Sports training monitoring system

Abstract

The invention discloses a sports training monitoring system. The sports training monitoring system comprises a video data collecting module, a vital sign collecting module, a motion state collecting module, a man-machine operating module, a data processing module, an action standard judging module, an instruction outputting module, a central processor, a three-dimensional model generating module and a physical state assessment module. According to the sports training monitoring system, video collecting is conducted by adopting panoramic video collecting, so that the video monitoring coverage is widened; the body and motion conditions of athletes are monitored through different sensors with Beidou modules, analogue simulation is conducted on monitored data through a three-dimensional model, and therefore a monitor can more comprehensively and accurately conduct monitoring and data analysis and assessment on the motion process; meanwhile, a physical condition assessment function, the standard action judging module and the instruction outputting module are achieved in the whole monitoring process, and therefore the training efficiency is greatly improved; in addition, three-dimensional putting of instructions can be conducted through the three-dimensional model generating module, and therefore convenience is brought to study of the athletes.

Description

technical field [0001] The invention relates to the field of physical training monitoring, in particular to a physical training monitoring system. Background technique [0002] Most of the existing sports training monitoring systems use cameras or humans to monitor. The entire training process is corrected through the judgment of the coach. While lacking certain pertinence, it is also impossible to collect athletes' physical conditions. Even if equipped with Portable physical training monitoring devices, but are often too heavy, or lack sufficient battery and / or processing power, to be used for extended periods of time under rigorous competition or training conditions. Furthermore, while some existing fitness monitoring devices are capable of relatively simple performance measurements, such as an individual's current heart rate or total number of steps during an activity, more advanced measurements are often not available or accurate, and the information they provide to an i...

AI Technical Summary

Problems solved by technology

[0002] Most of the existing sports training monitoring systems use cameras or humans to monitor. The entire training process is corrected through the judgment of the coach. While lacking certain pertinence, it is also impossible to collect athletes' physical conditions. Even if equipped with Portable physical training monitoring devices, but are often too heavy, or lack sufficient battery and / or processing power, to be used for extended periods of time under rigorous competition or training conditions

Furthermore, while some existing fitness monitoring devices are capable of relatively simple performance measurements, such as an individual's current heart rate or total number of steps during an activity, more advanced measurements are often not available or accurate, and the information they provide to an individual Performance feedback often does not provide quick, accurate, insightful information that allows them to easily compare with past performance, develop strategies to improve future performance, visualize performance, or select new training regimens or sports equipment

[0003] At the same time, most of the existing cameras use a single lens to collect images for monitoring. This method is limited by the field of view angle of the imaging sensor. Generally, a large number of cameras need to be placed in different scenes to cover the monitored area. This method has certain limitations. Disadvantages, one is that a large number of devices are required, and the other is that there is a large amount of redundant data

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