Literature DB >> 27139724

The ARCANE Project: How an Ecological Dynamics Framework Can Enhance Performance Assessment and Prediction in Football.

Micael S Couceiro1,2, Gonçalo Dias3, Duarte Araújo4, Keith Davids5.   

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.

Mesh:

Year:  2016        PMID: 27139724     DOI: 10.1007/s40279-016-0549-2

Source DB:  PubMed          Journal:  Sports Med        ISSN: 0112-1642            Impact factor:   11.136


  8 in total

1.  Sport competition as a dynamical self-organizing system.

Authors:  Tim McGarry; David I Anderson; Stephen A Wallace; Mike D Hughes; Ian M Franks
Journal:  J Sports Sci       Date:  2002-10       Impact factor: 3.337

Review 2.  The role of ecological dynamics in analysing performance in team sports.

Authors:  Luís Vilar; Duarte Araújo; Keith Davids; Chris Button
Journal:  Sports Med       Date:  2012-01-01       Impact factor: 11.136

3.  Advancing from offline to online activity recognition with wearable sensors.

Authors:  Miikka Ermes; Juha Parkka; Luc Cluitmans
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2008

4.  Shared knowledge or shared affordances? Insights from an ecological dynamics approach to team coordination in sports.

Authors:  Pedro Silva; Júlio Garganta; Duarte Araújo; Keith Davids; Paulo Aguiar
Journal:  Sports Med       Date:  2013-09       Impact factor: 11.136

5.  Analysis of the distances covered by first division brazilian soccer players obtained with an automatic tracking method.

Authors:  Ricardo M L Barros; Milton S Misuta; Rafael P Menezes; Pascual J Figueroa; Felipe A Moura; Sergio A Cunha; Ricardo Anido; Neucimar J Leite
Journal:  J Sports Sci Med       Date:  2007-06-01       Impact factor: 2.988

Review 6.  Ubiquitous computing in sports: A review and analysis.

Authors:  Arnold Baca; Peter Dabnichki; Mario Heller; Philipp Kornfeind
Journal:  J Sports Sci       Date:  2009-10       Impact factor: 3.337

7.  Self-organization processes in field-invasion team sports : implications for leadership.

Authors:  Pedro Passos; Duarte Araújo; Keith Davids
Journal:  Sports Med       Date:  2013-01       Impact factor: 11.136

8.  Coordination tendencies are shaped by attacker and defender interactions with the goal and the ball in futsal.

Authors:  Luís Vilar; Duarte Araújo; Bruno Travassos; Keith Davids
Journal:  Hum Mov Sci       Date:  2014-01-11       Impact factor: 2.161

  8 in total
  9 in total

1.  Team Sports Performance Analysed Through the Lens of Social Network Theory: Implications for Research and Practice.

Authors:  João Ribeiro; Pedro Silva; Ricardo Duarte; Keith Davids; Júlio Garganta
Journal:  Sports Med       Date:  2017-09       Impact factor: 11.136

Review 2.  What Performance Analysts Need to Know About Research Trends in Association Football (2012-2016): A Systematic Review.

Authors:  Hugo Sarmento; Filipe Manuel Clemente; Duarte Araújo; Keith Davids; Allistair McRobert; António Figueiredo
Journal:  Sports Med       Date:  2018-04       Impact factor: 11.136

3.  Team Synergies in Sport: Theory and Measures.

Authors:  Duarte Araújo; Keith Davids
Journal:  Front Psychol       Date:  2016-09-21

4.  What's in a game? A systems approach to enhancing performance analysis in football.

Authors:  Scott McLean; Paul M Salmon; Adam D Gorman; Gemma J M Read; Colin Solomon
Journal:  PLoS One       Date:  2017-02-17       Impact factor: 3.240

5.  Using Artificial Intelligence for Pattern Recognition in a Sports Context.

Authors:  Ana Cristina Nunes Rodrigues; Alexandre Santos Pereira; Rui Manuel Sousa Mendes; André Gonçalves Araújo; Micael Santos Couceiro; António José Figueiredo
Journal:  Sensors (Basel)       Date:  2020-05-27       Impact factor: 3.576

Review 6.  Future Directions and Considerations for Talent Identification in Australian Football.

Authors:  Nathan Bonney; Paul Larkin; Kevin Ball
Journal:  Front Sports Act Living       Date:  2020-11-30

Review 7.  Methodological Considerations for Furthering the Understanding of Constraints in Applied Sports.

Authors:  Peter Browne; Alice J Sweeting; Carl T Woods; Sam Robertson
Journal:  Sports Med Open       Date:  2021-04-01

8.  Modelling the Influence of Task Constraints on Goal Kicking Performance in Australian Rules Football.

Authors:  Peter R Browne; Alice J Sweeting; Sam Robertson
Journal:  Sports Med Open       Date:  2022-01-24

9.  Vision-based movement recognition reveals badminton player footwork using deep learning and binocular positioning.

Authors:  Jiabei Luo; Yujie Hu; Keith Davids; Di Zhang; Cade Gouin; Xiang Li; Xianrui Xu
Journal:  Heliyon       Date:  2022-08-13
  9 in total

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