Isolating the Unique and Generic Movement Characteristics of Highly Trained Runners

Isolating the Unique and Generic Movement Characteristics of Highly Trained Runners

Human movement patterns were shown to be as unique to individuals as their fingerprints. However, some movement characteristics are more important than other characteristics for machine learning algorithms to distinguish between individuals. Here, we explored the idea that movement patterns contain...

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Bibliographic Details
Main Authors: Fabian Hoitz, Laura Fraeulin, Vinzenz von Tscharner, Daniela Ohlendorf, Benno M. Nigg, Christian Maurer-Grubinger
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Sensors
Subjects:
running
triathlon
movement pattern
human recognition
artificial neural network
layer-wise relevance propagation
Online Access:https://www.mdpi.com/1424-8220/21/21/7145

Internet

https://www.mdpi.com/1424-8220/21/21/7145

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