You are not logged in.
Openly accessible

Accelerometer validity to measure and classify movement in team sports

Wundersitz, Daniel 2015, Accelerometer validity to measure and classify movement in team sports, PhD thesis, School of Exercise and Nutrition Sciences, Deakin Univeristy.

Attached Files
Name Description MIMEType Size Downloads
wundersitz-accelerometervalidity-2015A.pdf Connect to thesis application/pdf 15.75MB 217

Title Accelerometer validity to measure and classify movement in team sports
Author Wundersitz, Daniel
Institution Deakin Univeristy
School School of Exercise and Nutrition Sciences
Faculty Faculty of Health
Degree type Research doctorate
Degree name PhD
Thesis advisor Netto, Kevin
Gastin, PaulORCID iD for Gastin, Paul orcid.org/0000-0003-2320-7875
Date submitted 2015-10
Keyword(s) accelerometer accuracy
athletic performance
peak accelerations
team sports
Summary  In team sports accelerometers are used to monitor the physical demands of athletic performance. Daniel's research showed that accelerometer accuracy can be improved through filtering. He also showed that the accelerometer can be used to automatically classify the type of movement performed. Further improving the understanding of team sports.
Language eng
Field of Research 110699 Human Movement and Sports Science not elsewhere classified
Socio Economic Objective 950102 Organised Sports
Description of original xxi, 223 pages : illustrations, tables, graphs
Copyright notice ┬ęThe Author. All Rights Reserved
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30082754

Document type: Thesis
Collections: Higher degree theses (full text)
Open Access Collection
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 85 Abstract Views, 221 File Downloads  -  Detailed Statistics
Created: Tue, 12 Apr 2016, 11:01:44 EST by Kate Percival

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.