MoCap Toolbox - A Matlab toolbox for computational analysis of movement data

Abstract
The 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.
Main Authors
Format
Conferences Conference paper
Published
2013
Series
Subjects
Publication in research information system
Publisher
Logos Verlag Berlin
Original source
http://smcnetwork.org/system/files/MOCAP%20TOOLBOX%20%E2%80%93%20A%20MATLAB%20TOOLBOX%20FOR%20COMPUTATIONAL%20ANALYSIS%20OF%20MOVEMENT%20DATA.pdf
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-201401211091Käytä tätä linkitykseen.
Parent publication ISBN
978-3-8325-3472-1
Review status
Peer reviewed
ISSN
2518-3672
Conference
Sound & Music Computing Conference
Language
English
Published in
Proceedings of the Sound and Music Computing Conferences
Is part of publication
Proceedings of the Sound and Music Computing Conference 2013, SMC 2013, Logos Verlag Berlin, Stockholm, Sweden
Citation
License
CC BY 3.0Open Access
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.

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