Open AccessThe method of measuring motion capture in wheelchairs during actual use – description of the method and model of measuring signal processing
Author(s) -
Bartosz Wieczorek,
Mateusz Kukla
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1199/1/012084
Subject(s) - kinematics , wheelchair , motion capture , computer science , process (computing) , motion (physics) , computer vision , set (abstract data type) , position (finance) , signal (programming language) , artificial intelligence , simulation , physics , classical mechanics , finance , world wide web , economics , programming language , operating system
The aim of the article is to verify the method of measuring motion capture in wheelchair during conditions of actual use and to formally describe how the measurement points are processed. The developed method and the measurement data processing process extract a set of parameters from the study that describe the kinematics of the human body while propelling a wheelchair. The method includes an algorithm to process data from video recorded with a sports camera to the coordinates of the marker position. For the selected marker positions, a data processing algorithm was proposed to determine universal parameters used in the assessment of the kinematics of the human body in terms of wheelchair use. The method has been verified with actual tests that analyzed the kinematics of the human body while propelling a wheelchair under various operating conditions. The proposed method of measuring motion capture involves inexpensive research equipment, offers the possibility of use in real conditions.