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Off-Line Sensing: Memorizing Interactions in Passive 3D-Printed Objects

Schmitz, Martin ; Herbers, Martin ; Dezfuli, Niloofar ; Günther, Sebastian ; Mühlhäuser, Max :
Off-Line Sensing: Memorizing Interactions in Passive 3D-Printed Objects.
[Online-Edition: https://doi.org/10.1145/3173574.3173756]
In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, Montréal, Canada. In: CHI '18 . ACM
[ Konferenzveröffentlichung] , (2018)

Offizielle URL: https://doi.org/10.1145/3173574.3173756

Kurzbeschreibung (Abstract)

Embedding sensors into objects allow them to recognize various interactions.However, sensing usually requires active electronics that are often costly, need time to be assembled, and constantly draw power. Thus, we propose off-line sensing: passive 3D-printed sensors that detect one-time interactions, such as accelerating or flipping, but neither require active electronics nor power at the time of the interaction. They memorize a pre-defined interaction via an embedded structure filled with a conductive medium (e.g., a liquid). Whether a sensor was exposed to the interaction can be read-out via a capacitive touchscreen. Sensors are printed in a single pass on a consumer-level 3D printer. Through a series of experiments, we show the feasibility of off-line sensing.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2018
Autor(en): Schmitz, Martin ; Herbers, Martin ; Dezfuli, Niloofar ; Günther, Sebastian ; Mühlhäuser, Max
Titel: Off-Line Sensing: Memorizing Interactions in Passive 3D-Printed Objects
Sprache: Deutsch
Kurzbeschreibung (Abstract):

Embedding sensors into objects allow them to recognize various interactions.However, sensing usually requires active electronics that are often costly, need time to be assembled, and constantly draw power. Thus, we propose off-line sensing: passive 3D-printed sensors that detect one-time interactions, such as accelerating or flipping, but neither require active electronics nor power at the time of the interaction. They memorize a pre-defined interaction via an embedded structure filled with a conductive medium (e.g., a liquid). Whether a sensor was exposed to the interaction can be read-out via a capacitive touchscreen. Sensors are printed in a single pass on a consumer-level 3D printer. Through a series of experiments, we show the feasibility of off-line sensing.

Buchtitel: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
Reihe: CHI '18
Verlag: ACM
Freie Schlagworte: - TI - Area Tangible Interaction;3D printing, digital fabrication, capacitive sensing, metamaterial, mechanism, input, sensors
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Telekooperation
Veranstaltungstitel: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
Veranstaltungsort: Montréal, Canada
Hinterlegungsdatum: 30 Jan 2018 08:17
DOI: 10.1145/3173574.3173756
Offizielle URL: https://doi.org/10.1145/3173574.3173756
ID-Nummer: TUD-CS-2018-0025
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