Machine learning-based prediction of head impact dynamics using an instrumented cycling helmet
Real-time head impact data are crucial for advancing cyclist safety; however, current helmet-mounted devices are frequently limited by substantial measurement errors. This research explores a machine learning (ML) approach to enhance the interpretability of sensor data, with the aim of classifying i...
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| Main Authors: | , , , , , |
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| Format: | Default Article |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/30305029.v1 |
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