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Athletes

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Analysis of Basketball Technical Movements Based on Human-Computer Interaction with Deep Learning.

Computational intelligence and neuroscience
With the continuous development of computer technology, analysis techniques based on various types of sports data sets are also evolving. One typical representative is image-based motion recognition technology, which enables video action recognition ...

Key Feature Extraction Method of Electroencephalogram Signal by Independent Component Analysis for Athlete Selection and Training.

Computational intelligence and neuroscience
Emotion is an important expression generated by human beings to external stimuli in the process of interaction with the external environment. It affects all aspects of our lives all the time. Accurate identification of human emotional states and furt...

Rehabilitation Treatment of Muscle Strain in Athlete Training under Intelligent Intervention.

Computational and mathematical methods in medicine
With the development of artificial intelligence technology in the medical field, clinical trials using artificial intelligence as an intervention method are constantly emerging. This article mainly introduces the intervention of artificial intelligen...

A Machine-Learning-Based Medical Imaging Fast Recognition of Injury Mechanism for Athletes of Winter Sports.

Frontiers in public health
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...

A Deep Learning and Clustering Extraction Mechanism for Recognizing the Actions of Athletes in Sports.

Computational intelligence and neuroscience
In sports, the essence of a complete technical action is a complete information structure pattern and the athlete's judgment of the action is actually the identification of the movement information structure pattern. Action recognition refers to the ...

Motion Fatigue State Detection Based on Neural Networks.

Computational intelligence and neuroscience
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
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
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...

Research on Athlete Behavior Recognition Technology in Sports Teaching Video Based on Deep Neural Network.

Computational intelligence and neuroscience
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...

Explaining the differences of gait patterns between high and low-mileage runners with machine learning.

Scientific reports
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...