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.
Authors
- Danielle Albers Szafir (ORCID: https://orcid.org/0000-0003-3634-8597)
- S. Sandra Bae (ORCID: https://orcid.org/0000-0002-2023-6219)
- Michael L. Rivera (ORCID: https://orcid.org/0000-0002-5998-8039)
- Ellen Yi–Luen (ORCID: https://orcid.org/0000-0002-9948-6375)
- Takanori Fujiwara (ORCID: https://orcid.org/0000-0002-6382-2752)
Institutions
- Linköping University (SE)
- University of North Carolina at Chapel Hill (US)
- Space Science Institute (US)
- University of Arizona (US)
- University of Colorado Boulder (US)
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