Physical exercise training assisting system collecting human body postures and implementation method thereof

Abstract

The invention discloses a physical exercise training assisting system collecting human body postures and an implementation method of the physical exercise training assisting system. The physical exercise training assisting system comprises a plurality of miniature sensor nodes, a miniature base station and a PC. The miniature sensor nodes are connected with the miniature base station in a wireless communication mode. The miniature base station is connected with the PC through an USB interface. According to the physical exercise training assisting system collecting the human body postures, due to the fact that multi-sensor fusion is applied, the accuracy of human body posture judgment is improved, and collected information is more comprehensive; due to the fact that a thermometer and an cardiotachometer are additionally arranged in the chest miniature sensor node, the body temperature and the heart rate of the human body can be reflected when the postures are collected, people can timely know the condition of body movement, a training plan which is more detailed and more specific can be conveniently made, and physical training scientific management is achieved. Each miniature sensor node is small in size and convenient to carry. Due to the fact that the miniature sensor nodes are communicated with the miniature base station in a wireless mode, the communication between the miniature sensor nodes and the base station has the advantages of being high in speed, stable and accurate.

Description

【Technical field】 [0001] The invention belongs to the technical field of rehabilitation medical protection, and in particular relates to a sports auxiliary training system for collecting human postures and an implementation method thereof. 【Background technique】 [0002] With the improvement of our country's scientific and technological level, many high technologies are widely used in sports training and sports competitions, and more and more people pay attention to the limits of human sports. Our country began to pay attention to the application of high technology in sports very early. With the advancement of world science and technology to the high-tech field and the rapid development of sports, the combination of high technology and sports is becoming more and more close. Now sports and technology are inseparable. "Science and Technology Prosperity" has become a trend. In addition, sports such as trampoline, diving and swimming have high requirements for sports details. ...

AI Technical Summary

Problems solved by technology

[0006] In the previous motion data collection, the inertial sensor only used the acceleration sensor, and then used the acceleration sensor to calculate the inclination angle, which caused a large error in the inclination angle obtained, and could not accurately reflect the movement posture of the human body. In addition, most of the sensors were Only worn on a certain part of the human body, the information collected is a certain part, and cannot reflect the movement posture of other parts of the human body

Most of the body temperature and heart rate of the human body during exercise are measured after exercise, which is inefficient and cannot understand the physical condition of athletes in real time

From the collection of front-end sensor data to the operation and analysis of the data of the back-end microcontroller, most of the carrying methods are wired. In this way, it is convenient to use the current high-speed serial or parallel bus protocol, but because the inertial measurement device is Attached to the human body, a large number of wires or cables are arranged on the device, the installation and disassembly are more complicated, the flexibility is poor, and the normal movement of the human body is affected, so this wired method is not available

[0007] For the processing of the collected information, most of them still rely on importing the data of the storage medium into Matlab for offline analysis in the later stage. This technical solution will not easily lose data, but it does not reflect real-time performance.

It is not conducive to the analysis of on-site data, and the flexibility is relatively poor

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