~/talk

Indutivo: Contact-Based, Object-Driven Interactions with Inductive Sensing

Talkat UIST 2018 · 2018-10-14..10-17
name:Jun Gong
links:none on file
name:Xin Yang
links:none on file
links:none on file
links:none on file
links:none on file
slides:none on file

Contact-based inductive sensing recognizes conductive household objects and tracks sliding, hinging and rotation on a smartwatch by using a circular array of five coils, an LC‑tank read by a Texas Instruments inductance sensor, and a small TFT for feedback. A collected footprint database enables real‑time matching with 95.8% object classification, sliding error under 1 mm on average, hinge error ~1.64°, and 93% rotation accuracy. Demonstrations include app launch, sliding control and hinge-triggered calorie logging five-coil array, LC-tank inductance readout, 95.8% classification accuracy.

AI-written summary · about

  1. 0:00Introduction to Indutivo
  2. 0:28What is Indutivo
  3. 1:10Motivation for object-driven interactions
  4. 2:37How Indutivo works technically
  5. 4:01Designing sensing coils
  6. 5:46Prototype and system setup
  7. 6:29Real-time object recognition
  8. 8:17Accuracy validation with user study
  9. 9:20Precise object manipulation
  10. 12:09Demo applications
  11. 13:37Future work and potential
  12. 14:19Take-home messages
  13. 15:03Q&A session
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