The ARCANE Project: how an ecological dynamics framework can enhance performance assessment and prediction in football

COUCEIRO, Micael S., DIAS, Gonçalo, ARAÚJO, Duarte and DAVIDS, Keith (2016). The ARCANE Project: how an ecological dynamics framework can enhance performance assessment and prediction in football. Sports Medicine. (In Press)

[img] PDF (Acceptance e-mail)
Davids - 13210.pdf - Other
Restricted to Repository staff only

Download (7kB)
[img] PDF
CouceiroDiasAraujoDavids - ARCANE project - OpinionShortV15Clean.pdf - Accepted Version
Restricted to Repository staff only until 3 March 2017.
Available under License All rights reserved.

Download (905kB)
Official URL: http://link.springer.com/article/10.1007%2Fs40279-...
Link to published version:: 10.1007/s40279-016-0549-2

Abstract

This paper discusses how an ecological dynamics framework can be implemented to interpret data, design practice tasks and interpret athletic performance in collective sports, exemplified here by research ideas within the Augmented peRCeption ANalysis framEwork for Football (ARCANE) project promoting an augmented perception of football teams for scientists and practitioners. An ecological dynamics rationale can provide an interpretation of athletes’ positional and physiological data during performance, using new methods to assess athletes’ behaviours in real-time and, to some extent, predict health and performance outcomes. The proposed approach signals practical applications for coaches, sports analysts, exercise physiologists and practitioners through merging a large volume of data into a smaller set of variables, resulting in a deeper analysis than typical measures of performance outcomes of competitive games.

Item Type: Article
Research Institute, Centre or Group: Centre for Sports Engineering Research
Identification Number: 10.1007/s40279-016-0549-2
Depositing User: Margaret Boot
Date Deposited: 16 Aug 2016 15:08
Last Modified: 05 Dec 2016 08:14
URI: http://shura.shu.ac.uk/id/eprint/13210

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics