Training method for PE examination training
A training method and sports technology, applied in the direction of instruments, character and pattern recognition, data processing applications, etc., can solve the problems of reducing training efficiency, inability to individualize training, injury, etc., and achieve the effect of improving training efficiency
Pending Publication Date: 2021-11-02
WUHU INST OF TECH
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Problems solved by technology
[0002] At present, the methods of sports training for the middle school and college entrance examinations are basically a large number of single training methods offline, while basically ignoring the auxiliary training methods related to the integration of technology such as online sports big data analysis, user portraits, and physical function tests.
Therefore, it is not possible to conduct personalized training for each student, find out their own shortcomings, and check for gaps, so that some students cannot adapt to this single training method and cannot meet the training needs of students.
At the same time, students are also bored by traditional training methods, and may even be injured due to overtraining
[0003] Each student's physical fitness is different, there is no targeted training, and the training effect for some students is different
However, the school has limited physical education teachers, and targeted training needs to consume a lot of teachers and venue resources; moreover, physical education teachers and students will experience fatigue during long-term training, which seriously reduces training efficiency and cannot ensure training efficiency
Method used
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[0018] In order to make the purpose, technical solutions and advantages of the present disclosure clearer, the present invention will be further described in detail below in conjunction with specific embodiments.
[0019] In order to achieve the above-mentioned purpose of the invention, the present invention provides a method for training and cultivating physical examinations based on big data. The specific steps include:
[0020] 1. The S100 obtains the original data of the user's movement on the online mobile APP through data collection and imports the original data into the cloud database.
[0021] 2. The S200 then collects the user's sports preferences and favorite sports types through operations such as cleaning, extracting, and analyzing the original data, and then conducts behavior modeling based on the user's basic data and using technical means (data mining, prediction algorithms, clustering algorithm, etc.), to conduct a preliminary user portrait of the user.
[002...
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The invention discloses a training method for PE examination training. The method comprises the following steps: acquiring user motion original data on an online mobile terminal APP through data acquisition, and importing the original data into a cloud database; and performing cleaning, extraction, analysis and other operations on the original data to perform preliminary user portraying on a user. According to the method, a personalized training scheme is provided for the user in combination with a big data analysis result according to a exercise matching speed, habits and the like of the user, and actions are corrected for the user. Motion big data analysis is performed on the user through daily motion data of each user, physical state data of the user before exercise, during exercise and after exercise is collected and stored persistently, and finally, the personalized training scheme is provided for the user through big data analysis, and the training efficiency of the user is improved.
Description
technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a training method for smart sports training for middle school and college entrance examinations. Background technique [0002] At present, the methods of sports training for the middle school and college entrance examinations are basically a large number of single training methods offline, while basically ignoring the auxiliary training methods related to the integration of technology such as online sports big data analysis, user portraits, and physical function tests. Therefore, it is not possible to conduct personalized training for each student, find their own shortcomings, and check for omissions. As a result, some students cannot adapt to this single training method and cannot meet the training needs of students. At the same time, students are also bored by traditional training methods, and may even suffer injuries due to overtraining. [0003] Each student'...
Claims
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Login to View More IPC IPC(8): G06Q50/20G06K9/62
CPCG06Q50/2057G06F18/23213
Inventor 秦轶群张俊田泽宇王光琪刁杰明程正熙骆磊
Owner WUHU INST OF TECH