A contact-based inductive sensing technique for contextual interactions on interactive fabrics is described. The technique recognizes conductive objects (mainly metallic) that are commonly found in households and workplaces, such as keys, coins, and electronic devices. An apparatus includes an array of a plurality of six by six spiral-shaped coils including conductive thread, sewn onto a four-layer fabric structure. The coil shape parameters were determined based on maximizing the sensitivity based on a new inductance approximation formula. Through a ten-participant study, the performance of sensing technique across 27 common objects was evaluated. A 93.9% real-time accuracy for object recognition resulted.
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