Inertial sensor, 3D and 2D assessment of stroke phases in freestyle swimming

James B Lee; Brendan J Burkett; D V Thiel; D A James

doi:10.1016/j.proeng.2011.05.065

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Inertial sensor, 3D and 2D assessment of stroke phases in freestyle swimming

Journal article

Open access

Peer reviewed

Inertial sensor, 3D and 2D assessment of stroke phases in freestyle swimming

James B Lee, Brendan J Burkett, D V Thiel and D A James

Procedia Engineering, Vol.13, pp.148-153

Asia-Pacific Congress on Sports Technology (APCST), 5th (Melbourne, Australia, 28-Aug-2011–31-Aug-2011)

2011

DOI: https://doi.org/10.1016/j.proeng.2011.05.065

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Abstract

swimming

armstroke

inertial sensors

athlete assessment

Assessment of human movement kinetics and kinematics use various methods of capture. Typical systems used are 2D or 3D camera systems. These laboratory-based simulations have accurately estimated movement variables. While these systems have shown accuracy in assessment, there are inherent problems with capture capabilities including: simulation of actions, and limitation of the camera system's capture range. Therefore data capture in a realistic environment is usually quite inhibitory. Microtechnology has been shown to address these restrictive issues of assessing human movement. The use of inertial sensors for land and water based biomechanical applications has been steadily gaining popularity. Traditional systems are severely hampered in aquatic environments, due to problems imposed by liquids that are not present in gaseous surroundings. These limitations do not intrude on inertial sensor captured data. Prior to a water based research, inertial sensor technology would require validation. The aim of this study was to validate an inertial system to measure temporal kinematics of a freestyle armstroke on a swimming bench. Six participants simulated freestyle swimming action. Variables measured were components of the stroke phase. A triaxial inertial sensor was positioned on the dorsal side and at the distal end of the forearm. Validation was carried out with comparisons against 2D video capture and a 3D infrared camera system. For statistical analysis, a Pearson's correlation, typical error of estimate, and mean bias were applied. Very large correlations, along with minimal error and mean bias indicate that inertial sensors as a viable option for swimming armstroke assessment.

Details

Title: Inertial sensor, 3D and 2D assessment of stroke phases in freestyle swimming
Authors: James B Lee (Author) - Griffith University
Brendan J Burkett (Author) - University of the Sunshine Coast - Faculty of Science, Health and Education
D V Thiel (Author) - Griffith University
D A James (Author) - Griffith University
Publication details: Procedia Engineering, Vol.13, pp.148-153
Conference details: Asia-Pacific Congress on Sports Technology (APCST), 5th (Melbourne, Australia, 28-Aug-2011–31-Aug-2011)
Publisher: Elsevier BV
Date published: 2011
DOI: 10.1016/j.proeng.2011.05.065
ISSN: 1877-7058
Organisation Unit: Faculty of Science, Health, Education and Engineering; University of the Sunshine Coast, Queensland; School of Health - Sports & Exercise Science
Language: English
Record Identifier: 99449790502621
Output Type: Journal article

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Collaboration types: Domestic collaboration
Web Of Science research areas: Engineering, Multidisciplinary; Sport Sciences