Validating an algorithm from a trunk-mounted wearable sensor for detecting stroke events in tennis-Reference-Cited by-同舟云学术

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Validating an algorithm from a trunk-mounted wearable sensor for detecting stroke events in tennis

Published:2022-03-23 Issue:10 Volume:40 Page:1168-1174
ISSN:0264-0414
Container-title:Journal of Sports Sciences
language:en
Short-container-title:Journal of Sports Sciences

Author:

Perri Thomas¹²,Reid Machar²,Murphy Alistair²,Howle Kieran³,Duffield Rob¹^ORCID

Affiliation:

1. School of Sport, Exercise and Rehabilitation, Faculty of Health, University of Technology Sydney, Sydney, NSW, Australia

2. Sports Science and Sports Medicine Unit, Tennis Australia, Melbourne, VIC, Australia

3. Catapult Sports, Melbourne, VIC, Australia

Funder

reported

Publisher

Informa UK Limited

Subject

Physical Therapy, Sports Therapy and Rehabilitation,Orthopedics and Sports Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/02640414.2022.2056365

Reference40 articles.

1. Review of tennis serve motion analysis and the biomechanics of three serve types with implications for injury

2. Lumbar Loading in the Elite Adolescent Tennis Serve

3. Movement characteristics of the tennis volley

4. Muscle activation during the tennis volley

5. The Validity and Reliability of Wearable Microtechnology for Intermittent Team Sports: A Systematic Review

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1. A Review of the Validity and Reliability of Accelerometer-Based Metrics From Upper Back–Mounted GNSS Player Tracking Systems for Athlete Training Load Monitoring;Journal of Strength & Conditioning Research;2024-07-08

2. E-Textiles for Sports and Fitness Sensing: Current State, Challenges, and Future Opportunities;Sensors;2024-02-06

3. Tennis serve volume, distribution and accelerometer load during training and tournaments from wearable microtechnology;International Journal of Performance Analysis in Sport;2023-12-20

4. Biomechanical estimation of tennis serve using inertial sensors: A case study;Frontiers in Sports and Active Living;2022-12-02

5. Prototype Machine Learning Algorithms from Wearable Technology to Detect Tennis Stroke and Movement Actions;Sensors;2022-11-16

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