RETRACTED: Data monitoring of athlete physical training based on FPGA processing system and machine vision (Retracted Article)

被引:3
作者
Xiao, Li [1 ]
机构
[1] Xinyang Normal Univ, Phys Culture Inst, Xinyang 464000, Henan, Peoples R China
关键词
IoT; FPGA; Sports; Data fusion methodology; Frequency;
D O I
10.1016/j.micpro.2021.103875
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Things get a consistent smart gadget consistent with manufacturing, increase alertness, and consistent response is beneficial. An incredible model has an edge and rebounding vibration sensor. This will allow players to continually change their shots and input an error on their specific point and direction. This is not a chance, which provides the necessary makeup / Miss Capture clear images. Another innovative use of an accelerometer equivalent, which is a Field Programmable Gate Array (FPGA) wrist strap. This allows you to measure the ball's speed, leaving it to the second and moving hand. It works with shooting motion minor contacts to help players by shooting. A competitor source of information is usually different sensors (e.g., accelerometer or gyrator). Onestep preparation of submitted start information from other sources is the combination information. The report provides a new method for measuring the combined preparation movement to ensure relevant information and prepare and investigate the game. To confirm the communication method's effectiveness, the goal plan is to frame education courses for tennis players in the investigation. The frame's primary function is found, and the travel depends on a tennis wear sensor assembly information packet from the wrist. Location and characteristics of tennis strokes can reduce the amount of spending time tutor students to find information. Self-entertainment athletes can take advantage of these functional advantages and the proposed method of determining and using the vector elements to create a Mel-frequency coefficient from Cestrum acceleration information.
引用
收藏
页数:6
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