Rope skipping counting table based on vibration waveforms and counting method

Abstract

The invention discloses a rope skipping counting table based on vibration waveforms and a counting method. The rope skipping counting table comprises a microprocessor module, a vibration sensing module, a man-machine interaction module, a communication and interface module, a power module, a test table, an OLED module and a Bluetooth module. The method comprises the following steps: 1, acquiring atime domain sequence of a vibration signal through taking time as an independent variable of a measured vibration signal, 2, performing fast Fourier transform on the time domain sequence of the vibration signal to obtain frequency domain data of the vibration signal, 3, calculating a cross correlation coefficient of the vibration signal frequency domain data obtained in real time and a rope skipping vibration frequency domain data template recorded in advance, and 4, when the cross correlation coefficient is larger than a threshold value, increasing a rope skipping counting value, and when the time interval between two adjacent times of counting is less than 0.2s, keeping the rope skipping counting value.

Description

technical field [0001] The invention relates to the technical field of motion counting, in particular to a rope skipping counting platform and a counting method based on vibration waveforms. Background technique [0002] As sports and fitness go deep into people's lives, fitness equipment is becoming more and more humanized. As a way of fitness, rope skipping has been widely recognized by people. There are many ways to count rope skipping, such as using mobile phones and other video equipment to record audio, The cross-correlation coefficient method is used to calculate the cross-correlation coefficient for the time-domain waveform of the audio. However, in actual use, on the one hand, most of the jumping rope counting environments are noisy environments such as playgrounds and gymnasiums. Noise submersion causes inaccurate counting; on the other hand, the patent calculates the cross-correlation coefficient for the time-domain signal of the sound, but in fact the main featur...

AI Technical Summary

Problems solved by technology

[0002] As sports and fitness go deep into people's lives, fitness equipment is becoming more and more humanized. As a way of fitness, rope skipping has been widely recognized by people. There are many ways to count rope skipping, such as using mobile phones and other video equipment to record audio, The cross-correlation coefficient method is used to calculate the cross-correlation coefficient for the time-domain waveform of the audio. However, in actual use, on the one hand, most of the jumping rope counting environments are noisy environments such as playgrounds and gymnasiums. Noise submersion causes inaccurate counting; on the other hand, the patent calculates the cross-correlation coefficient for the time-domain signal of the sound, but in fact the main feature of the sound waveform of different objects colliding is its frequency-domain feature, so the number of skipping ropes counted by this method not effectively

There is also fast Fourier transform (FFT) denoising of the audio recorded during the rope skipping process, and then the number of pulse extreme points is counted as the number of rope skipping, but there is also a lot of noise interference in the use site, and the noise amplitude may exceed the rope skipping collision sound situation, and this method directly counts the number of collision sound extreme points, it may not be possible to distinguish between skipping rope and noise, resulting in inaccurate counting

There is also a touch switch to count the number of skipping ropes, counting the number of times the feet kick the ground to count the number of skipping ropes, but in actual use, there may be many ways of skipping ropes, such as the common way of pushing both feet on the ground at the same time and alternately pedaling with left and right feet If the method of measuring the pressure value is adopted uniformly, it may not be possible to distinguish these different skipping methods, resulting in inaccurate counting

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