A Moving Target Reasoning System Based on Multi-source Information

Abstract

The invention discloses an exercise goal reasoning system based on multi-source information. The exercise goal reasoning system based on the multi-source information is characterized by comprising a remote service platform composed of a questionnaire unit and an exercise goal reasoning unit, a health physical sign test module and an exercise ability test module. The questionnaire unit is used for collecting health information of a user, and obtaining illness, discomfort symptoms and index abnormal information checked by the user. The health physical sign test module is used for collecting test index data of health physical signs of the user and obtaining illness displayed by a health test report. The exercise ability test module is used for collecting test index data of the exercise ability of the user, and obtaining index abnormal information displayed by an exercise test report. Priority ranking is carried out on all the information, and the most preferred term in ranking results is obtained and used as an exercise goal. The exercise goal reasoning system based on the multi-source information can combine health information of the user with instrument test data to obtain the exercise goal suitable for the user, thereby guiding the user to carry out scientific, coherent, systemic and safe body building.

Description

technical field [0001] The invention relates to the field of sports and fitness, in particular to a sports goal reasoning system based on multi-source information. Background technique [0002] With the improvement of national living standards and the rapid development of the economy, people are no longer concerned only with food, clothing, housing and transportation. The demand for health and stress relief is also increasing. Health and decompression must be inseparable from exercise and fitness, and the field of exercise and fitness is also developing rapidly. develop. [0003] Although the fitness industry is gradually developing and nearly mature, there are still many problems, as follows: [0004] 1. Most of the current fitness centers focus on the training equipment, but ignore the comprehensive detection of the user's health signs and exercise ability, and the user's health assessment is also lacking in comprehensiveness. [0005] 2. The fitness guidance for users i...

AI Technical Summary

Problems solved by technology

[0004] 1. Most of the current fitness centers focus on the training equipment, while ignoring the comprehensive detection of the user's health signs and exercise ability, and the user's health assessment is also lacking in comprehensiveness

[0005] 2. The fitness guidance for users in fitness venues mainly relies on the personal experience of fitness coaches, lacks long-term planning for users' exercise goals and fitness effects, and lacks scientific and coherent fitness guidance

[0006] 3. Traditional fitness venues lack batch collection of users’ health information. Fitness coaches mostly focus on body shaping and lack a comprehensive grasp of health knowledge. Therefore, users with chronic diseases or disease history cannot be given correct fitness training. Guidance, high risk of exercise

[0007] The above problems lead to the fact that the current fitness venues are too simple and extensive to determine the user's exercise goals, lacking scientific and systematic, especially for users with chronic diseases or history of diseases, they lack a complete set of reasoning methods

Especially for individual users, the lack of complete information leads to a lack of a complete reasoning basis for moving targets, and a lack of systematic reasoning methods

Images