A Complete Design Flow of a General Purpose Wireless GPS/Inertial Platform for Motion Data Monitoring

This work illustrates a complete design flow of an electronic system developed to support applications in which there are the need to measure motion parameters and transmit them to a remote unit for real-time teleprocessing. In order to be useful in many operative contexts, the system is flexible, c...

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Main Authors: Gianluca Borgese, Calogero Pace, Luigi Rizzo, Giuseppe Artese, Michele Perrelli, Roberto Beneduci
Format: Article
Language:English
Published: Taiwan Association of Engineering and Technology Innovation 2015-07-01
Series:International Journal of Engineering and Technology Innovation
Subjects:
GPS
Online Access:http://ojs.imeti.org/index.php/IJETI/article/view/45
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spelling doaj-18993eb5b09545a2af847b312b3676272020-11-25T02:43:09ZengTaiwan Association of Engineering and Technology InnovationInternational Journal of Engineering and Technology Innovation2223-53292226-809X2015-07-0153A Complete Design Flow of a General Purpose Wireless GPS/Inertial Platform for Motion Data MonitoringGianluca BorgeseCalogero PaceLuigi RizzoGiuseppe ArteseMichele PerrelliRoberto BeneduciThis work illustrates a complete design flow of an electronic system developed to support applications in which there are the need to measure motion parameters and transmit them to a remote unit for real-time teleprocessing. In order to be useful in many operative contexts, the system is flexible, compact, and lightweight. It integrates a tri-axial inertial sensor, a GPS module, a wireless transceiver and can drive a pocket camera. Data acquisition and packetization are handled in order to increase data throughput on Radio Bridge and to minimize power consumption. A trajectory reconstruction algorithm, implementing the Kalman-filter technique, allows obtaining real-time body tracking using only inertial sensors. Thanks to a graphical user interface it is possible to remotely control the system operations and to display the motion data.http://ojs.imeti.org/index.php/IJETI/article/view/45GPSKalman filterMEMS inertial sensorswireless communication
collection DOAJ
language English
format Article
sources DOAJ
author Gianluca Borgese
Calogero Pace
Luigi Rizzo
Giuseppe Artese
Michele Perrelli
Roberto Beneduci
spellingShingle Gianluca Borgese
Calogero Pace
Luigi Rizzo
Giuseppe Artese
Michele Perrelli
Roberto Beneduci
A Complete Design Flow of a General Purpose Wireless GPS/Inertial Platform for Motion Data Monitoring
International Journal of Engineering and Technology Innovation
GPS
Kalman filter
MEMS inertial sensors
wireless communication
author_facet Gianluca Borgese
Calogero Pace
Luigi Rizzo
Giuseppe Artese
Michele Perrelli
Roberto Beneduci
author_sort Gianluca Borgese
title A Complete Design Flow of a General Purpose Wireless GPS/Inertial Platform for Motion Data Monitoring
title_short A Complete Design Flow of a General Purpose Wireless GPS/Inertial Platform for Motion Data Monitoring
title_full A Complete Design Flow of a General Purpose Wireless GPS/Inertial Platform for Motion Data Monitoring
title_fullStr A Complete Design Flow of a General Purpose Wireless GPS/Inertial Platform for Motion Data Monitoring
title_full_unstemmed A Complete Design Flow of a General Purpose Wireless GPS/Inertial Platform for Motion Data Monitoring
title_sort complete design flow of a general purpose wireless gps/inertial platform for motion data monitoring
publisher Taiwan Association of Engineering and Technology Innovation
series International Journal of Engineering and Technology Innovation
issn 2223-5329
2226-809X
publishDate 2015-07-01
description This work illustrates a complete design flow of an electronic system developed to support applications in which there are the need to measure motion parameters and transmit them to a remote unit for real-time teleprocessing. In order to be useful in many operative contexts, the system is flexible, compact, and lightweight. It integrates a tri-axial inertial sensor, a GPS module, a wireless transceiver and can drive a pocket camera. Data acquisition and packetization are handled in order to increase data throughput on Radio Bridge and to minimize power consumption. A trajectory reconstruction algorithm, implementing the Kalman-filter technique, allows obtaining real-time body tracking using only inertial sensors. Thanks to a graphical user interface it is possible to remotely control the system operations and to display the motion data.
topic GPS
Kalman filter
MEMS inertial sensors
wireless communication
url http://ojs.imeti.org/index.php/IJETI/article/view/45
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