Abstract: This work illustrates an educational project flow of an electronic system. This system is 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 sensors, 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. Following this detailed design procedure it is possible to reproduce this platform easily adapting it to your own aim.
Keywords: GPS, Kalman filter, MEMS inertial sensors, wireless communication.
Title: Compact GPS/Inertial Platform for Wireless Motion Data Capture and Trajectory Reconstruction
Author: Gianluca Borgese, Calogero Pace, Luigi Rizzo, Giuseppe Artese, Michele Perrelli, Roberto Beneduci
International Journal of Electrical and Electronics Research
ISSN 2348-6988 (online)
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