Determining the dependence of step periods on the speed of an individual over 15 years old
- Authors: Kosukhina O.I.1, Fomina E.E.2, Leonov S.V.1,3
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Affiliations:
- Moscow State University of Medicine and Dentistry named after A.I. Evdokimov
- Tver State Technical University
- Chief State Center for Forensic Medicine and Forensic Expertise 111
- Issue: Vol 9, No 3 (2023)
- Pages: 279-286
- Section: ORIGINAL STUDY ARTICLES
- URL: https://journals.rcsi.science/2411-8729/article/view/148353
- DOI: https://doi.org/10.17816/fm12646
- ID: 148353
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Abstract
BACKGROUND: Issues of identity identification are relevant among the tasks solved when using these video surveillance and recording cameras. If it is impossible to carry out the identification by face, the identification by gait becomes relevant.
AIM: To define the step cycle as one of the gait personality identification parameters
MATERIALS AND METHODS: Study design: a single- and single-point (per population) observational study, with results registered in the Database of Step Cycle Characteristics (certificate of state registration no. 2022623085). The primary end-point of the study was the determination of the dependence of step periods on the movement speed of individuals, the assessment was carried out by a nonparametric criterion for Spearman correlation.
RESULTS: Comparative analysis of the obtained data revealed a decreasing pattern in all step periods separately (period of the first and second double supports and period of the first and second transfers) with an increase in the movement speed of the individual.
CONCLUSION: The obtained data make it possible to identify the possibility of using the step-cycle characteristics to identify individuals by gait when walking at different speeds. This stage can serve to further develop an algorithm for identifying a person by gait, as one of the parameters.
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##article.viewOnOriginalSite##About the authors
Oksana I. Kosukhina
Moscow State University of Medicine and Dentistry named after A.I. Evdokimov
Email: u967nk@yandex.ru
ORCID iD: 0000-0003-1665-3666
SPIN-code: 7794-6782
MD, Cand. Sci. (Med.)
Russian Federation, MoscowElena E. Fomina
Tver State Technical University
Email: f-elena2008@yandex.ru
ORCID iD: 0000-0002-1028-0750
SPIN-code: 6602-8570
Cand. Sci. (Engin.), Assistant Professor
Russian Federation, TverSergei V. Leonov
Moscow State University of Medicine and Dentistry named after A.I. Evdokimov; Chief State Center for Forensic Medicine and Forensic Expertise 111
Author for correspondence.
Email: sleonoff@inbox.ru
ORCID iD: 0000-0003-4228-8973
SPIN-code: 2326-2920
MD, Dr. Sci. (Med.), Professor
Russian Federation, Moscow; MoscowReferences
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