Computational Design and Single-Wire Sensing of 3D Printed Objects with Integrated Capacitive Touchpoints

Fuente: arXiv
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Auteurs principaux: Bae, S. Sandra, Fujiwara, Takanori, Szafir, Danielle Albers, Do, Ellen Yi-Luen, Rivera, Michael L.
Format: Preprint
Publié: 2025
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author Bae, S. Sandra
Fujiwara, Takanori
Szafir, Danielle Albers
Do, Ellen Yi-Luen
Rivera, Michael L.
author_facet Bae, S. Sandra
Fujiwara, Takanori
Szafir, Danielle Albers
Do, Ellen Yi-Luen
Rivera, Michael L.
contents Producing interactive 3D printed objects currently requires laborious 3D design and post-instrumentation with off-the-shelf electronics. Multi-material 3D printing using conductive PLA presents opportunities to mitigate these challenges. We present a computational design pipeline that embeds multiple capacitive touchpoints into any 3D model that has a closed mesh without self-intersection. With our pipeline, users define touchpoints on the 3D object's surface to indicate interactive regions. Our pipeline then automatically generates a conductive path to connect the touch regions. This path is optimized to output unique resistor-capacitor delays when each region is touched, resulting in all regions being able to be sensed through a double-wire or single-wire connection. We illustrate our approach's utility with five computational and sensing performance evaluations (achieving 93.35% mean accuracy for single-wire) and six application examples. Our sensing technique supports existing uses (e.g., prototyping) and highlights the growing promise to produce interactive devices entirely with 3D printing. Project website: https://github.com/d-rep-lab/3dp-singlewire-sensing
format Preprint
id arxiv_https___arxiv_org_abs_2509_25387
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Computational Design and Single-Wire Sensing of 3D Printed Objects with Integrated Capacitive Touchpoints
Bae, S. Sandra
Fujiwara, Takanori
Szafir, Danielle Albers
Do, Ellen Yi-Luen
Rivera, Michael L.
Graphics
Human-Computer Interaction
Producing interactive 3D printed objects currently requires laborious 3D design and post-instrumentation with off-the-shelf electronics. Multi-material 3D printing using conductive PLA presents opportunities to mitigate these challenges. We present a computational design pipeline that embeds multiple capacitive touchpoints into any 3D model that has a closed mesh without self-intersection. With our pipeline, users define touchpoints on the 3D object's surface to indicate interactive regions. Our pipeline then automatically generates a conductive path to connect the touch regions. This path is optimized to output unique resistor-capacitor delays when each region is touched, resulting in all regions being able to be sensed through a double-wire or single-wire connection. We illustrate our approach's utility with five computational and sensing performance evaluations (achieving 93.35% mean accuracy for single-wire) and six application examples. Our sensing technique supports existing uses (e.g., prototyping) and highlights the growing promise to produce interactive devices entirely with 3D printing. Project website: https://github.com/d-rep-lab/3dp-singlewire-sensing
title Computational Design and Single-Wire Sensing of 3D Printed Objects with Integrated Capacitive Touchpoints
topic Graphics
Human-Computer Interaction
url https://arxiv.org/abs/2509.25387