Optimizations for Passive Electric Field Sensing.

capacitive sensing passive electric field sensing sensors signal processing

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
19 Aug 2022
Historique:
received: 06 07 2022
revised: 15 08 2022
accepted: 16 08 2022
entrez: 26 8 2022
pubmed: 27 8 2022
medline: 30 8 2022
Statut: epublish

Résumé

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.

Identifiants

pubmed: 36015989
pii: s22166228
doi: 10.3390/s22166228
pmc: PMC9415647
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Julian von Wilmsdorff (J)

Fraunhofer IGD Darmstadt, Fraunhoferstraße 5, 64283 Darmstadt, Germany.

Arjan Kuijper (A)

Fraunhofer IGD Darmstadt, Fraunhoferstraße 5, 64283 Darmstadt, Germany.
Department of Computer Science, Technical University of Darmstadt, 64289 Darmstadt, Germany.

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Classifications MeSH