loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Emanuel Sousa ; Tiago Malheiro ; Estela Bicho ; Wolfram Erlhagen ; Jorge Santos and Alfredo Pereira

Affiliation: University of Minho, Portugal

ISBN: 978-989-758-175-5

Keyword(s): Multivariate Time Series, Visualization, Cognition.

Related Ontology Subjects/Areas/Topics: Abstract Data Visualization ; Computer Vision, Visualization and Computer Graphics ; General Data Visualization ; Interactive Visual Interfaces for Visualization ; Interface and Interaction Techniques for Visualization ; Visual Analytical Reasoning ; Visual Data Analysis and Knowledge Discovery ; Visual Representation and Interaction

Abstract: As behavioral science becomes progressively more data driven, the need is increasing for appropriate tools for visual exploration and analysis of large datasets, often formed by multivariate time series. This paper describes MUVTIME, a multimodal time series visualization tool, developed in Matlab that allows a user to load a time series collection (a multivariate time series dataset) and an associated video. The user can plot several time series on MUVTIME and use one of them to do brushing on the displayed data, i.e. select a time range dynamically and have it updated on the display. The tool also features a categorical visualization of two binary time series that works as a high-level descriptor of the coordination between two interacting partners. The paper reports the successful use of MUVTIME under the scope of project TURNTAKE, which was intended to contribute to the improvement of human-robot interaction systems by studying turn-taking dynamics (role interchange) in parent-chi ld dyads during joint action. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.229.142.175

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Sousa, E.; Malheiro, T.; Bicho, E.; Erlhagen, W.; Santos, J. and Pereira, A. (2016). MUVTIME: A Multivariate Time Series Visualizer for Behavioral Science.In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2 IVAPP: IVAPP, (VISIGRAPP 2016) ISBN 978-989-758-175-5, pages 165-176. DOI: 10.5220/0005725301650176

@conference{ivapp16,
author={Emanuel Sousa. and Tiago Malheiro. and Estela Bicho. and Wolfram Erlhagen. and Jorge Santos. and Alfredo Pereira.},
title={MUVTIME: A Multivariate Time Series Visualizer for Behavioral Science},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2 IVAPP: IVAPP, (VISIGRAPP 2016)},
year={2016},
pages={165-176},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005725301650176},
isbn={978-989-758-175-5},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2 IVAPP: IVAPP, (VISIGRAPP 2016)
TI - MUVTIME: A Multivariate Time Series Visualizer for Behavioral Science
SN - 978-989-758-175-5
AU - Sousa, E.
AU - Malheiro, T.
AU - Bicho, E.
AU - Erlhagen, W.
AU - Santos, J.
AU - Pereira, A.
PY - 2016
SP - 165
EP - 176
DO - 10.5220/0005725301650176

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.