Herakles: A system for sensor-based live sport analysis using private peer-to-peer networks

Abstract: Tactical decisions characterize team sports like soccer or basketball profoundly. Analyses of training sessions and matches (e.g., mileage or pass completion rate of a player) form more and more a crucial base for those tactical decisions. Most of the analyses are video-based, resulting in high operating expenses. Additionally, a highly specialized system with a huge amount of system resources like processors and memory is needed. Typically, analysts present the results of the video data in time-outs (e.g., in the half-time break of a soccer match). Therefore, coaches are not able to view statistics during the match. In this paper we propose the concepts and current state of Herakles, a system for live sport analysis which uses streaming sensor data and a Peer-to-Peer network of conventional and low-cost private machines. Since sensor data is typically of high volume and velocity, we use a distributed data stream management system (DSMS). The results of the data stream proces...

• Type: Journal
• Year: 2015
• Where: BTW
• Authors: Michael Brand, Tobias Brandt, Carsten Cordes, Marc Wilken, Timo Michelsen
• Keywords: BTW 2015, Database