Synchronization of passes in event and spatiotemporal soccer data.

ABSTRACT: The majority of soccer analysis studies investigates specific scenarios through the implementation of computational techniques, which involve the examination of either spatiotemporal position data (movement of players and the ball on the pitch) or event data (relating to significant situations during a match). Yet, only a few applications perform a joint analysis of both data sources despite the various involved advantages emerging from such an approach. One possible reason for this is a non-systematic error in the event data, causing a temporal misalignment of the two data sources. To address this problem, we propose a solution that combines the SwiftEvent online algorithm (Gensler and Sick in Pattern Anal Appl 21:543-562, 2018) with a subsequent refinement step that corrects pass timesta

SUBMITTER: Biermann H 

PROVIDER: S-EPMC10518005 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature