An exploration of machine‐learning estimation of ground reaction force from wearable sensor data

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An exploration of machine‐learning estimation of ground reaction force from wearable sensor data

This study aimed to develop a wearable sensor system, using machine‐learning models, capable of accurately estimating peak ground reaction force (GRF) during ballet jumps in the field. Female dancers (n = 30) performed a series of bilateral and unilateral ballet jumps. Dancers wore six ActiGraph Lin...

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Bibliographic Details
Main Authors:	Hendry, Danica, Leadbetter, Ryan, McKee, Kristoffer, Hopper, L., Wild, Catherine, O’Sullivan, Peter, Straker, Leon, Campbell, Amity
Format:	Journal Article
Language:	English
Published:	MDPI 2020
Subjects:	Science & Technology Physical Sciences Technology Chemistry, Analytical Engineering, Electrical & Electronic Instruments & Instrumentation Chemistry Engineering machine learning inertial sensor ballet ground reaction force LANDING BIOMECHANICS DANCERS MICROSENSORS KINEMATICS FATIGUE EVENTS
Online Access:	http://hdl.handle.net/20.500.11937/82990

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