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Gaining Insight from Physical Activity Data using a Similarity-based Interactive Visualization

Topics: Interactive Visual Interfaces for Visualization; Interface and Interaction Techniques for Visualization; Visual Data Analysis and Knowledge Discovery; Visual Representation and Interaction; Visualization Algorithms and Technologies

Authors: Arkaitz Artetxe ; Gorka Epelde ; Andoni Beristain ; Ane Murua and Roberto Álvarez

Affiliation: Vicomtech-IK4, Spain

ISBN: 978-989-758-175-5

Keyword(s): Personal Visualization, Personal Visual Analytics, Visualization Insights, Personal INFOVIS, Personal Informatics, Data Clustering, Time-series Data, Periodic Events, Physical Activity, Quantified-Self, Lifelogging.

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 Data Analysis and Knowledge Discovery ; Visual Representation and Interaction ; Visualization Algorithms and Technologies

Abstract: This paper presents a new interactive visualization approach which aims to help and support the user in gaining insight over his physical activity data. The main novelty of the proposed visualization approach is the representation of similarities in the physical activity patterns in time using data clustering techniques, in addition to the continuous physical activity representation over a circular chart. This grouping of similar activity patterns helps identifying meaningful events or behaviors, combined with the periodicity highlighting circular charts. The user is able to interact with the visualization during the knowledge discovery process by changing the represented time-scale, time-frame and the number of clusters used for the user’s physical activity pattern categorization. Additionally, the proposed visualization approach allows to easily report and store the insights gained during the visual data analysis process, by adding a textual description linked to the particular user tailored visualization configuration which led to that insight. (More)

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Paper citation in several formats:
Artetxe, A.; Epelde, G.; Beristain, A.; Murua, A. and Álvarez, R. (2016). Gaining Insight from Physical Activity Data using a Similarity-based Interactive Visualization.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 115-122. DOI: 10.5220/0005675701150122

@conference{ivapp16,
author={Arkaitz Artetxe. and Gorka Epelde. and Andoni Beristain. and Ane Murua. and Roberto Álvarez.},
title={Gaining Insight from Physical Activity Data using a Similarity-based Interactive Visualization},
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={115-122},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005675701150122},
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 - Gaining Insight from Physical Activity Data using a Similarity-based Interactive Visualization
SN - 978-989-758-175-5
AU - Artetxe, A.
AU - Epelde, G.
AU - Beristain, A.
AU - Murua, A.
AU - Álvarez, R.
PY - 2016
SP - 115
EP - 122
DO - 10.5220/0005675701150122

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