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- W3205622294 abstract "Based on the built-in acceleration sensor of the smart phone, this paper studies the signal data processing of the sensor in the smart phone worn by the rope skipper in the process of rope skipping into intuitive energy consumption data. For this reason, the mathematical model of the sensor signal data processing is established, and the data is compared with the data generated by the professional test instrument, so as to provide reference for the future Smart phone sensors lay the foundation for the prediction of energy consumption in various sports. Methods: 50 volunteers were selected to participate in the experiment (25 male and 25 female), 40 in the control group and 10 in the study group. 50 volunteers participated in the experiment were wearing a Huawei mobile phone and a set of gas metabolism analyzer to complete the two parts of the test; the test action was the standard rope skipping action, and different times of rope skipping per minute were set. Before the experiment, the participants must be in good health, keep calm physiological state and control variables. After that, the standard rope skipping for five minutes is carried out, and the signal received by the sensor on the mobile phone is analyzed and generated by the test software and instrument, and the prediction equation with the age, height and weight of the tested person as the independent variable is established. The purpose is to explore and analyze the different prediction of energy consumption of rope skipping by different sensors on smart phones, and the rope skipping frequency is more effective for energy consumption under different frequencies per minute." @default.
- W3205622294 created "2021-10-25" @default.
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- W3205622294 date "2021-09-01" @default.
- W3205622294 modified "2023-09-26" @default.
- W3205622294 title "Prediction Method of Rope Skipping Energy Consumption Based on Smart Phone Sensor" @default.
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- W3205622294 doi "https://doi.org/10.1088/1742-6596/2037/1/012125" @default.
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