HaloTouch: Using IR Multi-Path Interference to Support Touch Interactions with General Surfaces

要旨

Sensing touch on arbitrary surfaces has long been a goal of ubiquitous computing, but often requires instrumenting the surface. Depth camera-based systems have emerged as a promising solution for minimizing instrumentation, but at the cost of high touch-down detection error rates, high touch latency, and high minimum hover distance, limiting them to basic tasks. We developed HaloTouch, a vision-based system which exploits a multipath interference effect from an off-the-shelf time-of-flight depth camera to enable fast, accurate touch interactions on general surfaces. HaloTouch achieves a 99.2% touch-down detection accuracy across various materials, with a motion-to-photon latency of 150 ms. With a brief (20s) user-specific calibration, HaloTouch supports millimeter-accurate hover sensing as well as continuous pressure sensing. We conducted a user study with 12 participants, including a typing task demonstrating text input at 26.3 AWPM. HaloTouch shows promise for more robust, dynamic touch interactions without instrumenting surfaces or adding hardware to users.

著者
Ziyi Xia
University of British Columbia, Vancouver, British Columbia, Canada
Xincheng Huang
University of British Columbia, Vancouver, British Columbia, Canada
Sidney S. Fels
University of British Columbia, Vancouver, British Columbia, Canada
Robert Xiao
University of British Columbia, Vancouver, British Columbia, Canada
DOI

10.1145/3706598.3714179

論文URL

https://dl.acm.org/doi/10.1145/3706598.3714179

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Immersive Touch and Gesture Interaction

G303
7 件の発表
2025-04-30 20:10:00
2025-04-30 21:40:00
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