AIMC Topic: Racquet Sports

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Verification and application of deep learning models in daily sports activities of teenagers.

PloS one
With the development of smart wearable devices and deep learning (DL) technology, the monitoring and analysis of daily sports activities of teenagers face new opportunities. At present, traditional CNN (Convolutional Neural Network) models are mostly...

Evaluation of sports training methods and technical characteristics based on multi-dimensional driving fuzzy intelligent computing.

PloS one
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...

Design and Development of a Public AI Referee Assistance System Based on Harmony OS Platform.

Sensors (Basel, Switzerland)
The Hawkeye system was regarded as a successful and effective referee assistant in commercial applications. However, the high hardware investment and strong professionalism set up a physical hurdle in public application. In this sense, one AI referee...

Predicting badminton outcomes through machine learning and technical action frequencies.

Scientific reports
The application of machine learning techniques to predict badminton match outcomes through the analysis of technical actions seems to represent an area that has not yet been extensively investigated within the existing body of research. This study ai...

Investigating the increase in the specialized performance of athletes using artificial neural network (ANN) exercises.

Scientific reports
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...

Prediction model and technical and tactical decision analysis of women's badminton singles based on machine learning.

PloS one
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...

The Application of Wireless Network-Based Artificial Intelligence Robots in Badminton Teaching and Training.

Computational intelligence and neuroscience
Artificial intelligence technology has already set its foot in various industries, including sports, to train athletes. In this research article, people will study the application of wireless networks based on artificial intelligence robots in badmin...

Experimental Research on Badminton Teaching of Physical Education Major Based on Deep Learning in the Multimedia Environment.

Computational intelligence and neuroscience
There are many problems in the routine badminton teaching; there are mainly three aspects in college teaching. One is that the hardware equipment related to badminton is not enough; the second is that the badminton teaching does not meet the educatio...

Analysis of Winning Experience and Technical Training Effect of Badminton Match Based on BP Neural Network.

Journal of healthcare engineering
The success or failure of badminton competition often depends on the training level of technical, physical, tactical, and psychological quality, as well as the competitive ability to comprehensively use these factors in the competition. Aiming at the...

Evaluation of Open-Source and Pre-Trained Deep Convolutional Neural Networks Suitable for Player Detection and Motion Analysis in Squash.

Sensors (Basel, Switzerland)
In sport science, athlete tracking and motion analysis are essential for monitoring and optimizing training programs, with the goal of increasing success in competition and preventing injury. At present, contact-free, camera-based, multi-athlete dete...