The Use of Applied Technology in Team Sport (eBook, ePUB)

Redaktion: Pino-Ortega, José; Rico-González, Markel

• Format: ePub

Produktbeschreibung

The Use of Applied Technology in Team Sport describes and assists researchers, academics and professionals with understanding the methodology around applied technology in sport examining; what systems track players performance, who are the manufacturers that provide these systems.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 258
• Erscheinungstermin: 22. Juli 2021
• Englisch
• ISBN-13: 9781000414578
• Artikelnr.: 61969059

Autorenporträt

José Pino-Ortega is Titular Professor in University of Murcia, Spain, and researcher of the BIOVETMED & SPORTSCI Research Group from the same university. He has a Ph.D. in Sport Sciences-Applied technology to Sport in Faculty of Sport Science from University of Murcia, Spain. Markel Rico-González is a researcher of both University of Basque Country, Spain, and BIOVETMED & SPORTSCI Research Group from University of Murcia, Spain. He has a Ph.D. in Sport Sciences- Team Sports Performance and Applied Technology and Applied Technology in Faculty of Education and Sport from the University of Basque Country.

Inhaltsangabe

Part I: Data Collection Technology

1. Standarization Of Electronic Performance and Tracking Systems





2. Semi-Automatic Multiple Camera Systems

3. Global Navigation Satellite Systems





4. Local Positioning Systems





5. Microelectromechanical Systems

6. Wearables for the Internal Workload Monitoring: Combined Hear Rate and Mechanical Sensors





Part II: Data Transmission





7. Data Acquisition and Transmission





8. Real-Time Feedback: An Update





Part III: Data Processing: Performance Variables





9. Kinematical Variables





10. Collective Tactical Variables





11. Neuromuscular Variables





12. Physiological Variables - Training Impulse and Heart Rate Variability





13. Multidimensional Variables





Part IV: Big Data and Reduction Techniques





14. Big Data Applied to Team Sport Athletes´ Performance





15. Data Mining in Sports: The Case of Principal Component Analysis





Part V: Computer Vision and Machine Learning





16. Computer Vision





17. Machine Learning