Abstract
In recent years, the increasing demand for physical health promotes the basketball sports industry’s reform. The latest science and technology enter the sports industry one after another and constantly impact the traditional sports equipment. However, the conventional sports technology scheme is unreasonable, and the sports training management models are obsolete. So, it is impossible to use scientific methods in basketball training, and the overall training effect is not good. This paper proposes a basketball training algorithm using big data and the Internet of Things. The proposed algorithm uses gesture recognition from continuous video movement characteristics of key figures, trajectory characteristics, and background information fusion. It improves the recognition mechanism based on the Shuangliu C3D video basketball player action classification method. Due to the lack of a scientific exercise plan for basketball players, a training plan based on BMI and IoT-enabled big data is devised. The proposed scheme is implemented so that different basketball players customize their own scientific sports training modules.
Highlights
Basketball originated in the United States more than 100 years ago and has developed into a global sport with a large-scale and extraordinary influence
In order to improve the development of basketball, training is the key. erefore, in recent years, most of the research hotspots have been concentrated in the field of basketball training [2]
Basketball training mainly consists of four aspects: physical training, technical training, tactical training, and psychological training
Summary
Basketball originated in the United States more than 100 years ago and has developed into a global sport with a large-scale and extraordinary influence. With the continuous development and improvement of big data, the Internet of ings, and neural network technologies [10, 11], people have begun to vigorously support and accelerate the modern basketball sports intelligent training industry’s development. Erefore, it is urgent to develop a complete basketball training system based on big data and the Internet of ings [12] to create a personalized sports training platform for basketball players in line with their physique. E algorithm proposed in this paper can solve the task requirements of basketball training and some shortcomings of sports training equipment. (1) is paper proposes a novel basketball training algorithm based on big data and the Internet of ings, guiding basketball players to train by their physical strength, improve physical function, and realize the scientific and refined basketball training management.
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