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dc.contributor.authorBurger, Birgitta
dc.contributor.authorToiviainen, Petri
dc.contributor.editorBresin, Roberto
dc.date.accessioned2014-01-21T09:45:48Z
dc.date.available2014-01-21T09:45:48Z
dc.date.issued2013
dc.identifier.citationBurger, B., & Toiviainen, P. (2013). MoCap Toolbox - A Matlab toolbox for computational analysis of movement data. In R. Bresin (Ed.), <i>Proceedings of the Sound and Music Computing Conference 2013, SMC 2013, Logos Verlag Berlin, Stockholm, Sweden</i> (pp. 172-178). Logos Verlag Berlin. Proceedings of the Sound and Music Computing Conferences. <a href="http://smcnetwork.org/system/files/MOCAP%20TOOLBOX%20%E2%80%93%20A%20MATLAB%20TOOLBOX%20FOR%20COMPUTATIONAL%20ANALYSIS%20OF%20MOVEMENT%20DATA.pdf" target="_blank">http://smcnetwork.org/system/files/MOCAP%20TOOLBOX%20%E2%80%93%20A%20MATLAB%20TOOLBOX%20FOR%20COMPUTATIONAL%20ANALYSIS%20OF%20MOVEMENT%20DATA.pdf</a>
dc.identifier.otherCONVID_22971400
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/42837
dc.description.abstractThe MoCap Toolbox is a set of functions written in Matlab for analyzing and visualizing motion capture data. It is aimed at investigating music-related movement, but can be beneficial for other research areas as well. Since the toolbox code is available as open source, users can freely adapt the functions according to their needs. Users can also make use of the additional functionality that Matlab offers, such as other toolboxes, to further analyze the features extracted with the MoCap Toolbox within the same environment. This paper describes the structure of the toolbox and its data representations, and gives an introduction to the use of the toolbox for research and analysis purposes. The examples cover basic visualization and analysis approaches, such as general data handling, creating stick-figure images and animations, kinematic and kinetic analysis, and performing Principal Component Analysis (PCA) on movement data, from which a complexity-related movement feature is derived.fi
dc.format.extent806
dc.language.isoeng
dc.publisherLogos Verlag Berlin
dc.relation.ispartofProceedings of the Sound and Music Computing Conference 2013, SMC 2013, Logos Verlag Berlin, Stockholm, Sweden
dc.relation.ispartofseriesProceedings of the Sound and Music Computing Conferences
dc.relation.urihttp://smcnetwork.org/system/files/MOCAP%20TOOLBOX%20%E2%80%93%20A%20MATLAB%20TOOLBOX%20FOR%20COMPUTATIONAL%20ANALYSIS%20OF%20MOVEMENT%20DATA.pdf
dc.subject.othermocap
dc.subject.othermocap analysis
dc.titleMoCap Toolbox - A Matlab toolbox for computational analysis of movement data
dc.typeconference paper
dc.identifier.urnURN:NBN:fi:jyu-201401211091
dc.contributor.laitosMusiikin laitosfi
dc.contributor.laitosDepartment of Musicen
dc.contributor.oppiaineMusiikkitiedefi
dc.contributor.oppiaineMusicologyen
jyx.tutka.ksnameProceedings of the Sound and Music Computing Conference 2013, SMC 2013, Logos Verlag Berlin, Stockholm, Sweden
dc.type.urihttp://purl.org/eprint/type/ConferencePaper
dc.date.updated2014-01-21T04:30:08Z
dc.relation.isbn978-3-8325-3472-1
dc.type.coarhttp://purl.org/coar/resource_type/c_5794
dc.description.reviewstatuspeerReviewed
dc.format.pagerange172-178
dc.relation.issn2518-3672
dc.type.versionpublishedVersion
dc.rights.copyright© 2013 Burger et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dc.rights.accesslevelopenAccessfi
dc.type.publicationconferenceObject
dc.relation.conferenceSound & Music Computing Conference
dc.subject.ysoliikkeenkaappaus
dc.subject.ysoMATLAB
jyx.subject.urihttp://www.yso.fi/onto/yso/p27199
jyx.subject.urihttp://www.yso.fi/onto/yso/p12929
dc.rights.urlhttps://creativecommons.org/licenses/by/3.0/
dc.type.okmA4


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© 2013 Burger et al. This is an open-access article distributed
under the terms of the Creative Commons Attribution License 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Ellei muuten mainita, aineiston lisenssi on © 2013 Burger et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.