TexYZ: Embroidering Enameled Wires for Three Degree-of-Freedom Mutual Capacitive Sensing

Roland Aigner, Andreas Pointner, Thomas Preindl, Rainer Danner, Michael Haller

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitragBegutachtung

6 Zitate (Scopus)

Abstract

In this paper, we present TexYZ, a method for rapid and efortless manufacturing of textile mutual capacitive sensors using a commodity embroidery machine. We use enameled wire as a bobbin thread to yield textile capacitors with high quality and consistency. As a consequence, we are able to leverage the precision and expressiveness of projected mutual capacitance for textile electronics, even when size is limited. Harnessing the assets of machine embroidery, we implement and analyze fve distinct electrode patterns, examine the resulting electrical features with respect to geometrical attributes, and demonstrate the feasibility of two promising candidates for small-scale matrix layouts. The resulting sensor patches are further evaluated in terms of capacitance homogeneity, signalto- noise ratio, sensing range, and washability. Finally, we demonstrate two use case scenarios, primarily focusing on continuous input with up to three degrees-of-freedom.

OriginalspracheEnglisch (Amerika)
TitelCHI 2021 - Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
UntertitelMaking Waves, Combining Strengths
ErscheinungsortNew YorkNYUnited States
Herausgeber (Verlag)Association for Computing Machinery
Seiten1-12
Seitenumfang12
ISBN (elektronisch)978-1-4503-8096-6
DOIs
PublikationsstatusVeröffentlicht - 6 Mai 2021
VeranstaltungCHI 2021 - Virtual, Yokohama, Japan
Dauer: 8 Mai 202113 Mai 2021
https://chi2021.acm.org/

Publikationsreihe

NameConference on Human Factors in Computing Systems - Proceedings

Konferenz

KonferenzCHI 2021
Land/GebietJapan
OrtYokohama
Zeitraum08.05.202113.05.2021
Internetadresse

Fingerprint

Untersuchen Sie die Forschungsthemen von „TexYZ: Embroidering Enameled Wires for Three Degree-of-Freedom Mutual Capacitive Sensing“. Zusammen bilden sie einen einzigartigen Fingerprint.

Zitieren