Prototype Machine Learning Algorithms from Wearable Technology to Detect Tennis Stroke and Movement Actions

This study evaluated the accuracy of tennis-specific stroke and movement event detection algorithms from a cervically mounted wearable sensor containing a triaxial accelerometer, gyroscope and magnetometer. Stroke and movement data from up to eight high-performance tennis players were captured in ma...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2022-11, Vol.22 (22), p.8868
Main Authors: Perri, Thomas, Reid, Machar, Murphy, Alistair, Howle, Kieran, Duffield, Rob
Format: Article
Language:English
Subjects:
Accelerometers
accelerometery
Accuracy
Algorithms
Classification
Data mining
Datasets
Global positioning systems
GPS
Humans
Machine Learning
Movement
racquet sports
Sensors
Stroke
Tennis
Trials
Wearable computers
Wearable Electronic Devices
wearable technology
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