System and method for large-scale movement data acquisition

Abstract

The invention relates to a system and a method for large-scale movement data acquisition. The system is characterized in that the system comprises physical activity monitoring terminals, a data acquisition and monitoring system and a data processing server. The physical activity monitoring terminals are connected to the data acquisition and monitoring system by a ZigBee wireless network. The data acquisition and monitoring system is connected to the data processing server by a wired network. The system and the method realize multi-parameter output of the physical activity monitoring terminals, avoid acquisition of a single parameter, provide data support for large-scale population sport health data analysis, realize low device power consumption based on a dynamic-static combined power detection and prompting module, realize large-scale short-time bulk data acquisition, and improve a data transmission amount of a ZigBee network.

Description

[0001] technical field [0002] The present invention relates to a large-scale exercise data collection system, especially a physical activity collection system for large-scale crowds, in particular to a large-scale exercise health data collection system and collection method realized by using ZigBee wireless communication technology. Background technique [0003] A large number of scientific studies have proved that the health status of each person is directly related to his personal physical activity. Scientific and effective physical exercise can improve balance, reaction and coordination. Regular participation in sports can enhance people's physique, and a sound spirit comes from health. body of. [0004] Physical exercise can promote the physical, intellectual and psychological development and growth of adolescents. Scientific exercise can also prevent, improve and treat chronic diseases of adolescents. The health status of adolescents is directly related to their physi...

AI Technical Summary

Problems solved by technology

However, the human body movement parameters reflected by these products are relatively simple, and it is impossible to judge the user's physical health status through a single movement parameter.

In addition, the existing human motion collection devices on the market cannot meet the characteristics of campus groups or large-scale enterprise groups, and it is difficult to achieve unified collection and management of sports health data for large-scale groups

[0006] In the existing technology, in order to meet the needs of large-scale crowds such as campus youth sports health data collection, the relevant products and technologies in the current market mainly have the following deficiencies: 1) There is a lack of sports monitoring devices for large-scale crowds such as teenagers and students; 2) The collection parameters of the motion collection terminal are single; 3) The gesture recognition of the motion collection terminal is single; 4) The motion collection terminal cannot continuously monitor and record the user's motion state for a long time; 5) It cannot meet the automatic upload of motion data; 6) Lack of The function that large-scale motion data is collected simultaneously

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