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