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

Schmitz, Martin and Herbers, Martin and Dezfuli, Niloofar and Günther, Sebastian and Mühlhäuser, Max (2018):
Off-Line Sensing: Memorizing Interactions in Passive 3D-Printed Objects.
In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, ACM, In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, Montréal, Canada, In: CHI '18, ISBN 978-1-4503-5620-6,
DOI: 10.1145/3173574.3173756,
[Online-Edition: https://doi.org/10.1145/3173574.3173756],
[Conference or Workshop Item]

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.

Item Type: Conference or Workshop Item
Erschienen: 2018
Creators: Schmitz, Martin and Herbers, Martin and Dezfuli, Niloofar and Günther, Sebastian and Mühlhäuser, Max
Title: Off-Line Sensing: Memorizing Interactions in Passive 3D-Printed Objects
Language: German
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.

Title of Book: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
Series Name: CHI '18
Publisher: ACM
ISBN: 978-1-4503-5620-6
Uncontrolled Keywords: - TI - Area Tangible Interaction;3D printing, digital fabrication, capacitive sensing, metamaterial, mechanism, input, sensors
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Telecooperation
Event Title: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
Event Location: Montréal, Canada
Date Deposited: 30 Jan 2018 08:17
DOI: 10.1145/3173574.3173756
Official URL: https://doi.org/10.1145/3173574.3173756
Identification Number: TUD-CS-2018-0025
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