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InSense3D: Designing Smart 3D-Printed Structures Leveraging Ferromagnetic Filaments for Inductive Deformation Sensing
Conference proceeding   Open access   Peer reviewed

InSense3D: Designing Smart 3D-Printed Structures Leveraging Ferromagnetic Filaments for Inductive Deformation Sensing

Rahul Bhaumik, Camilo Ayala Garcia, Niko Stephan Münzenrieder, Michael Haller and Alexandra Ion
CHI '26: Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, pp.1-17
ACM Conference on Human Factors in Computing Systems (CHI) 2026 (Barcelona, 13/04/2026–17/04/2026)
2026
Handle:
https://hdl.handle.net/10863/52248

Abstract

In this paper, we explore the design and development of passive soft 3D-printed structures whose deformation can be sensed accurately without any wired connection. By 3D printing tangible interfaces consisting of flexible TPU (thermoplastic polyurethane), made from lattice structures with bespoke geometries and mechanical properties, and ferromagnetic elements using metal-infused filaments, we enable the detection of structural deformations through inductive sensing. We investigate how different ferromagnetic core configurations within flexible substrates, guided by key design parameters, influence the sensitivity, responsiveness, and deformability of the sensing system. We demonstrate that our 3D-printed inductive sensing approach allows users to switch their fully passive tangible interfaces for specialized tasks without assembly or the need to unplug wires. Our sensing approach can be integrated in portable applications, such as a smart bottle cover that captures subtle deformation to measure liquid intake, or in wearable applications, such as monitoring foot pressure in smart shoes.
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InSense3D9.71 MBDownloadView
Open Access
url
https://dl.acm.org/doi/10.1145/3772318.3791824View

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