Spatial Data Correlation: An interactive 3D visualisation tool for correlating the motion capture data streams from different devices

Abstract

We have developed an interactive, three-dimensional visualisation that plots individual motion capture data streams so they can be visually inspected concurrently to yield a unified, multimodal view of the complex problem. The primary objective in this study is to facilitate analysis of groups of putatively correlated time series with large numbers of data points. Our unique contribution is that we have developed a three-dimensional data visualisation tool with fly-through data capabilities, in order to distinguish false correlations from genuine correlations.

Contributors

Carina E.I. Westling

Leon Barker

Aoife Healy

Robert Needham

Harry J. Witchel

Nachiappan Chockalingam

Conference

Publication date: July 2013

Publication date (Print): July 2013

Pages: 69-74

Affiliations

School of Media and Film

University of Sussex

School of Informatics

University of Sussex

CSHER

Staffordshire University

Brighton & Sussex Medical School

BN1 3PX

Article

DOI: 10.14236/ewic/EVA2013.17

Copyright statement: © Carina E.I. Westling et al. Published by BCS Learning and Development Ltd. Electronic Visualisation and the Arts (EVA 2013), London, UK

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: Electronic Visualisation and the Arts (EVA 2013)

Conference acronym: EVA

Conference number:

Conference location: London, UK

Conference date: 29 - 31 July 2013

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: Electronic Visualisation and the Arts (EVA 2013)

Product

Product Information: 1477-9358BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/EVA2013.17

Self URI (journal page): https://ewic.bcs.org/

Categories

Series title: Electronic Workshops in Computing