Automatic Classification of Squat Posture Using Inertial Sensors: Deep Learning Approach
Automatic Classification of Squat Posture Using Inertial Sensors: Deep Learning Approach
About this item
Full title
Author / Creator
Publisher
Switzerland: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Switzerland: MDPI AG
Subjects
More information
Scope and Contents
Contents
Without expert coaching, inexperienced exercisers performing core exercises, such as squats, are subject to an increased risk of spinal or knee injuries. Although it is theoretically possible to measure the kinematics of body segments and classify exercise forms with wearable sensors and algorithms, the current implementations are not sufficiently...
Alternative Titles
Full title
Automatic Classification of Squat Posture Using Inertial Sensors: Deep Learning Approach
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_40e515e025d04a308098c5ac49eb3ca3
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_40e515e025d04a308098c5ac49eb3ca3
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s20020361
