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Optimizations for Passive Electric Field Sensing

Wilmsdorff, Julian von ; Kuijper, Arjan (2022):
Optimizations for Passive Electric Field Sensing. (Publisher's Version)
In: Sensors, 22 (16), MDPI, e-ISSN 1424-8220,
DOI: 10.26083/tuprints-00022332,

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Item Type: Article
Origin: Secondary publication DeepGreen
Status: Publisher's Version
Title: Optimizations for Passive Electric Field Sensing
Language: English

Passive electric field sensing can be utilized in a wide variety of application areas, although it has certain limitations. In order to better understand what these limitations are and how countervailing measures to these limitations could be implemented, this paper contributes an in-depth discussion of problems with passive electric field sensing and how to bypass or solve them. The focus lies on the explanation of how commonly known signal processing techniques and hardware build-up schemes can be used to improve passive electric field sensors and the corresponding data processing.

Journal or Publication Title: Sensors
Volume of the journal: 22
Issue Number: 16
Place of Publication: Darmstadt
Publisher: MDPI
Collation: 10 Seiten
Uncontrolled Keywords: capacitive sensing, passive electric field sensing, sensors, signal processing
Classification DDC: 000 Allgemeines, Informatik, Informationswissenschaft > 004 Informatik
Divisions: 20 Department of Computer Science > Interactive Graphics Systems
20 Department of Computer Science > Fraunhofer IGD
Date Deposited: 12 Sep 2022 13:11
Last Modified: 22 Sep 2022 06:19
DOI: 10.26083/tuprints-00022332
Corresponding Links:
URN: urn:nbn:de:tuda-tuprints-223323
Additional Information:

This article belongs to the Special Issue Wireless Smart Sensors for Digital Healthcare and Assisted Living

SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/22332
PPN: 499561112
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