English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/142141
Share/Impact:
Statistics
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:

Title

An IMU-to-Body Alignment Method Applied to Human Gait Analysis

AuthorsVargas-Valencia, Laura Susana; Elías, Arlindo; Rocón, Eduardo ; Bastos-Filho, Teodiano; Frizera Neto, Anselmo
Issue Date10-Dec-2016
PublisherMultidisciplinary Digital Publishing Institute
CitationSensors 16(12): 2090 (2016)
AbstractThis paper presents a novel calibration procedure as a simple, yet powerful, method to place and align inertial sensors with body segments. The calibration can be easily replicated without the need of any additional tools. The proposed method is validated in three different applications: a computer mathematical simulation; a simplified joint composed of two semi-spheres interconnected by a universal goniometer; and a real gait test with five able-bodied subjects. Simulation results demonstrate that, after the calibration method is applied, the joint angles are correctly measured independently of previous sensor placement on the joint, thus validating the proposed procedure. In the cases of a simplified joint and a real gait test with human volunteers, the method also performs correctly, although secondary plane errors appear when compared with the simulation results. We believe that such errors are caused by limitations of the current inertial measurement unit (IMU) technology and fusion algorithms. In conclusion, the presented calibration procedure is an interesting option to solve the alignment problem when using IMUs for gait analysis.
URIhttp://hdl.handle.net/10261/142141
DOIhttp://dx.doi.org/10.3390/s16122090
Identifiersdoi: 10.3390/s16122090
Appears in Collections:(CAR) Artículos
Files in This Item:
File Description SizeFormat 
sensors-16-02090.pdf2,44 MBAdobe PDFThumbnail
View/Open
Show full item record
Review this work
 


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.