Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Validation of a Fast and Accurate Magnetic Tracker Operating in the Environmental Field

Valerio Biancalana
* ORCID logo ,
Roberto Cecchi
,
Piero Chessa
,
Marco Mandalà
,
Giuseppe Bevilacqua
,
Yordanka Dancheva
,
Antonio Vigilante
ORCID logo
Version 1 : Received: 26 January 2021 / Approved: 28 January 2021 / Online: 28 January 2021 (08:10:19 CET)

A peer-reviewed article of this Preprint also exists.

Biancalana, V.; Cecchi, R.; Chessa, P.; Mandalà, M.; Bevilacqua, G.; Dancheva, Y.; Vigilante, A. Validation of a Fast and Accurate Magnetic Tracker Operating in the Environmental Field. Instruments 2021, 5, 11. Biancalana, V.; Cecchi, R.; Chessa, P.; Mandalà, M.; Bevilacqua, G.; Dancheva, Y.; Vigilante, A. Validation of a Fast and Accurate Magnetic Tracker Operating in the Environmental Field. Instruments 2021, 5, 11.

Abstract

We characterize the performance of a system based on a magnetoresistor array. This instrument is developed to map the magnetic field, and to track a dipolar magnetic source in the presence of a static homogeneous field. The position and orientation of the magnetic source with respect to the sensor frame is retrieved together with the orientation of the frame with respect to the environmental field. A nonlinear best-fit procedure is used, and its precision, time performance, and reliability are analyzed. This analysis is performed in view of the practical application for which the system is designed that is an eye-tracking diagnostics and rehabilitative tool for medical purposes, which require high speed ($\ge 100$~Sa/s) and sub-millimetric spatial resolution. A throughout investigation on the results makes it possible to list several observations, suggestions, and hints, which will be useful in the design of similar setups.

Keywords

Tracking; Magnetic tracking; Eye tracking; Sensor Array; Eye Motion

Subject

Physical Sciences, Applied Physics

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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