Тhe choice of a model predicting the individual person's walking loads
Abstract
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.
References
Health Department: Physical inactivity: what can lack of physical activity lead to?
URL: http://www.medycyna.sm.gov.ua/
index.php/uk/1207-gdhg
Physical activity. URL: https://www.who.int/news-room/fact-sheets/detail/physical-activity
Tudor-Locke, C., Craig, C.L., Brown, W.J. et al. (2011) How many steps/day are enough? for adults. Int J Behav Nutr Phys Act 8, 79.
Tudor-Locke C, Bassett Jr. DR. (2004) How many steps/day are enough? Preliminary pedometer indices for public health. Sports Med. 34 (1): 1–8.
Timothy K. Behrens and Mary K. Dinger (2005) American Journal of Health Education. 36 (4): 221-227.
Silvia Arribas Galagarra, Fátima Chacón-Borrego, Lzaskun Luis de Cos and Jose J. Muros Molina Int. J. Environ. (2021) Res. Public Health, 18(9), 4641.
White DK, Tudor-Locke C, Zhang Y, Fielding R, LaValley M, Felson DT, et al. (2014) Daily walking and the risk of incident functional limitation in kneeosteoarthritis: an observational study. Arthritis Care Res (Hoboken); 66(9):1328–36.
Hallam, K.T., Bilsborough, S. & de Courten, M. (2018) “Happy feet”: evaluating the benefits of a 100-day 10,000 step challenge on mental health and wellbeing. BMC Psychiatry 18, 19.
Lee I, Shiroma EJ, Kamada M, Bassett DR, Matthews CE, Buring JE. (2019) Association of Step Volume and Intensity WithAll-Cause Mortality in Older Women. JAMA Intern Med;179(8):1105.
Kerner, C.; Goodyear, V.A. (2017) The motivational impact of wearable healthy lifestyle technologies: A self-determination perspectiveon Fitbits with adolescents. Am. J. Health Educ. 48, 287–297.
Baker G, Mutrie N, Lowry R. (2008) Using pedometers as motivational tools: aregoals set in steps more effective than goals set in minutes for increasingwalking? Int J Health Promot Educ. 46:21–6.
Extract Health Data From Your Samsung Device / URL: https://towardsdatascience.com/extract-health-data-from-your-samsung-96b8a2e31978
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