~/talk

EchoSpot: Spotting Your Locations via Acoustic Sensing

Talkat UbiComp 2021 · 2021-09-21..09-26
name:Jie Lian
links:none on file
links:none on file
name:Li Chen
links:none on file
name:Xu Yuan
links:none on file
slides:none on file

EchoSpot implements an indoor locator that uses single speaker + single microphone devices such as Amazon Echo Edifier R1280DB and Logitech z200 to emit FMCW chirps 18–23 kHz and capture reflections. It computes normalized cross correlation to extract time-of-flights, isolates body versus wall echoes by treating the wall as a virtual sender, triangulates 2D position from body and wall ToFs, and smooths output with a Kalman filter. Implemented in real homes it achieves mean errors of 4.1 cm@1m, 9.2 cm@2m, 13.1 cm@3m, 17.9 cm@4m, 22.2 cm@5m, median static 12.4 cm and average tracking error 21.9 cm.

AI-written summary · about

  1. 0:00Intro
  2. 0:17Background
  3. 0:55Existing Works
  4. 1:08Advantage of Acoustic Sensing Acoustic-based Localization
  5. 1:38Weakness of Existing Acoustic Works
  6. 2:09Design Goals of EchoSpot
  7. 2:31Key Idea of Echospot
  8. 3:21System Overview
  9. 5:10Performance Evaluation
  10. 5:58Conclusion
~/search
type to search 6,249 conferences, 138,987 speakers and 185,172 talks
~/help
cmdctrl k
search every conference, speaker and series
/
focus the filter search
h
home
c
conferences
s
speakers
e
series
t
light / dark — the status bar button does the same
?
this help
esc
close this, then clear every filter — or just the search, while you are typing in it

Ignored while you are typing. Pages without a filter rail have no search to focus.