AIMC Topic: Athletes
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Athlete Behavior Recognition Technology Based on Siamese-RPN Tracker Model.
Computational intelligence and neuroscience
Oct 19, 2021
With the rapid development of deep learning algorithms, it is gradually applied in UAV (Unmanned Aerial Vehicle) driving, visual recognition, target tracking, behavior recognition, and other fields. In the field of sports, many scientists put forward...
Estimation of Mechanical Power Output Employing Deep Learning on Inertial Measurement Data in Roller Ski Skating.
Sensors (Basel, Switzerland)
Sep 29, 2021
The ability to optimize power generation in sports is imperative, both for understanding and balancing training load correctly, and for optimizing competition performance. In this paper, we aim to estimate mechanical power output by employing a time-...
Sports Training System Based on Convolutional Neural Networks and Data Mining.
Computational intelligence and neuroscience
Sep 20, 2021
In recent years, China's sports industry has achieved good development, but the efficiency of athletes in the training process is difficult to have scientific guarantee. How to use scientific algorithm and data mining technology to accurately guide t...
Signal Recognition Based on APSO-RBF Neural Network to Assist Athlete's Competitive Ability Evaluation.
Computational intelligence and neuroscience
Jul 22, 2021
The advanced analysis and research methods of big data will provide theoretical support for the integration of athletes' talent training. The advanced technological methods of big data will also give full play to the advantages of tapping the potenti...
Estimating Player Positions from Padel High-Angle Videos: Accuracy Comparison of Recent Computer Vision Methods.
Sensors (Basel, Switzerland)
May 12, 2021
The estimation of player positions is key for performance analysis in sport. In this paper, we focus on image-based, single-angle, player position estimation in padel. Unlike tennis, the primary camera view in professional padel videos follows a de f...
Martial Arts Routine Training Method Based on Artificial Intelligence and Big Data of Lactate Measurement.
Journal of healthcare engineering
May 11, 2021
As a traditional Chinese sport, competitive martial arts routines have a long history. The competition rules are the unified norms and standards formulated for sports competitions. They are a yardstick for referees to judge the technical level and co...
Injury Prediction in Competitive Runners With Machine Learning.
International journal of sports physiology and performance
Apr 29, 2021
PURPOSE: Staying injury free is a major factor for success in sports. Although injuries are difficult to forecast, novel technologies and data-science applications could provide important insights. Our purpose was to use machine learning for the pred...
Footballer Action Tracking and Intervention Using Deep Learning Algorithm.
Journal of healthcare engineering
Mar 15, 2021
Fédération Internationale de Football Association is the governing body of the football world cup. The international tournament of football requires extensive training of all football players and athletes. In the training process of footballers, play...
Validation of a Machine Learning Brain Electrical Activity-Based Index to Aid in Diagnosing Concussion Among Athletes.
JAMA network open
Feb 1, 2021
IMPORTANCE: An objective, reliable indicator of the presence and severity of concussive brain injury and of the readiness for the return to activity has the potential to reduce concussion-related disability.
Relationship between training load and recovery in collegiate American football players during pre-season training.
Science & medicine in football
Dec 22, 2020
: The purpose of this study was to examine the relationship between training load and next-day recovery in collegiate American football (AF) players during pre-season.: Seventeen athletes (Linemen, n = 6; Non-linemen, n = 11) participated in the 14-d...
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