Research on real-time data acquisition method for sports training based on wearable equipment
In order to analyze the effect of sports training in real time and improve the output balance of data acquisition,a real-time data acquisition method for sports training based on wearable devices was proposed.The multi-sensor node information fusion method is adopted for real-time data fusion of sports training,the oscillation characteristics of real-time data output of sports training wearable devices are analyzed under different movement frequencies,and the amplitude analysis and quantitative fusion tracking and recognition of real-time data acquisition process of sports training wearable devices are carried out according to the peak measurement method.The feature extraction model of real-time data of sports training wearable devices is established,and the fusion processing af-ter data acquisition of sports training wearable devices is carried out in the Internet of Things environment,so as to realize online de-tection and output control of data.The simulation results show that the output balance of real-time data acquisition in sports training using this method is good,and the accuracy of data acquisition is close to 1.The amplitude of the proposed method fluctuates between-1 and 1,and the output bit error rate of the proposed method is 10-3 when the frequency offset is 0Hz and there is no single fre-quency interference.When the interference frequency is 2 000 kHz,it can reach 40 dB,which improves the ability of analyzing and sorting the real-time data of sports training.
万方数据
维普
