Automated classification of pre-defined movement patterns: A comparison between GNSS and UWB technology

Autor: Laanen, Rodi, Nasri, Maedeh, van Dijk, Richard, Baratchi, Mitra, Koutamanis, Alexander, Rieffe, Carolien

Advanced real-time location systems (RTLS) allow for collecting spatio-temporal data from human movement behaviours. Tracking individuals in small areas such as schoolyards or nursing homes might impose difficulties for RTLS in terms of positioning a

Externí odkaz: http://arxiv.org/abs/2303.07107

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A GNN-Based Architecture for Group Detection from Spatio-Temporal Trajectory Data

Autor: Nasri, Maedeh, Fang, Zhizhou, Baratchi, Mitra, Englebienne, Gwenn, Wang, Shenghui, Koutamanis, Alexander, Rieffe, Carolien, Crémilleux, Bruno, Hess, Sibylle, Nijssen, Siegfried

Publikováno v: Advances in Intelligent Data Analysis XXI ISBN: 9783031300462
Advances in Intelligent Data Analysis XXI: 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-la-Neuve, Belgium, April 12–14, 2023, Proceedings, 327-339
STARTPAGE=327;ENDPAGE=339;TITLE=Advances in Intelligent Data Analysis XXI

Detecting and analyzing group behavior from spatio-temporal trajectories is an interesting topic in various domains, such as autonomous driving, urban computing, and social sciences. This paper revisits the group detection problem from spatio-tempora

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aab82c6185094d6749d89c6239de6e5b
https://doi.org/10.1007/978-3-031-30047-9_26

A novel metric to measure spatio-temporal proximity: a case study analyzing children's social network in schoolyards.

Autor: Nasri, Maedeh, Baratchi, Mitra, Tsou, Yung-Ting, Giest, Sarah, Koutamanis, Alexander, Rieffe, Carolien

Publikováno v: Applied Network Science; 8/2/2023, Vol. 8 Issue 1, p1-24, 24p