Detection of Human Energy Consumption in Sports Based on MEMS Sensor

Abstract

In order to explore the problem of human energy consumption in sports, a method based on MEMS sensor is proposed. Firstly, the data of the whole system is analyzed, including acceleration signal preprocessing, data fusion between accelerometer and gyroscope using the Kalman filter method, and feature extraction. Secondly, each module and the whole system are tested, respectively. Finally, the accuracy experiment is compared with other human motion energy consumption measurement devices to verify the feasibility and superiority of the system. The experimental results show that when measuring human motion energy consumption, the average accuracy of a bracelet 1 is 87%, the average accuracy of a bracelet 2 is 88%, the average accuracy of a bracelet 3 is 96%, and the average accuracy of the system is 94%.The system has relatively high accuracy in measuring human motion energy consumption, and its algorithm is more accurate. It is proved that MEMS sensor can effectively detect human energy consumption in sports.