Please use this identifier to cite or link to this item:
Title: A low-cost wireless system of inertial sensors to postural analysis during human movement.
Authors: Santos, Talysson Manoel de Oliveira
Barroso, Márcio Falcão Santos
Ricco, Rodrigo Augusto
Nepomuceno, Erivelton Geraldo
Alvarenga, Érika Lorena Fonseca Costa de
Penoni, Álvaro C. O.
Santos, Ana F.
Keywords: Bio-mechanics
Gait analysis
Complementary filter
Kalman filter
Issue Date: 2019
Citation: SANTOS, T. M. de O. et al. A low-cost wireless system of inertial sensors to postural analysis during human movement. Measurement, v. 148, n. 106933, dez. 2019. Disponível em: <>. Acesso em: 10 mar. 2020.
Abstract: The dynamics of the human body has generated considerable recent research interest among scientist devoted to reducing the number of injuries and for performance improvement. In these studies, the investigation is usually addressed by means of commercial devices based on video recordings. However, these systems based on video recordings are usually expensive and require suitable laboratories for their use, which makes it unfeasible to collect data for activities outside controlled environments. In this work, we have shown that it is possible to present similar results with a much lower sampling rate, focusing on the evaluation of minimum and maximum values of the gait. As a result, it has been possible to develop a wearable, compact, portable, low-cost, wireless and embedded system to simultaneously analyze the three-dimensional angular position in eight points. This technology can be used in many sorts of environments. It is also possible to access information in real time with reliable and accurate measurements by means of simple modelling for the use of fusion techniques implemented in the microcontroller. Tests were conducted to evaluate the metrological characteristics of the system using the Complementary Filter (CF) and the Kalman Filter (KF). An algorithm of evolutionary strategies tuned both filters, providing errors of less than 5% for static situations in the measurement of the angular position over the entire system utilization range. Our results have been compared with the commercial system Qualisys Motion-Capture. The statistical method elaborated by Bland and Altman has been used. We have found our method yields a motion analyses in good agreement with results using post-processed video.
ISSN: 0263-2241
Appears in Collections:DEELT - Artigos publicados em periódicos

Files in This Item:
File Description SizeFormat 
  Restricted Access
1,21 MBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.