Abstract
The article presents an algorithm for automatic determination of steps and individual phases of human gait based on data from an inertial sensor. To obtain the necessary data, measurements were made using Xsens inertial sensors from the MTw Awinda set. Changes in the feet rotation angles during gait and acceleration data were investigated. After a thorough analysis of the data, an algorithm for determining the step phases was implemented, based on which an application was created for automatically dividing gait into steps and steps into individual phases, which allows later analysis of gait parameters, e.g. for medical diagnosis. The main function of the application is a graphical presentation of the algorithm’s operation, by generating a graph of data along with the selected step phases.
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Herasymenko, S., Bieńkowski, P., Kopniak, P. (2019). The Algorithm for Automatic Determination of Human Step Phases. In: Hanus, R., Mazur, D., Kreischer, C. (eds) Methods and Techniques of Signal Processing in Physical Measurements. MSM 2018. Lecture Notes in Electrical Engineering, vol 548. Springer, Cham. https://doi.org/10.1007/978-3-030-11187-8_8
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DOI: https://doi.org/10.1007/978-3-030-11187-8_8
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