Discrete Kalman filter based sensor fusion for robust accessibility interfaces

Abstract: 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,...

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Detalles Bibliográficos
Autores principales: Ghersi, Ignacio, Mariño, M., Miralles, Mónica Teresita
Formato: Artículo
Lenguaje:Inglés
Publicado: IOP Publishing 2019
Materias:
BIOMECANICA
NUEVAS TECNOLOGIAS
APLICACIONES
SENSORES
MOVIMIENTO
ORIENTACION ESPACIAL
DISPOSITIVOS
Acceso en línea:https://repositorio.uca.edu.ar/handle/123456789/5471
Aporte de:
Repositorio Institucional de la Universidad Católica Argentina (UCA) de Universidad Católica Argentina
id I33-R139123456789-5471
record_format dspace
institution Universidad Católica Argentina
institution_str I-33
repository_str R-139
collection Repositorio Institucional de la Universidad Católica Argentina (UCA)
language Inglés
topic BIOMECANICA
NUEVAS TECNOLOGIAS
APLICACIONES
SENSORES
MOVIMIENTO
ORIENTACION ESPACIAL
DISPOSITIVOS
spellingShingle BIOMECANICA
NUEVAS TECNOLOGIAS
APLICACIONES
SENSORES
MOVIMIENTO
ORIENTACION ESPACIAL
DISPOSITIVOS
Ghersi, Ignacio
Mariño, M.
Miralles, Mónica Teresita
Discrete Kalman filter based sensor fusion for robust accessibility interfaces
topic_facet BIOMECANICA
NUEVAS TECNOLOGIAS
APLICACIONES
SENSORES
MOVIMIENTO
ORIENTACION ESPACIAL
DISPOSITIVOS
description Abstract: 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 solutions
format Artículo
author Ghersi, Ignacio
Mariño, M.
Miralles, Mónica Teresita
author_facet Ghersi, Ignacio
Mariño, M.
Miralles, Mónica Teresita
author_sort Ghersi, Ignacio
title Discrete Kalman filter based sensor fusion for robust accessibility interfaces
title_short Discrete Kalman filter based sensor fusion for robust accessibility interfaces
title_full Discrete Kalman filter based sensor fusion for robust accessibility interfaces
title_fullStr Discrete Kalman filter based sensor fusion for robust accessibility interfaces
title_full_unstemmed Discrete Kalman filter based sensor fusion for robust accessibility interfaces
title_sort discrete kalman filter based sensor fusion for robust accessibility interfaces
publisher IOP Publishing
publishDate 2019
url https://repositorio.uca.edu.ar/handle/123456789/5471
work_keys_str_mv AT ghersiignacio discretekalmanfilterbasedsensorfusionforrobustaccessibilityinterfaces
AT marinom discretekalmanfilterbasedsensorfusionforrobustaccessibilityinterfaces
AT mirallesmonicateresita discretekalmanfilterbasedsensorfusionforrobustaccessibilityinterfaces
bdutipo_str Repositorios
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