316 – Machine Learning for Understanding Motor Learning

A look at research examining how machine learning techniques can
be used to further our understanding of motor learning,
investigating questions related to talent development, the
structure of practice, the level of tactical proficiency, and
recovery from practice.


 


Articles:


Complementing subjective with objective data in analysing
expertise: A machine-learning approach applied to badminton


The Identification of “Game Changers” in England Cricket’s
Developmental Pathway for Elite Spin Bowling: A Machine Learning
Approach


It Ain’t What You Do—It’s the Way That You Do It: Is Optimizing
Challenge Key in the Development of Super-Elite Batsmen?


Machine learning approach to model sport training
 

More information:


http://perceptionaction.com/


My Research Gate Page (pdfs of my articles)


My ASU Web page


Podcast Facebook page (videos, pics, etc)


 


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Credits:


The Flamin' Groovies - Shake Some Action


Mark Lanegan - Saint Louis Elegy


via freemusicarchive.org and jamendo.com