Foot Strike Angle Prediction and Pattern Classification Using LoadsolTM Wearable Sensors: A Comparison of Machine Learning Techniques

Foot Strike Angle Prediction and Pattern Classification Using LoadsolTM Wearable Sensors: A Comparison of Machine Learning Techniques

The foot strike pattern performed during running is an important variable for runners, performance practitioners, and industry specialists. Versatile, wearable sensors may provide foot strike information while encouraging the collection of diverse information during ecological running. The purpose o...

Full description

Bibliographic Details
Main Authors: Stephanie R. Moore, Christina Kranzinger, Julian Fritz, Thomas Stӧggl, Josef Krӧll, Hermann Schwameder
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Sensors
Subjects:
decision tree
human running
random forest
regression
wearable devices
Online Access:https://www.mdpi.com/1424-8220/20/23/6737

Internet

https://www.mdpi.com/1424-8220/20/23/6737

Similar Items