This paper describes an algorithm for extracting human gait movements in data obtained from accelerometer sensors of a mobile phone. provided that the mobile phone is used in the usual mode. The algorithm also performs a classification of the selected movements based on a feed-forward neural network. The developed algorithm selects the best areas in the accelerometer data. https://www.bekindtopets.com/great-choice-Stable-SuperFork-Muck-Fork-Replacement-Heads-special-save/
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