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Kinematics of Gait: New Method for Angle Estimation Based on Accelerometers
A new method for estimation of angles of leg segments and joints, which uses accelerometer arrays attached to body segments, is described. An array consists of two accelerometers mounted on a rigid rod. The absolute angle of each body segment was determined by band pass filtering of the differences...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3274301/ https://www.ncbi.nlm.nih.gov/pubmed/22346659 http://dx.doi.org/10.3390/s111110571 |
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author | Djurić-Jovičić, Milica D. Jovičić, Nenad S. Popović, Dejan B. |
author_facet | Djurić-Jovičić, Milica D. Jovičić, Nenad S. Popović, Dejan B. |
author_sort | Djurić-Jovičić, Milica D. |
collection | PubMed |
description | A new method for estimation of angles of leg segments and joints, which uses accelerometer arrays attached to body segments, is described. An array consists of two accelerometers mounted on a rigid rod. The absolute angle of each body segment was determined by band pass filtering of the differences between signals from parallel axes from two accelerometers mounted on the same rod. Joint angles were evaluated by subtracting absolute angles of the neighboring segments. This method eliminates the need for double integration as well as the drift typical for double integration. The efficiency of the algorithm is illustrated by experimental results involving healthy subjects who walked on a treadmill at various speeds, ranging between 0.15 m/s and 2.0 m/s. The validation was performed by comparing the estimated joint angles with the joint angles measured with flexible goniometers. The discrepancies were assessed by the differences between the two sets of data (obtained to be below 6 degrees) and by the Pearson correlation coefficient (greater than 0.97 for the knee angle and greater than 0.85 for the ankle angle). |
format | Online Article Text |
id | pubmed-3274301 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-32743012012-02-15 Kinematics of Gait: New Method for Angle Estimation Based on Accelerometers Djurić-Jovičić, Milica D. Jovičić, Nenad S. Popović, Dejan B. Sensors (Basel) Article A new method for estimation of angles of leg segments and joints, which uses accelerometer arrays attached to body segments, is described. An array consists of two accelerometers mounted on a rigid rod. The absolute angle of each body segment was determined by band pass filtering of the differences between signals from parallel axes from two accelerometers mounted on the same rod. Joint angles were evaluated by subtracting absolute angles of the neighboring segments. This method eliminates the need for double integration as well as the drift typical for double integration. The efficiency of the algorithm is illustrated by experimental results involving healthy subjects who walked on a treadmill at various speeds, ranging between 0.15 m/s and 2.0 m/s. The validation was performed by comparing the estimated joint angles with the joint angles measured with flexible goniometers. The discrepancies were assessed by the differences between the two sets of data (obtained to be below 6 degrees) and by the Pearson correlation coefficient (greater than 0.97 for the knee angle and greater than 0.85 for the ankle angle). Molecular Diversity Preservation International (MDPI) 2011-11-07 /pmc/articles/PMC3274301/ /pubmed/22346659 http://dx.doi.org/10.3390/s111110571 Text en © 2011 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Djurić-Jovičić, Milica D. Jovičić, Nenad S. Popović, Dejan B. Kinematics of Gait: New Method for Angle Estimation Based on Accelerometers |
title | Kinematics of Gait: New Method for Angle Estimation Based on Accelerometers |
title_full | Kinematics of Gait: New Method for Angle Estimation Based on Accelerometers |
title_fullStr | Kinematics of Gait: New Method for Angle Estimation Based on Accelerometers |
title_full_unstemmed | Kinematics of Gait: New Method for Angle Estimation Based on Accelerometers |
title_short | Kinematics of Gait: New Method for Angle Estimation Based on Accelerometers |
title_sort | kinematics of gait: new method for angle estimation based on accelerometers |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3274301/ https://www.ncbi.nlm.nih.gov/pubmed/22346659 http://dx.doi.org/10.3390/s111110571 |
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