Intelligent fitness load control system based on online adaptive prediction neural network

Abstract

The invention relates to an intelligent fitness load control system, in particular to an intelligent fitness load control system based on an on-line adaptive prediction neural network. The system comprises a static training recommendation intelligent system used for making training intensity meeting the requirements of a trainee according to the static physiological indexes, required fitness leveland training purpose of the trainee and controlling generation of a training load intensity target; and a dynamic training adjustment intelligent system used for detecting the dynamic physiological signals of the trainee in the training process and dynamically adjusting the training load of the trainee in real time according to the abnormal dynamic physiological signals of the trainee. Accordingto the invention, the technical problem on how an intelligent training system adaptively adjusts the training amount of the trainee according to the evaluation indexes is solved, the training result can adapt to the trainee to the maximum extent, and the body health of the trainee is monitored in the whole process.

Description

technical field [0001] The invention relates to an intelligent fitness load control system, in particular to an intelligent fitness load control system based on an online self-adaptive prediction neural network. Background technique [0002] In the current society, more and more people are engaged in mental work, and the number of obese people is increasing year by year. The incidence of obesity-related diseases (cardiovascular, cancer, etc.) is closely behind. People need more active exercise to reduce their own obesity index in order to maintain healthy posture. From 2010 to 2020, the number of people who regularly participate in physical exercise in my country has increased significantly, and people's awareness of fitness has been awakened. The government has also introduced various policies to vigorously support the development of the health service industry and the sports and fitness industry, promote the expansion of the fitness industry, and achieve a healthy China. ...

AI Technical Summary

Problems solved by technology

[0009] First of all, the existing technology provides users with fitness training evaluation methods and evaluation indicators. The intelligent training system cannot automatically and dynamically adjust the trainer's training volume according to the evaluation indicators, and there is no way to ensure that the trainers can truly enjoy the benefits of the evaluation indicators. training effect

Moreover, trainers need to change their own training methods and training volume by comparing the evaluation indicators. For those without fitness training knowledge, it is difficult to accurately adjust the training volume to improve the evaluation indicators

[0010] Secondly, the existing evaluation indicators are exactly the same for people of the same body type, without considering the special physique of each trainer, resulting in insufficient personalization and the inability to achieve the best exercise effect

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