Supervised Machine Learning Applied to Wearable Sensor Data Can Accurately Classify Functional Fitness Exercises Within a Continuous Workout

Supervised Machine Learning Applied to Wearable Sensor Data Can Accurately Classify Functional Fitness Exercises Within a Continuous Workout

Observing, classifying and assessing human movements is important in many applied fields, including human-computer interface, clinical assessment, activity monitoring and sports performance. The redundancy of options in planning and implementing motor programmes, the inter- and intra-individual vari...

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Bibliographic Details
Main Authors: Ezio Preatoni, Stefano Nodari, Nicola Francesco Lopomo
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-07-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
automatic classification
inertial measurement unit
sport
on-field testing
activity monitoring
machine learning
Online Access:https://www.frontiersin.org/article/10.3389/fbioe.2020.00664/full

Internet

https://www.frontiersin.org/article/10.3389/fbioe.2020.00664/full

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