Literature DB >> 12363299

Temporal pattern analysis and its applicability in sport: an explanation and exemplar data.

Andrew Borrie1, Gudberg K Jonsson, Magnus S Magnusson.   

Abstract

Quantitative analysis of sports performance has been shown to produce information that coaches can use within the coaching process to enhance performance. Traditional methods for quantifying sport performances are limited in their capacity to describe the complex interactions of events that occur within a performance over time. In this paper, we outline a new approach to the analysis of time-based event records and real-time behaviour records on sport performance known as T-pattern detection. The relevant elements of the T-pattern detection process are explained and exemplar data from the analysis of 13 soccer matches are presented to highlight the potential of this form of analysis. The results from soccer suggest that it is possible to identify new profiles for both individuals and teams based on the analysis of temporal behavioural patterns detected within the performances.

Mesh:

Year:  2002        PMID: 12363299     DOI: 10.1080/026404102320675675

Source DB:  PubMed          Journal:  J Sports Sci        ISSN: 0264-0414            Impact factor:   3.337


  16 in total

1.  Stability of patterns of behavior in the butterfly technique of the elite swimmers.

Authors:  Hugo Louro; António J Silva; Teresa Anguera; Daniel A Marinho; Conceição Oliveira; Ana Conceição; Jorge Campaniço
Journal:  J Sports Sci Med       Date:  2010-03-01       Impact factor: 2.988

Review 2.  The role of motion analysis in elite soccer: contemporary performance measurement techniques and work rate data.

Authors:  Christopher Carling; Jonathan Bloomfield; Lee Nelsen; Thomas Reilly
Journal:  Sports Med       Date:  2008       Impact factor: 11.136

Review 3.  Recent advances in the analysis of behavioural organization and interpretation as indicators of animal welfare.

Authors:  Lucy Asher; Lisa M Collins; Angel Ortiz-Pelaez; Julian A Drewe; Christine J Nicol; Dirk U Pfeiffer
Journal:  J R Soc Interface       Date:  2009-09-09       Impact factor: 4.118

4.  A novel method for automatic quantification of psychostimulant-evoked route-tracing stereotypy: application to Mus musculus.

Authors:  Stephen J Bonasera; A Katrin Schenk; Evan J Luxenberg; Laurence H Tecott
Journal:  Psychopharmacology (Berl)       Date:  2007-12-21       Impact factor: 4.530

5.  T-Patterns revisited: mining for temporal patterns in sensor data.

Authors:  Albert Ali Salah; Eric Pauwels; Romain Tavenard; Theo Gevers
Journal:  Sensors (Basel)       Date:  2010-08-10       Impact factor: 3.576

6.  Activity profiles of soccer players during the 2010 world cup.

Authors:  Filipe Manuel Clemente; Micael Santos Couceiro; Fernando Manuel Lourenço Martins; Monika Ognyanova Ivanova; Rui Mendes
Journal:  J Hum Kinet       Date:  2013-10-08       Impact factor: 2.193

7.  Knowledge of errors in the teaching-learning process of judo-techniques: osoto-guruma as a case study.

Authors:  Iván Prieto; Alfonso Gutiérrez-Santiago; Miguel Ángel Prieto Lage
Journal:  J Hum Kinet       Date:  2014-07-08       Impact factor: 2.193

8.  Detection of Ludic Patterns in Two Triadic Motor Games and Differences in Decision Complexity.

Authors:  Miguel Pic Aguilar; Vicente Navarro-Adelantado; Gudberg K Jonsson
Journal:  Front Psychol       Date:  2018-01-05

9.  How Game Location Affects Soccer Performance: T-Pattern Analysis of Attack Actions in Home and Away Matches.

Authors:  Barbara Diana; Valentino Zurloni; Massimiliano Elia; Cesare M Cavalera; Gudberg K Jonsson; M Teresa Anguera
Journal:  Front Psychol       Date:  2017-08-21

Review 10.  Big data and tactical analysis in elite soccer: future challenges and opportunities for sports science.

Authors:  Robert Rein; Daniel Memmert
Journal:  Springerplus       Date:  2016-08-24
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