Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Martin Rumo"'
Publikováno v:
PLoS ONE, Vol 16, Iss 4, p e0250549 (2021)
PurposeThis study compared the validity and inter- and intra-unit reliability of local (LPM) and global (GPS) position measurement systems for measuring acceleration during team sports.MethodsDevices were attached to a remote-controlled car and valid
Externí odkaz:
https://doaj.org/article/5dd8130d5c3b4cac94504ffd5f04f7a7
Publikováno v:
Current Issues in Sport Science, Vol 3 (2018)
Passes are a performance-relevant parameter in many team sports. They must be played in the highly dynamic and unpredictable contexts of interactive team competitions. The difficulty to plan passes in advance requires real-time decisions and highligh
Externí odkaz:
https://doaj.org/article/995fb573a296418085ed742534ce9915
Publikováno v:
International Journal of Computer Science in Sport. 20:1-22
Many professional sport organizations are currently in the process of finding or already using sports information systems (SIS) to integrate data from different information and measurement systems. The problem is that requirements are very heterogene
Publikováno v:
International Journal of Sports Physiology and Performance. 14:627-634
Purpose: To investigate the strengths and limitations of different indicators to measure physical load. Furthermore, indicators were evaluated for discrimination between performance levels and playing positions. Methods: Ninety positional match files
Publikováno v:
Steiner, Silvan; Rauh, Stephan; Rumo, Martin; Sonderegger, Karin; Seiler, Roland (2019). Outplaying opponents—a differential perspective on passes using position data. German journal of exercise and sport research, 49(2), pp. 140-149. Springer 10.1007/s12662-019-00579-0
In recent years, the availability of new tracking technologies has enabled new perspectives on passes played in football. One such perspective includes measuring the number of opponents that are outplayed by a pass (NOO). Various studies substantiate
Publikováno v:
IEEE BigData
In recent years, Big Data has become an important topic in many areas of our daily lives, including sports. Almost all professional clubs analyze matches to improve the performance of their teams. However, events are still predominantly captured manu
Team sports like football have become an important economic factor. As a result, the pressure on coaches to succeed is increasing and, as a consequence, so are the expectations of the performance analysts who support the coaches in their work. Until
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::867fd9ee966d4f27fd402099d1eed53a
Autor:
Martin Rumo, Lukas Probst, Heiko Schuldt, Michael Plüss, Philipp Seidenschwarz, Adalsteinn Jonsson
Publikováno v:
IUI Companion
In today's team sports, the effective and user-friendly support of analysts and coaches in analyzing their team's tactics is essential. In this paper, we present an extended version of SPORTSENSE, a tool for searching in sports video by means of sket
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1cb93b3f1c6dc9a7870b74f291be84c1
Publikováno v:
Proceedings of the 12th International Symposium on Computer Science in Sport (IACSS 2019) ISBN: 9783030350475
Quantitative analysis in football is difficult due to the complexity and continuous fluidity of the game. Even though there is an increased accessibility of spatio-temporal data, scientific approaches to extract valuable information are seldomly usef
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::faeeff729c83e9fe69ec48ae6cc030d9
https://doi.org/10.1007/978-3-030-35048-2_3
https://doi.org/10.1007/978-3-030-35048-2_3
Publikováno v:
IEEE BigData
Big data in sports comes with two closely related challenges: first, the online analysis of continuous data streams to identify characteristic events and second, advanced retrieval in video collections and/or event data that help game analysts to sea