using deep learning-based human pose estimation-Reference-Cited by-同舟云学术

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Forward dynamics computational modelling of a cyclist fall with the inclusion of protective response using deep learning-based human pose estimation

Published:2024-01 Issue: Volume:163 Page:111959
ISSN:0021-9290
Container-title:Journal of Biomechanics
language:en
Short-container-title:Journal of Biomechanics

Author:

Gildea Kevin^ORCID,Hall Daniel,Cherry Christopher R.,Simms Ciaran

Publisher

Elsevier BV

Reference83 articles.

1. Development of a multibody 50th percentile model for euro ncap’s pedestrian test protocol;Asensio-Gil,2022

2. A review of cyclist head injury, impact characteristics and the implications for helmet assessment methods;Baker;Ann. Biomed. Eng.,2023

3. Crash characteristics of on-road single-bicycle crashes: An under-recognised problem;Beck;Inj. Prev.,2019

4. Simple online and realtime tracking;Bewley,2016

5. Head impact conditions in the case of cyclist falls;Bourdet;Proc. Inst. Mech. Eng. P,2012

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Inherent uncertainty in pedestrian collision reconstruction: How evidence variability affects head kinematics and injury prediction;Accident Analysis & Prevention;2024-12

2. Cyclist safety around trams: A market survey;Accident Analysis & Prevention;2024-09

3. Inherent Uncertainty in Pedestrian Collision Reconstruction: How Evidence Variability Affects Head Injury Kinematics and Injury Prediction;SSRN Electronic Journal;2024

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