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,
[Article]
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| Item Type: | Article |
|---|---|
| Origin: | Secondary publication DeepGreen |
| Status: | Publisher's Version |
| Title: | Optimizations for Passive Electric Field Sensing |
| Language: | English |
| Abstract: | 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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