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Authors: Flavia A. Schneider ; Adriano Branco ; Ariane M. B. Rodrigues ; Felipe Carvalho ; Simone D. J. Barbosa ; Markus Endler and Hélio Lopes

Affiliation: Department of Computing, PUC-Rio, Rua Marquês de São Vicente, 225, Rio de Janeiro, Brazil

Keyword(s): Internet of Mobile Things, Data Visualization, Indoor Positioning, Data Mining, Information Systems.

Abstract: Several systems deal with human mobility. Most of them are for outdoor environments and use mobile phones to capture data. However, there is a growing interest of enterprises to consider indoor movement to take employees and client classes into account. Moreover, they usually want to assign semantics to the visited locations. We propose a visual exploration tool for analyzing the dynamics of individual movements in an indoor environment in this work. We present the use of suitable charts and animations to explore these complex data better. Finally, we argue that one could use our solution to monitor social distancing in indoor environments, which is a sensible thing during the current COVID-19 pandemic.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Schneider, F.; Branco, A.; Rodrigues, A.; Carvalho, F.; Barbosa, S.; Endler, M. and Lopes, H. (2021). Visual Analysis Tool for a BLE Technology based Tracking Data. In Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-509-8; ISSN 2184-4992, SciTePress, pages 232-239. DOI: 10.5220/0010454202320239

@conference{iceis21,
author={Flavia A. Schneider. and Adriano Branco. and Ariane M. B. Rodrigues. and Felipe Carvalho. and Simone D. J. Barbosa. and Markus Endler. and Hélio Lopes.},
title={Visual Analysis Tool for a BLE Technology based Tracking Data},
booktitle={Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2021},
pages={232-239},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010454202320239},
isbn={978-989-758-509-8},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Visual Analysis Tool for a BLE Technology based Tracking Data
SN - 978-989-758-509-8
IS - 2184-4992
AU - Schneider, F.
AU - Branco, A.
AU - Rodrigues, A.
AU - Carvalho, F.
AU - Barbosa, S.
AU - Endler, M.
AU - Lopes, H.
PY - 2021
SP - 232
EP - 239
DO - 10.5220/0010454202320239
PB - SciTePress