Can Machine Learning Predict Running Kinematics Based on Upper Trunk GPS-Based IMU Acceleration? A Novel Method of Conducting Biomechanical Analysis in the Field Using Artificial Neural Networks

Can Machine Learning Predict Running Kinematics Based on Upper Trunk GPS-Based IMU Acceleration? A Novel Method of Conducting Biomechanical Analysis in the Field Using Artificial Neural Networks

This study aimed to investigate whether running kinematics can be accurately estimated through an artificial neural network (ANN) model containing GPS-based accelerometer variables and anthropometric data. Thirteen male participants with extensive running experience completed treadmill running trial...

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Bibliographic Details
Main Authors: Michael Lawson, Roozbeh Naemi, Robert A. Needham, Nachiappan Chockalingam
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Applied Sciences
Subjects:
artificial intelligence
accelerometer/s
GPS
IMU
kinematics
Online Access:https://www.mdpi.com/2076-3417/14/5/1730

Internet

https://www.mdpi.com/2076-3417/14/5/1730

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