zPatch: Hybrid Resistive/Capacitive eTextile Input
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zPatch : Hybrid Resistive/Capacitive eTextile Input. / Strohmeier, Paul; Knibbe, Jarrod; Boring, Sebastian; Hornbæk, Kasper.
TEI 2018 - Proceedings of the 12th International Conference on Tangible, Embedded, and Embodied Interaction. Association for Computing Machinery, 2018. p. 188-198.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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TY - GEN
T1 - zPatch
T2 - 12th International Conference on Tangible, Embedded, and Embodied Interaction
AU - Strohmeier, Paul
AU - Knibbe, Jarrod
AU - Boring, Sebastian
AU - Hornbæk, Kasper
PY - 2018
Y1 - 2018
N2 - We present zPatch: an eTextile patch for hover, touch, and pressure input, using both resistive and capacitive sensing. zPatches are made by layering a piezo-resistive material between silver-plated ripstop, and embedding it in non-conductive fabric to form a patch. zPatches can be easily ironed onto most fabrics, in any location, enabling easy prototyping or ad hoc modifications of existing garments. We provide open-source resources for building and programming zPatches and present measures of the achievable sensing resolution of a zPatch. A pressure based targeting task demonstrated users could reliably hit pressure targets at up to 13 levels, given appropriate feedback. We demonstrate that the hybrid sensing approach reduces false activations and helps distinguish between gestures. Finally, we present example applications in which we use zPatches for controlling a music player, text entry and gaming input.
AB - We present zPatch: an eTextile patch for hover, touch, and pressure input, using both resistive and capacitive sensing. zPatches are made by layering a piezo-resistive material between silver-plated ripstop, and embedding it in non-conductive fabric to form a patch. zPatches can be easily ironed onto most fabrics, in any location, enabling easy prototyping or ad hoc modifications of existing garments. We provide open-source resources for building and programming zPatches and present measures of the achievable sensing resolution of a zPatch. A pressure based targeting task demonstrated users could reliably hit pressure targets at up to 13 levels, given appropriate feedback. We demonstrate that the hybrid sensing approach reduces false activations and helps distinguish between gestures. Finally, we present example applications in which we use zPatches for controlling a music player, text entry and gaming input.
KW - ETextile
KW - Hybrid sensing
KW - On body input
UR - http://www.scopus.com/inward/record.url?scp=85046674344&partnerID=8YFLogxK
U2 - 10.1145/3173225.3173242
DO - 10.1145/3173225.3173242
M3 - Article in proceedings
SP - 188
EP - 198
BT - TEI 2018 - Proceedings of the 12th International Conference on Tangible, Embedded, and Embodied Interaction
PB - Association for Computing Machinery
Y2 - 18 March 2018 through 21 March 2018
ER -
ID: 193795013