A Method of Tactile Resistive Sensor Array Calibration
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Date
2024-08-14
Authors
Husák, Michal
Mihálik, Ondrej
Dvorský, Petr
Bradáč, Zdeněk
0000-0002-8743-6776Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
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Abstract
Resistive sensor arrays (RSA) comprising of pressure-sensitive elements find broad use in pressure-sensing applications. However, sensor manufacturing inevitably yields a number of non-ideal properties. The gain, offset or non-linearities of an RSA’s elements may vary between individual sensors (taxels). Hence a simple calibration procedure to suppress these effects is desirable. The paper presents a method of and apparatus for the calibration of a pressure-sensing RSA. A forward mathematical model for each sensor is obtained during the calibration phase. In subsequent online measurement, the inverse model is utilised to compensated for the non-uniformity in sensor gain and offset. This approach leads to an appreciable improvement in picture quality, which can be mathematically quantified using classification accuracy in our tactile anti-decubitus platform for human monitoring. Namely, in a four-class classification experiment involving a support vector machine, the classification error decreased from 11 % before calibration to 3.5 % after calibration. Owing to the calibration procedure, a classifier trained using a calibrated RSA can be deployed to another calibrated RSA, without further data collection.
Description
Citation
IFAC-PapersOnLine (ELSEVIER). 2024, vol. 58, issue 9, p. 37-42.
https://doi.org/10.1016/j.ifacol.2024.07.368
https://doi.org/10.1016/j.ifacol.2024.07.368
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
en
Study field
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Date of acceptance
Defence
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Document licence
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
http://creativecommons.org/licenses/by-nc-nd/4.0/