Literature DB >> 12363297

Technique analysis in sports: a critical review.

Adrian Lees1.   

Abstract

This paper critically reviews technique analysis as an analytical method used within sports biomechanics as a part of performance analysis. The concept of technique as 'a specific sequence of movements' appears to be well established in the literature, but the concept of technique analysis is less well developed. Although several descriptive and analytical goals for technique analysis can be identified, the main justification given for its use is to aid in the improvement of performance. However, the conceptual framework underpinning this process is poorly developed with a lack of distinction between technique and performance. The methods of technique analysis have been divided into qualitative, quantitative and predictive components. Qualitative technique analysis is characterized by observation and subjective judgement. Several aids to observation are identified, including phase analysis, temporal analysis and critical feature analysis. Although biomechanical principles of movement can be used to form judgements about technique, little agreement exists about the number and categories of these principles. A 'deterministic' model can be used to identify factors that affect performance but, in doing so, technique variables are frequently overlooked. Quantitative technique analysis relies on biomechanical data collection methods. The identification of key technique variables that affect performance is a major issue, but these are poorly distinguished from other variables that affect performance. Quantitative analysis is not suitable for establishing the characteristics of the whole skill, but new methods, such as the use of artificial neural networks, are described that may be able to overcome this limitation. Other methods based on modelling and computer simulation also have potential for focusing on the whole skill. Predictive technique analysis encompasses these developments and offers an attractive interface between the scientist and coach through visual animation methods. I conclude that biomechanists need to clarify the underpinning rationale, framework and scope for the various approaches to technique analysis.

Entities:  

Mesh:

Year:  2002        PMID: 12363297     DOI: 10.1080/026404102320675657

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


  17 in total

1.  Game, set and match? Substantive issues and future directions in performance analysis.

Authors:  Paul S Glazier
Journal:  Sports Med       Date:  2010-08-01       Impact factor: 11.136

2.  The Application of an Exploratory Factor Analysis to Investigate the Inter-Relationships amongst Joint Movement During Performance of a Football Skill.

Authors:  Christina Smith; Wendy Gilleard; John Hammond; Lyndon Brooks
Journal:  J Sports Sci Med       Date:  2006-12-15       Impact factor: 2.988

3.  The physiological demands of table tennis: a review.

Authors:  Miran Kondrič; Alessandro Moura Zagatto; Damir Sekulić
Journal:  J Sports Sci Med       Date:  2013-09-01       Impact factor: 2.988

4.  The use of neural network technology to model swimming performance.

Authors:  António José Silva; Aldo Manuel Costa; Paulo Moura Oliveira; Victor Machado Reis; José Saavedra; Jurgen Perl; Abel Rouboa; Daniel Almeida Marinho
Journal:  J Sports Sci Med       Date:  2007-03-01       Impact factor: 2.988

Review 5.  An integrated approach to the biomechanics and motor control of cricket fast bowling techniques.

Authors:  Paul S Glazier; Jonathan S Wheat
Journal:  Sports Med       Date:  2014-01       Impact factor: 11.136

6.  Challenging Conventional Paradigms in Applied Sports Biomechanics Research.

Authors:  Paul S Glazier; Sina Mehdizadeh
Journal:  Sports Med       Date:  2019-02       Impact factor: 11.136

7.  Maximal Sprint Speed and the Anaerobic Speed Reserve Domain: The Untapped Tools that Differentiate the World's Best Male 800 m Runners.

Authors:  Gareth N Sandford; Andrew E Kilding; Angus Ross; Paul B Laursen
Journal:  Sports Med       Date:  2019-06       Impact factor: 11.136

Review 8.  Conventional and genetic talent identification in sports: will recent developments trace talent?

Authors:  Sarah Breitbach; Suzan Tug; Perikles Simon
Journal:  Sports Med       Date:  2014-11       Impact factor: 11.136

9.  Effects of the administration of feedback on performance of the bmx cycling gate start.

Authors:  Mikel Zabala; Cristóbal Sánchez-Muñoz; Manuel Mateo
Journal:  J Sports Sci Med       Date:  2009-09-01       Impact factor: 2.988

10.  Structural Analysis of Technical-Tactical Elements in Table Tennis and their Role in Different Playing Zones.

Authors:  Goran Munivrana; Lidija Zekan Petrinović; Miran Kondrič
Journal:  J Hum Kinet       Date:  2015-10-14       Impact factor: 2.193

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.