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Wearable Goniometer and Accelerometer Sensory Fusion for Knee Joint Angle Measurement in Daily Life
Human motion analysis is crucial for a wide range of applications and disciplines. The development and validation of low cost and unobtrusive sensing systems for ambulatory motion detection is still an open issue. Inertial measurement systems and e-textile sensors are emerging as potential technolog...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4701288/ https://www.ncbi.nlm.nih.gov/pubmed/26569249 http://dx.doi.org/10.3390/s151128435 |
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author | Tognetti, Alessandro Lorussi, Federico Carbonaro, Nicola de Rossi, Danilo |
author_facet | Tognetti, Alessandro Lorussi, Federico Carbonaro, Nicola de Rossi, Danilo |
author_sort | Tognetti, Alessandro |
collection | PubMed |
description | Human motion analysis is crucial for a wide range of applications and disciplines. The development and validation of low cost and unobtrusive sensing systems for ambulatory motion detection is still an open issue. Inertial measurement systems and e-textile sensors are emerging as potential technologies for daily life situations. We developed and conducted a preliminary evaluation of an innovative sensing concept that combines e-textiles and tri-axial accelerometers for ambulatory human motion analysis. Our sensory fusion method is based on a Kalman filter technique and combines the outputs of textile electrogoniometers and accelerometers without making any assumptions regarding the initial accelerometer position and orientation. We used our technique to measure the flexion-extension angle of the knee in different motion tasks (monopodalic flexions and walking at different velocities). The estimation technique was benchmarked against a commercial measurement system based on inertial measurement units and performed reliably for all of the various tasks (mean and standard deviation of the root mean square error of [Formula: see text] and [Formula: see text] [Formula: see text] , respectively). In addition, the method showed a notable improvement in angular estimation compared to the estimation derived by the textile goniometer and accelerometer considered separately. In future work, we will extend this method to more complex and multi-degree of freedom joints. |
format | Online Article Text |
id | pubmed-4701288 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-47012882016-01-19 Wearable Goniometer and Accelerometer Sensory Fusion for Knee Joint Angle Measurement in Daily Life Tognetti, Alessandro Lorussi, Federico Carbonaro, Nicola de Rossi, Danilo Sensors (Basel) Article Human motion analysis is crucial for a wide range of applications and disciplines. The development and validation of low cost and unobtrusive sensing systems for ambulatory motion detection is still an open issue. Inertial measurement systems and e-textile sensors are emerging as potential technologies for daily life situations. We developed and conducted a preliminary evaluation of an innovative sensing concept that combines e-textiles and tri-axial accelerometers for ambulatory human motion analysis. Our sensory fusion method is based on a Kalman filter technique and combines the outputs of textile electrogoniometers and accelerometers without making any assumptions regarding the initial accelerometer position and orientation. We used our technique to measure the flexion-extension angle of the knee in different motion tasks (monopodalic flexions and walking at different velocities). The estimation technique was benchmarked against a commercial measurement system based on inertial measurement units and performed reliably for all of the various tasks (mean and standard deviation of the root mean square error of [Formula: see text] and [Formula: see text] [Formula: see text] , respectively). In addition, the method showed a notable improvement in angular estimation compared to the estimation derived by the textile goniometer and accelerometer considered separately. In future work, we will extend this method to more complex and multi-degree of freedom joints. MDPI 2015-11-11 /pmc/articles/PMC4701288/ /pubmed/26569249 http://dx.doi.org/10.3390/s151128435 Text en © 2015 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/4.0/). |
spellingShingle | Article Tognetti, Alessandro Lorussi, Federico Carbonaro, Nicola de Rossi, Danilo Wearable Goniometer and Accelerometer Sensory Fusion for Knee Joint Angle Measurement in Daily Life |
title | Wearable Goniometer and Accelerometer Sensory Fusion for Knee Joint Angle Measurement in Daily Life |
title_full | Wearable Goniometer and Accelerometer Sensory Fusion for Knee Joint Angle Measurement in Daily Life |
title_fullStr | Wearable Goniometer and Accelerometer Sensory Fusion for Knee Joint Angle Measurement in Daily Life |
title_full_unstemmed | Wearable Goniometer and Accelerometer Sensory Fusion for Knee Joint Angle Measurement in Daily Life |
title_short | Wearable Goniometer and Accelerometer Sensory Fusion for Knee Joint Angle Measurement in Daily Life |
title_sort | wearable goniometer and accelerometer sensory fusion for knee joint angle measurement in daily life |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4701288/ https://www.ncbi.nlm.nih.gov/pubmed/26569249 http://dx.doi.org/10.3390/s151128435 |
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