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

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.

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Publication Details

Published
2025-11-14
DOI
https://doi.org/10.1145/3745778.3766650
Citations
2
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
1.35
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article

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

Danielle Albers Szafir, S. Sandra Bae, Michael L. Rivera, Ellen Yi–Luen et al.
2 citations
Advanced Sensor and Energy Harvesting Materials
1.35
article

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

Danielle Albers Szafir, S. Sandra Bae, Michael L. Rivera, Ellen Yi–Luen, Takanori Fujiwara
article en
2 citations

Abstract

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.

Linköping University (SE), University of North Carolina at Chapel Hill (US), Space Science Institute (US), University of Arizona (US), University of Colorado Boulder (US)
Openalex Percentile: Top 17%
Advanced Sensor and Energy Harvesting Materials
1.35
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