Por favor, use este identificador para citar o enlazar este ítem: https://repositorio.uca.edu.ar/handle/123456789/5471
Campo DC Valor Lengua/Idioma
dc.contributor.authorGhersi, Ignacioes
dc.contributor.authorMariño, M.es
dc.contributor.authorMiralles, Mónica Teresitaes
dc.date.accessioned2019-06-06T00:48:26Z-
dc.date.available2019-06-06T00:48:26Z-
dc.date.issued2016-
dc.identifier.citationGhersi I., Mariñño M, Miralles MT. Discrete Kalman filter based sensor fusion for robust accessibility interfaces [en línea]. Journal of physics : conference series 705 2016. DOI: 10.1088/1742-6596/705/1/012036 Disponible en: https://repositorio.uca.edu.ar/handle/123456789/5471es
dc.identifier.urihttps://repositorio.uca.edu.ar/handle/123456789/5471-
dc.description.abstractAbstract: Human-machine interfaces have evolved, benefiting from the growing access to devices with superior, embedded signal-processing capabilities, as well as through new sensors that allow the estimation of movements and gestures, resulting in increasingly intuitive interfaces. In this context, sensor fusion for the estimation of the spatial orientation of body segments allows to achieve more robust solutions, overcoming specific disadvantages derived from the use of isolated sensors, such as the sensitivity of magnetic-field sensors to external influences, when used in uncontrolled environments. In this work, a method for the combination of image-processing data and angular-velocity registers from a 3D MEMS gyroscope, through a Discrete-time Kalman Filter, is proposed and deployed as an alternate user interface for mobile devices, in which an on-screen pointer is controlled with head movements. Results concerning general performance of the method are presented, as well as a comparative analysis, under a dedicated test application, with results from a previous version of this system, in which the relative-orientation information was acquired directly from MEMS sensors (3D magnetometeraccelerometer). These results show an improved response for this new version of the pointer, both in terms of precision and response time, while keeping many of the benefits that were highlighted for its predecessor, giving place to a complementary method for signal acquisition that can be used as an alternative-input device, as well as for accessibility solutionses
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherIOP Publishinges
dc.rightsAcceso Abiertoes
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0/es
dc.sourceJournal of Physics: conference series 705, 2016es
dc.subjectBIOMECANICAes
dc.subjectNUEVAS TECNOLOGIASes
dc.subjectAPLICACIONESes
dc.subjectSENSORESes
dc.subjectMOVIMIENTOes
dc.subjectORIENTACION ESPACIALes
dc.subjectDISPOSITIVOSes
dc.titleDiscrete Kalman filter based sensor fusion for robust accessibility interfaceses
dc.typeArtículoes
dc.identifier.doi10.1088/1742-6596/705/1/012036-
uca.pathFacultad de Ingeniería y Ciencias Agrarias|Artículoses
uca.disciplinaINGENIERIAes
uca.filename/home/data-uca-generic/folder_generic_common/Ing. y Cs.Agrarias/Art�culos/discrete-kalman-filter-sensor/metadata.xmles
uca.issnrd1es
uca.affiliationFil: Ghersi, Ignacio. Universidad Católica Argentina. Facultad de Ciencias Fisicomatemáticas e Ingeniería. Laboratorio de Biomecánica e Ingeniería para la Salud; Argentinaes
uca.affiliationFil: Ghersi, Ignacio. Universidad de Buenos Aires. Facultad de Arquitectura Diseño y Urbanismo. Centro de Investigación en Diseño Industrial de Productos Complejos; Argentinaes
uca.affiliationFil: Mariño, M. Universidad de Buenos Aires. Facultad de Arquitectura Diseño y Urbanismo. Centro de Investigación en Diseño Industrial de Productos Complejos; Argentinaes
uca.affiliationFil: Miralles, Mónica. Universidad Católica Argentina. Facultad de Ciencias Fisicomatemáticas e Ingeniería. Laboratorio de Biomecánica e Ingeniería para la Salud; Argentinaes
uca.affiliationFil: Miralles, Mónica. Universidad de Buenos Aires. Facultad de Arquitectura Diseño y Urbanismo. Centro de Investigación en Diseño Industrial de Productos Complejos; Argentinaes
uca.versionpublishedVersiones
item.grantfulltextopen-
item.fulltextWith Fulltext-
item.languageiso639-1en-
crisitem.author.deptFacultad de Ingeniería y Ciencias Agrarias-
crisitem.author.deptLaboratorio de Biomecánica e Ingeniería para la Salud (LaBIS-UCA)-
crisitem.author.orcid0000-0001-7479-5449-
crisitem.author.orcid0000-0001-9393-7262-
crisitem.author.parentorgPontificia Universidad Católica Argentina-
crisitem.author.parentorgFacultad de Ingeniería y Ciencias Agrarias-
Aparece en las colecciones: Artículos
Ficheros en este ítem:
Fichero Descripción Tamaño Formato
discrete-kalman-filter-sensor.jpg3,84 kBJPEGVista previa
Visualizar/Abrir
discrete-kalman-filter-sensor.pdf2,01 MBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro sencillo del ítem

Visualizaciones de página(s)

176
comprobado en 28-mar-2024

Descarga(s)

194
comprobado en 28-mar-2024

Google ScholarTM

Consultar


Altmetric


Este ítem está sujeto a una licencia Creative Commons Licencia Creative Commons Creative Commons