An Exploration of Machine-Learning Estimation of Ground Reaction Force from Wearable Sensor Data

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: Danica Hendry, Ryan Leadbetter, Kristoffer McKee, Luke Hopper, Catherine Wild, Peter O’Sullivan, Leon Straker, Amity Campbell
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Sensors
Subjects:
machine learning
inertial sensor
ballet
ground reaction force
Online Access:https://www.mdpi.com/1424-8220/20/3/740

Internet

https://www.mdpi.com/1424-8220/20/3/740

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