InvisIto: Weaving Unobtrusive Infrared Markers for Ubiquitous Textile Interaction

August 12, 2026 ยท Grace Period ยท ๐Ÿ› UIST 2026

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Authors Hsuanling Lee, Hal Sugiyama, Tian Min, Hanako Fujino, Mayuka Kuwana, Yuta Sugiura, Mustafa Doga Dogan, Liang He, Koya Narumi arXiv ID 2608.12580 Category cs.HC: Human-Computer Interaction Citations 0 Venue UIST 2026
Abstract
Textiles are increasingly explored as media for interacting with digital information. However, many of the existing approaches rely on visible tags, printed overlays, or electronic modules that compromise the fabric's aesthetic and tactile qualities. To address this, we present InvisIto, a method for weaving visually unobtrusive yet machine-readable infrared markers directly into fabrics using near-infrared (NIR)-absorbing yarns. Although these yarns look similar to standard fibers in ambient light, they produce strong contrast in NIR imaging. Our method includes: (1) a design tool that helps users easily embed infrared markers into weaving drafts, (2) five disguising strategies that further reduce marker visibility under ambient light, and (3) a camera-based detection pipeline for decoding and tracking the woven markers. InvisIto supports both woven QR codes for data encoding and woven ArUco markers for binary input and deformation tracking. We demonstrate applications across hand weaving, Jacquard weaving, and industrial fabrication, showing that InvisIto supports scalable interaction and fabrication from bespoke artifacts to mass production.
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