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Accelerating Head Injury Prediction from Kinematic Data Using Machine Learning

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posted on 2025-11-26, 01:17 authored by Jing Yi Heng
<p dir="ltr">This research focuses on improving how we detect and prevent head injuries that occur during activities such as sports, driving, and military training. Current methods for studying these injuries rely on physical testing and complex computer models, which are slow and costly. This research develops a new approach using computer learning to quickly predict how the brain is affected by impacts. The findings can help design safer helmets, improve on-field injury detection, and reduce long-term health risks from repeated head trauma, leading to better protection and safety for people in high-risk environments.</p>

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Thesis type

  • Thesis (PhD)

Thesis note

Thesis submitted for the Degree of Doctor of Philosophy, Swinburne University of Technology, 2025.

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Copyright © 2025 Jing Yi Heng.

Supervisors

Kwong Ming Tse

Language

eng

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