Title: Analyzing performance in Orienteering from movement trajectories and contextual information
Language: English
Authors: Sailer, Christian 
Martin, Henry 
Gaia, Luca 
Raubal, Martin
Issue Date: 2019
Sailer, C., Martin, H., Gaia, L., & Raubal, M. (2019). Analyzing performance in Orienteering from movement trajectories and contextual information. In LBS 2019; Adjunct Proceedings of the 15th International Conference on Location-Based Services / Gartner, Georg; Huang, Haosheng. Wien. https://doi.org/10.34726/lbs2019.32
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.
Keywords: orienteering; data analytics; context
URI: https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:3-7299
DOI: 10.34726/lbs2019.32
Library ID: AC15513017
Organisation: E120 - Department für Geodäsie und Geoinformation 
Publication Type: Inproceedings
Appears in Collections:Conference Paper

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