Abstract
The purpose of the article is to analyze temporary changes in human gait, the parameters of which are recorded using the accelerometer of a mobile phone in everyday use. The work presents trends in the field of personalized medicine and monitoring the health of employees in the manufacturing sector based on wearable and mobile devices. The features of collecting and processing data on a person’s gait using a mobile phone are presented, which act as a comprehensive assessment of human health parameters. The results of a year-long research of changes in human gait are presented. Daily, weekly and annual trends are identified. The research analyzed mobile phone accelerometer time series representing double steps during gait. When constructing trends, the maximum value of the cross-correlation function of data segments was used. Data segmentation was carried out according to the length of the double step. Based on the results of the research, an assumption is made about the possibility of recording individual characteristics of the functioning of the human musculoskeletal system using a mobile phone and conducting further research in order to accumulate statistical material and identify the relationship between a person’s lifestyle and changes in gait parameters.
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