Тhe choice of a model predicting the individual person's walking loads

Keywords: walking, pedometer, step prediction, winsorizing, SMA, ARIMA, EWMA.


The modern world is faced with the problem of insufficient physical and motor activity of a person, or physical inactivity. This issue is especially relevant now in connection with the Covid-19 pandemic and the forced transition to remote work and study. Modern man in the conditions of the currently popular sedentary work moves very little. The simplest method of increasing human motor activity is walking. The work is devoted to solving the problem of predicting the number of steps for a person, taking into account his characteristics and previous indicators. The article provides an analysis of publications to determine the required number of steps. The process of preliminary processing of real data is described. Three forecasting methods have been selected for modeling in the work: seasonal moving average (SMA), the exponentially weighted moving average (EWMA), and the autoregressive integrated moving average (ARIMA). The methods used in the work will allow finding the best method for predicting the number of future steps of a person.


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How to Cite
Serdiuk К., & Piatykop О. (2021). Тhe choice of a model predicting the individual person’s walking loads. COMPUTER-INTEGRATED TECHNOLOGIES: EDUCATION, SCIENCE, PRODUCTION, (44), 60-65. https://doi.org/10.36910/6775-2524-0560-2021-44-10