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Lifting Activity Assessment Using Kinematic Features and Neural Networks

Lifting Activity Assessment Using Kinematic Features and Neural Networks

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f2c2bdd250684db5a2ac58819b2e83dc

Lifting Activity Assessment Using Kinematic Features and Neural Networks

About this item

Full title

Lifting Activity Assessment Using Kinematic Features and Neural Networks

Publisher

Basel: MDPI AG

Journal title

Applied sciences, 2020-03, Vol.10 (6), p.1989

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Work-related low-back disorders (WLBDs) can be caused by manual lifting tasks. Wearable devices used to monitor these tasks can be one possible way to assess the main risk factors for WLBDs. This study aims at analyzing the sensitivity of kinematic data to the risk level changes, and to define an instrument-based tool for risk classification by usi...

Alternative Titles

Full title

Lifting Activity Assessment Using Kinematic Features and Neural Networks

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_f2c2bdd250684db5a2ac58819b2e83dc

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f2c2bdd250684db5a2ac58819b2e83dc

Other Identifiers

ISSN

2076-3417

E-ISSN

2076-3417

DOI

10.3390/app10061989

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