Predicting ground and joint kinetics from wearable sensor accelerations via deep learning

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Abstract Summary
There is a gap between the understanding of the mechanisms of sporting injury and the ability to monitor these risk parameters during a game. A wearable solution in place of captive laboratory biomechanical instrumentation would be a breakthrough for ecological validity and facilitate on-field monitoring of athlete performance and safety.
Submission ID :
UCB388
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