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Deep learning methodology for predicting time history of head angular kinematics from simulated crash videos

Abstract Head kinematics information is important as it is used to measure brain injury risk. Currently, head kinematics are measured using wearable devices or instrumentation mounted on the head. This paper evaluates the deep learning approach in predicting time history of head angular kinematics d...

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Detalhes bibliográficos
Main Authors: Vikas Hasija, Erik G. Takhounts
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Portfolio 2022-04-01
Colecção:Scientific Reports
Acesso em linha:https://doi.org/10.1038/s41598-022-10480-w
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