316 – Machine Learning for Understanding Motor Learning - a podcast by Rob Gray

from 2020-08-18T04:30

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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

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