AIMC Topic: Athletes
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Table tennis coaching system based on a multimodal large language model with a table tennis knowledge base.
PloS one
Feb 13, 2025
UNLABELLED: Table tennis is one of the most popular sports in the world, and it plays a positive role in the overall development of people's physical and mental health. This study develops an AI table tennis coaching system using a Multimodal Large L...
The machine learning algorithm based on decision tree optimization for pattern recognition in track and field sports.
PloS one
Feb 13, 2025
This study aims to solve the problems of insufficient accuracy and low efficiency of the existing methods in sprint pattern recognition to optimize the training and competition strategies of athletes. Firstly, the data collected in this study come fr...
Use of AI methods to assessment of lower limb peak torque in deaf and hearing football players group.
Acta of bioengineering and biomechanics
Jan 27, 2025
Monitoring and assessing the level of lower limb motor skills using the Biodex System plays an important role in the training of football players and in post-traumatic rehabilitation. The aim of this study was to build and test an artificial intelli...
A machine learning model the prediction of athlete engagement based on cohesion, passion and mental toughness.
Scientific reports
Jan 25, 2025
Athlete engagement is influenced by several factors, including cohesion, passion and mental toughness. Machine learning methods are frequently employed to construct predictive models as a result of their high efficiency. In order to comprehend the ef...
Estimation of Forces and Powers in Ergometer and Scull Rowing Based on Long Short-Term Memory Neural Networks.
Sensors (Basel, Switzerland)
Jan 6, 2025
Analyzing performance in rowing, e.g., analyzing force and power output profiles produced either on ergometer or on boat, is a priority for trainers and athletes. The current state-of-the-art methodologies for rowing performance analysis involve the ...
Object detection in motion management scenarios based on deep learning.
PloS one
Jan 3, 2025
In athletes' competitions and daily training, in order to further strengthen the athletes' sports level, it is usually necessary to analyze the athletes' sports actions at a specific moment, in which it is especially important to quickly and accurate...
Explainable quality assessment of effective aligned skeletal representations for martial arts movements by multi-machine learning decisions.
Scientific reports
Jan 2, 2025
How to utilize modern technological means to provide both accurate scoring and objective feedback for martial arts movements has become an issue that needs to be addressed in the field of physical education. This study proposes an intelligent scoring...
The factors affecting aerobics athletes' performance using artificial intelligence neural networks with sports nutrition assistance.
Scientific reports
Nov 28, 2024
This work aims to comprehensively explore the influencing factors of aerobics athletes' performance by integrating sports nutrition assistance and artificial intelligence neural networks. First, a personalized assessment and analysis of athletes' nut...
Prediction model and technical and tactical decision analysis of women's badminton singles based on machine learning.
PloS one
Nov 14, 2024
In the Paris Olympic cycle, South Korean women's athlete An Se-young rose to the top of the 2023 BWF Olympic points with a win rate of 89.5%. With An Se-young as the subject, this paper aims to carry out technical and tactical analysis of women's bad...
A detailed analysis of game statistics of professional tennis players: An inferential and machine learning approach.
PloS one
Nov 5, 2024
Tennis, a widely enjoyed sport, motivates athletes and coaches to optimize training for competitive success. This retrospective predictive study examines anthropometric features and statistics of 1990 tennis players in the 2022 season, using 20,040 d...
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