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Optimizations for Passive Electric Field Sensing

Wilmsdorff, Julian von ; Kuijper, Arjan (2022)
Optimizations for Passive Electric Field Sensing.
In: Sensors, 2022, 22 (16)
doi: 10.26083/tuprints-00022332
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: Optimizations for Passive Electric Field Sensing
Language: English
Date: 12 September 2022
Place of Publication: Darmstadt
Year of primary publication: 2022
Publisher: MDPI
Journal or Publication Title: Sensors
Volume of the journal: 22
Issue Number: 16
Collation: 10 Seiten
DOI: 10.26083/tuprints-00022332
Corresponding Links:
Origin: Secondary publication DeepGreen

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.

Uncontrolled Keywords: capacitive sensing, passive electric field sensing, sensors, signal processing
Status: Publisher's Version
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

Classification DDC: 000 Generalities, computers, information > 004 Computer science
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: 14 Nov 2023 19:05
SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/22332
PPN: 499561112
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