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Racquet Sports

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Complementing subjective with objective data in analysing expertise: A machine-learning approach applied to badminton.

Journal of sports sciences
This study aimed to assess which combination of subjective and empirical data might help to identify the expertise level. A group of 10 expert coaches classified 40 participants in 5 different expertise groups based on the video footage of the rallie...

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...

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...

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...

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...