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2021 | OriginalPaper | Chapter

On Selection and Extraction of Biometric Features of Human Motor Activity from Data Obtained from Inertial Measurement Units

Author : G. A. Fofanov

Published in: Innovations in Information and Communication Technologies (IICT-2020)

Publisher: Springer International Publishing

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Abstract

The article describes a part of implementation of the project, the purpose of which is to create a universal system for the recognition and analysis of human motor activity, based on inertial measurement units. Analysis of biometric features was conducted, and most informative and universal features that uniquely describe movements performed by a person in the course of everyday activity were identified. A method for identifying features using microelectromechanical inertial measuring units was proposed. A method for the formation of training examples for hybrid artificial neural networks was proposed. The classification of features depending on the dynamics and cyclicity was proposed. A method for automated feature extraction based on data threshold separation was proposed.

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Title: On Selection and Extraction of Biometric Features of Human Motor Activity from Data Obtained from Inertial Measurement Units
Author: G. A. Fofanov
Publisher: Springer International Publishing
Book: Innovations in Information and Communication Technologies (IICT-2020)
Print ISBN: 978-3-030-66217-2

Electronic ISBN: 978-3-030-66218-9

Copyright Year: 2021
DOI: https://doi.org/10.1007/978-3-030-66218-9_43

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