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About this paper
Andela Ilic, Junpeng Gao, Zhipeng Li, Yijing Jiang, Rachel Schuchert, Manuel Meier, Philipp Herholz, Christian Holz
Researchers at ETH Zürich developed a computational fabrication pipeline for retrofitting existing 3D objects with surface-conforming multi-touch mutual-capacitance sensing, enabling non-invasive augmentation without internal modifications. The system achieved sub-millimeter to approximately 2 mm localization accuracy and robust touch detection (SNR > 52) on diverse object geometries.
Key insights
- Generating smooth, surface-intrinsic curve families on 3D meshes enables coherent, non-self-intersecting sensor layouts on arbitrary surfaces without requiring global parameterization.
- Constrained optimization effectively selects electrode routings that maximize spatial coverage and uniformity, crucial for consistent multi-touch sensing across complex 3D forms.
- Dynamic projection of sensor layouts onto physical objects provides precise guidance for manual attachment of flexible traces, bridging the gap between digital design and physical augmentation.
Summary by alphaXiv.
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