Machine and deep learning for sport-specific movement recognition: a systematic review of model development and performance

Objective assessment of an athlete's performance is of importance in elite sports to facilitate detailed analysis. The implementation of automated detection and recognition of sport-specific movements overcomes the limitations associated with manual performance analysis methods. The object of t...

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Bibliographic Details
Published in:Journal of sports sciences 2019-03, Vol.37 (5), p.568-600
Main Authors: Cust, Emily E, Sweeting, Alice J, Ball, Kevin, Robertson, Sam
Format: Article
Language:English
Subjects:
Athletic Performance - physiology
computer vision
Data processing
Deep Learning
Humans
inertial sensors
Learning algorithms
Long short-term memory
Machine Learning
Movement - physiology
Neural networks
performance analysis
Sport movement classification
Sports - physiology
Support Vector Machine
Systematic review
Teaching methods
Time and Motion Studies
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