Hi,

See the following links

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3861744/

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3761781/

http://dl.acm.org/citation.cfm?id=1808054

The main directions of AI use in sports biomechanics may be summed up as follows:

1. Automatic marker-tracking systems allow more, and more accurate, human movement data to be collected.

2. Fuzzy Expert Systems for diagnosis of faults in sports techniques, a substantial development of the rudimentary ExpertSystems currently embedded in some video analysis packages.

3. Kohonen mapping will become commonplace in sports biomechanics, particularly if the technique elements captured by the mapping can be identified.

4. Dynamically controlled networks will become more widely used in studying learning of movement patterns.

5. Multi-layer Artificial Neural Networks (ANNs) will have an important role in technique analysis, a view supported by their use elsewhere in biomechanics, including the closely related domain of gait analysis.

6. Evolutionary Computation and hybrid systems - will feature in future developments in the optimization of sports techniques and skill learning.

7. Finally, the links with dynamical systems theory will become even more apparent, leading, for example, to an enhanced understanding of movement coordination and the role of movement variability.

Hope this helps.

 it's very nice of you Dear Professor

your answer was very useful.

Kinds Regards

The answer of Mr. Alexander Egoyan was very useful. 

Besides that You may follow these below links as well.....

file:///C:/Users/sanjay%20chakraborty/Downloads/193-505-1-PB.pdf

https://repositorio-aberto.up.pt/bitstream/10216/79833/2/103645.pdf

Hi..

this book could be useful too

http://www.igi-global.com/chapter/computer-science-in-sport/113156

thanks for all your insightful answers

Mahboube