Prediction of Head Injury Criteria in Pedestrian Crashes Using Frequency Response Function-Based Deep Neural Networks

Prediction of Head Injury Criteria in Pedestrian Crashes Using Frequency Response Function-Based Deep Neural Networks

This study aims to develop a deep neural network model capable of predicting the Head Injury Criterion (HIC), which is traditionally obtained through time-consuming and costly headform impact tests using dynamic stiffness measurements. The correlation between dynamic stiffness and HIC was initially...

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Bibliographic Details
Main Authors: Seon-Hong Kim, Seounghyun Lee, Taewung Kim, Je-Heon Han
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Deep neural networks
dynamic stiffness
headform impact test
head injury criteria
Online Access:https://ieeexplore.ieee.org/document/11034971/
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https://ieeexplore.ieee.org/document/11034971/

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