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StreamTeam

Research Project
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01.01.2016
 - 31.12.2016

In a large variety of applications, sensors of different types are deployed to continuously capture their environment. The applications then have to process and analyze the streams of data generated by these sensors. Sensor analysis is quite challenging when not only the activities of individuals but also the interaction of individuals has to be assessed (e.g., the collective actions of players in a sports team). In our work, we aim at monitoring, coordinating, and analyzing the actions of teams of individuals in real-time in highly dynamic and mobile environments in a robust and scalable way. This is done by following a workflow-oriented approach that goes beyond the mere data collection about sensed facts and the post-hoc analysis of simple events.

Collaborations & Cooperations

2021 - Participation or Organization of Collaborations on a national level
Rumo, Martin, Eidgen. Bundesamt für Sport (BASPO), Research cooperation

Publications

Probst, Lukas, Giangreco, Ivan and Schuldt, Heiko (2016) ‘Pull-based Real-Time Complex Event Detection in Multiple Data Streams - the PAN Approach’. University of Basel, Department of Mathematics and Computer Science. Available at: http://informatik.unibas.ch/techreports/_Downloads/cs-2016-003.pdf.

URLs
URLs

Probst, Lukas, Giangreco, Ivan and Schuldt, Heiko (2016) ‘PAN - Distributed Real-Time Complex Event Detection in Multiple Data Streams’, in Jelasity, Márk; Kalyvianaki, Evangelia (ed.) Lecture Notes in Computer Science. Springer: Springer (Lecture Notes in Computer Science). Available at: https://doi.org/10.1007/978-3-319-39577-7_15.

URLs
URLs

Members (2)

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Heiko Schuldt

Principal Investigator
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Lukas Probst

Project Member