dc.contributor.author | Andreassen, Kim Hartvedt | |
dc.contributor.author | Johansen, Dag | |
dc.contributor.author | Johansen, Håvard D. | |
dc.contributor.author | Matias Do Vale Baptista, Ivan Andre | |
dc.contributor.author | Pettersen, Svein Arne | |
dc.contributor.author | Riegler, Micheal | |
dc.contributor.author | Halvorsen, Pål | |
dc.date.accessioned | 2020-01-21T12:29:10Z | |
dc.date.accessioned | 2020-04-21T08:22:51Z | |
dc.date.available | 2020-01-21T12:29:10Z | |
dc.date.available | 2020-04-21T08:22:51Z | |
dc.date.issued | 2019-10-21 | |
dc.identifier.citation | Andreassen KH, Johansen D, Johansen HJ, Matias Do Vale Baptista IA, Pettersen SA, Riegler, Halvorsen P: Real-time Analysis of Physical Performance Parameters in Elite Soccer. In: Gurrin CG, Jónsson BT, Peteri R. Proceedings of Content Based Multimedia Information (CBMI 2019), 2019. IEEE conference proceedings | en |
dc.identifier.isbn | 978-1-7281-4673-7 | |
dc.identifier.issn | 1949-3991 | |
dc.identifier.issn | 1949-3983 | |
dc.identifier.uri | https://hdl.handle.net/10642/8467 | |
dc.description.abstract | Technology is having vast impact on the sports industry, and in particular soccer. All over the world, soccer teams are adapting digital information systems to quantify performance metrics. The goal is to assess strengths and weaknesses of individual players, training regimes, and play strategies; to improve performance and win games. However, most existing methods rely on post-game analytic. This limits coaches to review games in retrospect without any means to do changes during sessions. In collaboration with an elite soccer club, we have developed Metrix which is a computerized toolkit for coaches to perform realtime monitoring and analysis of the players' performance. Using sensor technology to track movement, performance parameters are instantly available to coaches through a mobile phone client. Metrix provides coaches with a toolkit to individualize training load to different playing positions on the field, or to the player himself. Our results show that Metrix is able to quantify player performance and propagate it to coaches in real-time during a match or practice, i.e., latency is below 100 ms on the field. In our initial user evaluation, the coaches express that this is a valuable asset in day-to-day work. | en |
dc.description.sponsorship | Norges forskningsråd: 250138.
Norges forskningsråd: 263248 | en |
dc.language.iso | en | en |
dc.publisher | IEEE | en |
dc.relation.ispartof | 2019 International Conference on Content-Based Multimedia Indexing (CBMI) | |
dc.relation.ispartofseries | International Conference on Content-Based Multimedia Indexing (CBMI); | |
dc.rights | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including
reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists,or reuse of any
copyrighted component of this work in other works. DOI: https://dx.doi.org/10.1109/CBMI.2019.8877422 | en |
dc.subject | Athlete tracking | en |
dc.subject | Activity assessments | en |
dc.subject | Sport analyses | en |
dc.subject | Motion tracking | en |
dc.subject | Automated training assistance | en |
dc.title | Real-time Analysis of Physical Performance Parameters in Elite Soccer | en |
dc.type | Conference object | en |
dc.date.updated | 2020-01-21T12:29:10Z | |
dc.description.version | acceptedVersion | en |
dc.identifier.doi | https://dx.doi.org/10.1109/CBMI.2019.8877422 | |
dc.identifier.cristin | 1734964 | |
dc.relation.projectID | Norges forskningsråd: 250138 | |
dc.relation.projectID | Norges forskningsråd: 263248 | |
dc.source.isbn | 978-1-7281-4673-7 | |
dc.source.isbn | 978-1-7281-4672-0 | |