Prediction of movement in handball with the use of inertial measurement units and machine learning
Author:
Affiliation:
1. Sport Sciences – Performance and Technology, Department of Health Science and Technology, Faculty of Medicine, Aalborg University, Aalborg, Denmark
2. Catapult Group International Ltd, Melbourne, Australia
Funder
Alliance for Sports Engineering Educations and the Erasmus+ programme of the European Union
Publisher
Informa UK Limited
Subject
Physical Therapy, Sports Therapy and Rehabilitation,Orthopedics and Sports Medicine
Link
https://www.tandfonline.com/doi/pdf/10.1080/14763141.2023.2224279
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1. Graphs in Statistical Analysis
2. Applications of GPS Technologies to Field Sports
3. A support vector machine algorithm can successfully classify running ability when trained with wearable sensor data from anatomical locations typical of consumer technology
4. Validity of a Microsensor-Based Algorithm for Detecting Scrum Events in Rugby Union
5. The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition
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