~/talk

Capacitivo: Contact-Based Object Recognition on Interactive Fabrics using Capacitive Sensing

Talkat UIST 2020 · 2020-10-20..10-23· [embedded-and-hardware]
name:Te-Yen Wu
links:none on file
name:Lu Tan
links:none on file
links:none on file
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slides:none on file

Capacitivo uses a resonance-based capacitive sensor built as a 12 x 12 electrode grid of conductive fabric with a ground plane, tuned to 7mm electrode size and 4mm spacing. It classifies 20 everyday nonmetallic objects and six liquids using 86 hand-crafted features and a random forest model, achieving 94.5% accuracy across a 10-person study and 90% accuracy on liquids (96% if beer is excluded). The DIY textile prototype and demos work in real time.

AI-written summary · about

  1. 0:00Introduction
  2. 2:12Sensor Design
  3. 5:08Fabrication
  4. 5:52Demonstration
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