~/talk

Facilitating Temporal Synchronous Target Selection through User Behavior Modeling

on YouTube 06m
Talkat UbiComp / ISWC 2020 · 2020-09-12..09-17· [frontend-architecture]

speakers

name:Tengxiang Zhang
links:none on file
name:Xin Yi
links:none on file
name:Ruolin Gao
links:none on file
name:Yuntao Wang
links:none on file
name:Chun Yu
links:none on file
name:Simin Li
links:none on file
name:Yuanchun Shi
links:none on file

resources

video:https://youtu.be/J44H6O9pKSI
slides:none on file

summary

Builds a Gaussian tapping model from a 12‑participant study of 300–700 ms periods (50 ms steps) and uses 2σ lag spacing to generate up to 22 optimized temporal patterns; simulation and a smart‑TV selection study show optimized sets cut correlation recognizer errors from 23% to 7% and a new Bayesian recognizer outperforms correlation on short windows. Implementation works with keyboard taps, a capacitive thumb ring, and RFID foot taps (foot requires longer periods).

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