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

Read full text
Authors: Rahul Bhaumik, Camilo Ayala-Garcia, Niko S. Munzenrieder, Michael Haller, Alexandra Ion
Cited by: 1
References: 28

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.

Fields of Study & Subjects

Advanced Sensor and Energy Harvesting Materials Advanced Materials and Mechanics Interactive and Immersive Displays

Publication details

Journal / source
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Pages
1–17
Publication date
13 April 2026