Automatic Recognition of Motor Skills in Triathlon: A Novel Tool for Measuring Movement Cadence and Cycling Tasks

Automatic Recognition of Motor Skills in Triathlon: A Novel Tool for Measuring Movement Cadence and Cycling Tasks

<b>Background/Objectives</b>: The purpose of this research was to create a peak detection algorithm and machine learning model for use in triathlon. The algorithm and model aimed to automatically measure movement cadence in all three disciplines of a triathlon using data from a single in...

Full description

Saved in:
Bibliographic Details
Main Authors: Stuart M. Chesher, Carlo Martinotti, Dale W. Chapman, Simon M. Rosalie, Paula C. Charlton, Kevin J. Netto
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Journal of Functional Morphology and Kinesiology
Subjects:
machine learning
peak detection
cycling task
cadence
motor performance
inertial measurement
Online Access:https://www.mdpi.com/2411-5142/9/4/269
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2411-5142/9/4/269

Similar Items