Eight-section brocade training motion track acquisition device and analysis method adopted by same

Abstract

The invention relates to an eight-section brocade training motion track acquisition device and an analysis method adopted by the eight-section brocade training motion track acquisition device. The eight-section brocade training motion track acquisition device comprises a strip-shaped binding belt used for being fixed on the body, as well as a micro-control unit (MCU), a six-axis sensor, a FLASH memory, a heart rate sensor, a blood oxygen sensor, a system power supply, a charging circuit and a communication interface which are arranged inside the strip-shaped binding belt, wherein the six-axis sensor transmits collected movement track data to the micro-control unit (MCU) in the signal form, the heart rate sensor and the blood oxygen sensor are used for transmitting collected heart rate data and blood oxygen content data to the micro-control unit (MCU) in the signal form, the movement track data, the heart rate data and the blood oxygen content data are stored in the FLASH memory after being processed by the micro-control unit (MCU), and the system power supply and the charging circuit are respectively connected with a power supply end and a charging end of the micro-control unit (MCU). The device and the method have the beneficial effects that the motion track can be dynamically collected in real time, the precision and high efficiency can be achieved, the motion track can be compared with a standard movement curve, and correcting and grading can be automatically carried out.

Description

technical field [0001] The invention relates to a Baduanjin training movement trajectory acquisition device and an analysis method thereof, belonging to the field of sports equipment. Background technique [0002] With the aging of the society, more and more elderly people begin to pay attention to physical exercise. Baduanjin is composed of eight sub-movements. It is easy to learn and the movements are soothing. It is suitable for the elderly to learn and exercise. However, it is difficult for the elderly to concentrate on learning. Often during the exercise process, the individual movements vary greatly, and the expected training effect cannot be achieved. [0003] Currently, there are several ways to collect training trajectory: [0004] 1. Ordinary wristband: adopts low-speed acquisition technology, which can collect the number and duration of movements, but cannot reflect the degree of movement. [0005] 2. The method of collecting image processing and recording the a...

AI Technical Summary

Problems solved by technology

[0004] 1. Ordinary wristband: adopts low-speed acquisition technology, which can collect the number and duration of movements, but cannot reflect the degree of movement

[0005] 2. The method of collecting image processing and recording the actions can reflect the actual situation of the training, but the amount of data generated is large, and it is basically unrealistic to record all the videos for each training

[0006] 3. In the past, it was necessary to manually analyze the curve and make an evaluation, which was time-consuming and laborious and could not be accurate

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