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...

詳細記述

書誌詳細

出版年:	Applied Sciences
主要な著者:	Michael Lawson, Roozbeh Naemi, Robert A. Needham, Nachiappan Chockalingam
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2024-02-01
主題:	artificial intelligence accelerometer/s GPS IMU kinematics
オンライン･アクセス:	https://www.mdpi.com/2076-3417/14/5/1730