Open AccessAssessment of Human Walking Parameters with Two Accelerometers
Author(s) -
Mikhail Yu. Kataev,
Н. Г. Катаева,
R. A. Chernov
Publication year - 2021
Publication title -
doklady tomskogo gosudarstvennogo universiteta sistem upravleniâ i radioèlektroniki
Language(s) - English
Resource type - Journals
ISSN - 1818-0442
DOI - 10.21293/1818-0442-2021-24-2-51-55
Subject(s) - accelerometer , physical medicine and rehabilitation , movement (music) , computer science , position (finance) , gait , human body , simulation , human–computer interaction , artificial intelligence , medicine , acoustics , physics , finance , economics , operating system
Movement is an integral part of a human activity. Maintaining human’s health or doing sports, for example, requires an accurate assessment of a person's physical activity, and especially the way the person moves (gait). The natural age-related changes or diseases cause a disfunction of the musculoskeletal system, and limits human movement. Traditionally, the medical diagnostics consists in examination of a person in a static position or with a minimum level of movement. This article proposes a solution to the problem of assessing the parameters of a person's walking using several accelerometers fixed on the human body. This solution allows obtaining correct data on a human limb movement in time and space. The authors believe that this approach can be used to diagnose the state of the human musculoskeletal system