Analyzing performance in Orienteering from movement trajectories and contextual information

Sailer, Christian; Martin, Henry; Gaia, Luca; Raubal, Martin

doi:10.34726/lbs2019.32

Record link:

https://doi.org/10.34726/lbs2019.32
http://hdl.handle.net/20.500.12708/313

Title:

Analyzing performance in Orienteering from movement trajectories and contextual information

Citation:

Sailer, C., Martin, H., Gaia, L., & Raubal, M. (2019). Analyzing performance in Orienteering from movement trajectories and contextual information. In G. Gartner & H. Huang (Eds.), LBS 2019 : Adjunct Proceedings of the 15th International Conference on Location-Based Services. Wien. https://doi.org/10.34726/lbs2019.32

reposiTUm DOI:

10.34726/lbs2019.32

CatalogPlus:

AC15513017

Publication Type:

Inproceedings - Full-Paper Contribution

Language:

English

Authors:

Sailer, Christian
Martin, Henry
Gaia, Luca
Raubal, Martin

Published in:

LBS 2019 : Adjunct Proceedings of the 15th International Conference on Location-Based Services

Date (published):

2019

Event name:

15th International Conference on Location-Based Services

Event date:

11-Nov-2019 - 13-Nov-2019

Event place:

Wien, Austria

Number of Pages:

Publisher:

Wien

Keywords:

orienteering; data analytics; context

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.

License:

CC BY 4.0