Literature DB >> 7563290

The use of artificial intelligence in the analysis of sports performance: a review of applications in human gait analysis and future directions for sports biomechanics.

A C Lapham1, R M Bartlett.   

Abstract

Computers have played an important supporting role in the development of experimental and theoretical sports biomechanics. The role of the computer now extends from data capture and data processing through to mathematical and statistical modelling and simulation and optimization. This paper seeks to demonstrate that elevation of the role of the computer to involvement in the decision-making process, through the use of artificial intelligence techniques, would be a potentially rewarding future direction for the discipline. In the absence of significant previous work in this area, this paper reviews experiences in a parallel field of medical informatics, namely gait analysis. Research into the application of expert systems and neural networks to gait analysis is reviewed, observations made and comparisons drawn with the biomechanical analysis of sports performance. Brief explanations of the artificial intelligence techniques discussed in the paper are provided. The paper concludes that the creation of an expert system for a specific well-defined sports technique would represent a significant advance in the development of sports biomechanics.

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Year:  1995        PMID: 7563290     DOI: 10.1080/02640419508732232

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


  8 in total

Review 1.  Artificial intelligence in sports biomechanics: new dawn or false hope?

Authors:  Roger Bartlett
Journal:  J Sports Sci Med       Date:  2006-12-15       Impact factor: 2.988

2.  Artificial intelligence in sports on the example of weight training.

Authors:  Hristo Novatchkov; Arnold Baca
Journal:  J Sports Sci Med       Date:  2013-03-01       Impact factor: 2.988

Review 3.  Quantification of quadriceps and hamstring antagonist activity.

Authors:  E Kellis
Journal:  Sports Med       Date:  1998-01       Impact factor: 11.136

4.  Research on System Construction and Strategy of Intelligent Sports in the Implementation of National Fitness.

Authors:  Yuxin Tang; Shengfeng Zan; Xiaowen Zhang
Journal:  Comput Intell Neurosci       Date:  2022-05-10

5.  Editorial: Using Artificial Intelligence to Enhance Sport Performance.

Authors:  Dan B Dwyer; Matthias Kempe; Arno Knobbe
Journal:  Front Sports Act Living       Date:  2022-04-25

6.  Application of Improved VMD-LSTM Model in Sports Artificial Intelligence.

Authors:  Tiancong Zhang; Caihua Fu
Journal:  Comput Intell Neurosci       Date:  2022-07-14

7.  A Wearable Gait Phase Detection System Based on Force Myography Techniques.

Authors:  Xianta Jiang; Kelvin H T Chu; Mahta Khoshnam; Carlo Menon
Journal:  Sensors (Basel)       Date:  2018-04-21       Impact factor: 3.576

8.  Artificial Intelligence and Machine Learning in Sport Research: An Introduction for Non-data Scientists.

Authors:  Nader Chmait; Hans Westerbeek
Journal:  Front Sports Act Living       Date:  2021-12-08
  8 in total

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