Continuous dynamic movement and physiological data processing and analyzing system and method

Abstract

The invention provides a continuous dynamic movement and physiological data processing and analyzing system and method. The system comprises a movement big data preprocessing module, a continuous dynamic data feature acquisition module, a behavior recognition module, a behavior evaluation module, a scheme formulation module and an online and real-time intervention module, wherein the movement bigdata preprocessing module collects movement and physiological data and carries out preprocessing; the continuous dynamic data feature acquisition module extracts distribution features from the movement data; the behavior recognition module is used for building a movement model based on the distribution features and carrying out behavior recognition; the behavior evaluation module calculates the evaluation value of a movement behavior for the movement data; the scheme formulation module sets a movement data target scheme; a motion persistence monitoring module calculates the execution degree and the evaluation value of the execution degree based on the new data executed in the scheme; and the online and real-time intervention module resets the motion data target scheme based on the evaluation value of the execution degree. The technical scheme of the invention sets the new motion and physiological data processing method and a key quantity for measurement, is applicable to real-time processing and information feedback for massive motion data and improves the user experience.

Description

technical field [0001] The invention relates to a method and system for processing and analyzing human motion data based on big data, and in particular to a processing and analysis based on continuous dynamic motion data and physiological data with certain persistence. Background technique [0002] Chronic diseases such as diabetes, hypertension, coronary heart disease, and tumors are increasing year by year, and have seriously threatened human life and health. In 2013, my country's total health expenditure exceeded 3 trillion yuan, and the average growth rate in the past three years reached 13.2%, which was 1.62 times the GDP growth rate in the same period. Although the Ministry of Health and other departments have invested a lot of manpower and funds, the treatment effect is not ideal. This "passive medical treatment" concept of post-illness treatment can only lead to more and more patients and higher costs. Therefore, jumping out of the terminal governance limitation of...

AI Technical Summary

Problems solved by technology

It can be seen that, first of all, the traditional method does not give the basic law and mechanism of exercise to promote health, but through indirect proof; secondly, the time interval for judging indirect indicators is often relatively long, and most of them cannot wait until the next observation gave up the exercise plan; of course, due to the slow change of indirect indicators, it is impossible to give rapid feedback on fitness behavior in real time

[0007] For problem (3), in the traditional fitness science system, there is no mature method for exercise persistence, and most of them stay at the stage of theoretical discussion and problem description, lack of data research on the quantification of exercise behavior, and lack of effective technical method implementation

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