AIMC Topic: Athletes
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Evaluation of sports training methods and technical characteristics based on multi-dimensional driving fuzzy intelligent computing.
PloS one
Jun 2, 2025
To improve the competitive state of badminton athletes and summarize the technical characteristics of badminton players, this paper introduces multi-dimensional fuzzy removal intelligent computing. Taking 120 badminton students from a sports school a...
Comparison of lower limb kinematic and kinetic estimation during athlete jumping between markerless and marker-based motion capture systems.
Scientific reports
May 27, 2025
Markerless motion capture (ML) systems, which utilize deep learning algorithms, have significantly expanded the applications of biomechanical analysis. Jump tests are now essential tools for athlete monitoring and injury prevention. However, the vali...
Using the Language of elite athletes to predict their personality and on court transgressions.
Scientific reports
May 16, 2025
Personality is predictive of many behaviors, but personality questionnaires cannot be readily administered to persons of interest. The language people use to express themselves can often predict personality and so should, in theory, provide a surroga...
Deep learning-based recognition model of football player's technical action behavior using PCA-LBP algorithm.
Scientific reports
Apr 21, 2025
Football is a sport that requires sportsmen to have both physical strength and physical features. It must consider the distinctions between individuals and then provide targeted training. Football players can perform better on the field with targeted...
Estimating oxygen uptake in simulated team sports using machine learning models and wearable sensor data: A pilot study.
PloS one
Apr 21, 2025
Accurate assessment of training status in team sports is crucial for optimising performance and reducing injury risk. This pilot study investigates the feasibility of using machine learning (ML) models to estimate oxygen uptake (VO2) with wearable se...
Footwork recognition and trajectory tracking in track and field based on image processing.
Scientific reports
Mar 28, 2025
In track and field sports, footwork can greatly affect the effect and performance of sports. Accurate footwork can effectively improve the performance of professional athletes, and for ordinary trainers, it can reduce the probability of training inju...
Investigating the increase in the specialized performance of athletes using artificial neural network (ANN) exercises.
Scientific reports
Mar 12, 2025
Badminton, a dynamic and fast-paced racket sport, demands a unique combination of physical, technical, and cognitive abilities from its players. This study investigates the impact of a tailored core strength training program on the specialized perfor...
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...
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