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Use of Machine Learning and Wearable Sensors to Predict Energetics and Kinematics of Cutting Maneuve...

Use of Machine Learning and Wearable Sensors to Predict Energetics and Kinematics of Cutting Maneuve...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_bde0a464d63246dbbf7af4315b09b7bf

Use of Machine Learning and Wearable Sensors to Predict Energetics and Kinematics of Cutting Maneuvers

About this item

Full title

Use of Machine Learning and Wearable Sensors to Predict Energetics and Kinematics of Cutting Maneuvers

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2019-07, Vol.19 (14), p.3094

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Changes of directions and cutting maneuvers, including 180-degree turns, are common locomotor actions in team sports, implying high mechanical load. While the mechanics and neurophysiology of turns have been extensively studied in laboratory conditions, modern inertial measurement units allow us to monitor athletes directly on the field. In this st...

Alternative Titles

Full title

Use of Machine Learning and Wearable Sensors to Predict Energetics and Kinematics of Cutting Maneuvers

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_bde0a464d63246dbbf7af4315b09b7bf

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_bde0a464d63246dbbf7af4315b09b7bf

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s19143094

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