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LuxAct: Enhance Everyday Objects for Visual Sensing with Interaction-Powered Illumination

on YouTube 13m
Talkat UIST 2025 · 2025-09-28..10-01· [embedded-and-hardware]

speakers

name:Xiaoying Yang
links:none on file
name:Qian Lu
links:none on file
name:Jeeeun Kim
links:none on file
name:Yang Zhang
linkedin:yzhang

resources

video:https://youtu.be/cNj0c0S6w6k
slides:none on file

summary

LuxAct encodes object ID and sensor data into sequences of RGB blinks that are powered by interaction-powered piezoelectric generators (striking and plucking) and decoded by POV cameras on AR headsets. The system uses ternary encoding with four interaction bits — theoretically 3^4 but reduced to 21 circular-unique sequences — and a parallel red/blue LED sensor readout where resistive changes shift color. Decoding uses a color-ratio sensor decoding method (reference bit subtraction) to cancel ambient light; prototypes (hinge, zipper bag, paper-towel weight) work but blinking is visible and fabrication/noise limit scale.

AI-written summary · about

chapters (7)

  1. 0:00Introduction and motivation
  2. 1:30LuxAct system overview
  3. 3:14Interaction-powered illumination
  4. 6:24LED tracking algorithm
  5. 8:09Sensing with color ratio
  6. 10:40Limitations and future work
  7. 11:24Q&A session

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