Exercise recommendation method based on human physiological regulation model

Abstract

The embodiment of the invention discloses an exercise recommendation method based on a human physiological regulation model. The method includes the following steps: the target heart rate of exerciseis derived according to the exercise effect target and the total exercise time set by a user, and human exercise thermal physiological state simulation calculation and human cardiovascular function state simulation calculation are carried out to get a simulation result of dynamic change of the heart rate under exercise condition; and the simulation result of heart rate change is compared with thetarget heart rate, if the simulation result of heart rate change is inconsistent with the target heart rate, the metabolic value is modified, and iterative calculation is carried out again by startingfrom human exercise thermal physiological state simulation, and if the simulation result of heart rate change is consistent with the target heart rate, an exercise scheme is output. In the embodimentof the invention, the method takes account of individual differences, environment and dressing conditions, prediction is carried out through computer simulation, and there is no need for users to wear a heart rate monitoring device in real time and make dynamical adjustment. The method is very convenient in use.

Description

technical field [0001] The invention relates to the cross technical field of computer simulation and health service, in particular to an exercise recommendation method based on a human physiological adjustment model. Background technique [0002] With the improvement of the level of economic and cultural development, people pay more and more attention to their own health and expect to improve the quality of life in an all-round way. In 2015, the United Nations Conference identified health as one of the important goals of sustainable development in the future world. Scientific research shows that being physically active not only improves health but also prevents disease. However, inappropriate exercise will not only fail to improve health, but will cause serious harm to the body. Therefore, how to scientifically formulate a reasonable exercise program to guide people to exercise to achieve the best results and avoid accidents has become a hot topic of concern. [0003] It ...

AI Technical Summary

Problems solved by technology

For the experience recommendation method, it depends on the degree of matching between the target user and the historical data, and there is no way to fully consider the individual differences and the influence of the environment on the individual movement process

For the real-time monitoring method, it can only be applied in real-time scenarios, and requires the user to dynamically adjust the exercise intensity according to the real-time heart rate, causing more troubles and inconvenience to the user during the exercise

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