Community fitness activity recommendation method based on group portraits

Abstract

The invention provides a community fitness activity recommendation method based on group portraits, which comprises the following steps: (1) constructing personalized community portraits for modeling representation of user health data; (2) constructing a professional health knowledge base for collecting, representing and storing professional fitness and health knowledge; and (3) generating a group user fitness scheme based on the target group portrait and the professional fitness health knowledge base. According to the invention, the problems of high fitness cost, low coverage rate, poor individual fitness enthusiasm and the like of a gymnasium are solved, the scheme design is reasonable, the nationwide fitness cost is reduced, and the scientificity and intelligent fitness effect of nationwide fitness are improved.

Description

technical field [0001] The invention relates to a fitness medical research method, in particular to a community fitness activity recommendation method based on group portraits. Background technique [0002] In order to keep healthy, people often take exercises in various ways. For ordinary people, a group approach full of motivation and passion can achieve better exercise results. [0003] At present, there are endless personal fitness equipment and recommendation schemes on the market, such as using image recognition, health data (heart rate / exercise rate, etc.) . [0004] However, the inventors have found that at least the following problems exist in the fitness program in practice: personal fitness is often restricted by insufficient sports ground equipment, insufficient self-control, and lack of relative professional guidance; and the high price of fitness equipment makes personal fitness always only a few people Getting involved, can not achieve the goal of populariz...

AI Technical Summary

Problems solved by technology

[0005] The invention provides a method for recommending community fitness activities based on group portraits, which solves the problems of high gym fitness costs, low coverage and poor individual fitness enthusiasm, and aims to improve the frequency and quality of national fitness and improve the average physical and mental health of the whole people Index, the technical scheme of which is as follows:

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