Title: Analyzing performance in Orienteering from movement trajectories and contextual information
Language: English
Authors: Sailer, Christian 
Martin, Henry 
Gaia, Luca 
Raubal, Martin
Keywords: orienteering; data analytics; context
Issue Date: 2019
Abstract: 
This paper presents a framework to automatically analyze the performance of elite orienteers under the consideration of the slope and of a wide-range of vegetation types. We test our approach using data of four different competitions of the European Orienteering Championships 2018. Two use cases of the framework are presented: first, the analysis of the speed and slope on a competition level and second, the analysis of the speed as a function of the vegetation type either on a competition level or on an individual athlete level. The presented framework can be used efficiently across multiple data sets and by coaches and athletes to develop new strategies for training or competitions.
URI: https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:3-7299
http://hdl.handle.net/20.500.12708/313
DOI: 10.34726/lbs2019.32
Library ID: AC15513017
Organisation: E120 - Department für Geodäsie und Geoinformation 
Publication Type: Inproceedings
Konferenzbeitrag
Appears in Collections:Conference Paper

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