AIMC Topic: Athletes
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A Machine-Learning-Based Medical Imaging Fast Recognition of Injury Mechanism for Athletes of Winter Sports.
Frontiers in public health
Mar 17, 2022
The Beijing 2022 Winter Olympics will begin soon, which is mainly focused on winter sports. Athletes from different countries will arrive in Beijing one after another for training and competition. The health protection of athletes of winter sports is...
Motion Fatigue State Detection Based on Neural Networks.
Computational intelligence and neuroscience
Mar 15, 2022
Aiming at the problem of fatigue state detection at the back of sports, a cascade deep learning detection system structure is designed, and a convolutional neural network fatigue state detection model based on multiscale pooling is proposed. Firstly,...
Sports Training Strategies and Interactive Control Methods Based on Neural Network Models.
Computational intelligence and neuroscience
Mar 7, 2022
Sports training strategies should be combined with science and technology to design the most suitable coaching strategies for athletes. In the current 5G Internet of Everything, the collection of wireless sensors and the deep learning of neural netwo...
A Study of Feature Construction Based on Least Squares and RBF Neural Networks in Sports Training Behaviour Prediction.
Computational intelligence and neuroscience
Mar 7, 2022
This paper examines the problem of athletes' training in sports, exploring the methods and means by which athletes can perform difficult movements in which they normally make minor training errors in order to achieve better competition results and pl...
Explaining the differences of gait patterns between high and low-mileage runners with machine learning.
Scientific reports
Feb 22, 2022
Running gait patterns have implications for revealing the causes of injuries between higher-mileage runners and low-mileage runners. However, there is limited research on the possible relationships between running gait patterns and weekly running mil...
Deep Learning and Improved HMM Training Algorithm and Its Analysis in Facial Expression Recognition of Sports Athletes.
Computational intelligence and neuroscience
Jan 18, 2022
Facial expressions are an auxiliary embodiment of information conveyed in the communication between people. Facial expressions can not only convey the semantic information that people want to express but also convey the emotional state of the speaker...
Research on Athlete Behavior Recognition Technology in Sports Teaching Video Based on Deep Neural Network.
Computational intelligence and neuroscience
Jan 5, 2022
In recent years, due to the simple design idea and good recognition effect, deep learning method has attracted more and more researchers' attention in computer vision tasks. Aiming at the problem of athlete behavior recognition in mass sports teachin...
A Study of Athlete Pose Estimation Techniques in Sports Game Videos Combining Multiresidual Module Convolutional Neural Networks.
Computational intelligence and neuroscience
Dec 28, 2021
In this paper, we propose a multiresidual module convolutional neural network-based method for athlete pose estimation in sports game videos. The network firstly designs an improved residual module based on the traditional residual module. Firstly, a...
Hydration Status and Fluid Replacement Strategies of High-Performance Adolescent Athletes: An Application of Machine Learning to Distinguish Hydration Characteristics.
Nutrients
Nov 15, 2021
There are limited data on the fluid balance characteristics and fluid replenishment behaviors of high-performance adolescent athletes. The heterogeneity of hydration status and practices of adolescent athletes warrant efficient approaches to individu...
Adaptive Athlete Training Plan Generation: An intelligent control systems approach.
Journal of science and medicine in sport
Oct 24, 2021
OBJECTIVES: The planning and control of team sport training activities is an extremely important aspect of athletic development and team performance. This research introduces a novel system which leverages techniques from the fields of control system...
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