Concepedia

Accurate Impact Loading Rate Estimation During Running via a Subject-Independent Convolutional Neural Network Model and Optimal IMU Placement

Tian Tan, Zachary A. Strout, Peter B. Shull

IEEE Journal of Biomedical and Health Informatics · 2020 · 38 citations · 40 references

DOI

Abstract

This could enable runners to more accurately assess impact loading rates and potentially provide insights into running-related injury risk and prevention.

References

40

Understanding the difficulty of training deep feedforward neural networks

Xavier Glorot, Yoshua Bengio · 2010 · 12.6K citations

On the importance of initialization and momentum in deep learning

Ilya Sutskever, James Martens, George E. Dahl et al. · 2013 · 3.5K citations

Foot strike patterns and collision forces in habitually barefoot versus shod runners

Daniel E. Lieberman, Madhusudhan Venkadesan, William A. Werbel et al. · Nature · 2010 · 1.4K citations

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Pruning Convolutional Neural Networks for Resource Efficient Inference

Pavlo Molchanov, Stephen Tyree, Tero Karras et al. · arXiv (Cornell University) · 2016 · 1.2K citations · Full text

, , +15

Ground reaction forces in distance running

Peter R. Cavanagh, Mario A. Lafortune · Journal of Biomechanics · 1980 · 1.2K citations

, , +7