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...

Full description

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

Internet

http://hdl.handle.net/20.500.11937/82990

Similar Items