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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Taiwan Association of Engineering and Technology Innovation
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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 |
work_keys_str_mv |
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