2026-03-23 東北大学
東北大学の研究グループは、指先の皮膚が押されると白くなる「ブランチング現象」を利用し、AR/MR機器向けの新しい入力技術「BlanchTouch」を開発した。従来の空中ジェスチャは疲労や触覚欠如の課題があり、既存のタッチ手法は専用センサを必要としたが、本手法ではカメラ映像とAI解析のみで指先の接触を検出可能とした。これにより、壁や机などの身近な平面をタッチパネルとして利用でき、追加装置や事前設定なしで直感的な操作を実現する。AR/MRの操作性向上と日常利用の拡大を支える基盤技術として期待される。

図1. 指先を壁などの平面に押し当てた際に生じる皮膚の色の変化(ブランチング現象)。
<関連情報>
BlanchTouch:平面上のタッチ入力向けに、指先のブランチ検出機能をミックスドリアリティへ導入
BlanchTouch: Bringing Fingertip Blanch Detection into Mixed Reality for Touch Input on Flat Surfaces
Guanghan Zhao, Yangyang Cai, Kazuyuki Fujita, Robert W. Lindeman, Yoshifumi Kitamura
IEEE Xplore
口頭発表: 2026 IEEE Conference Virtual Reality and 3D User Interfaces (VR), Daegu, Korea, 2026年3月23日
2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR) Date Added to IEEE Xplore:02 April 2026
DOI:https://doi.org/10.1109/VR67842.2026.00051
Abstract
Current Mixed Reality (MR) headsets are typically controlled by mid-air hand inputs, which require significant arm effort and consequently reduce input speed and accuracy during extended sessions. We propose BlanchTouch, a research prototype that explores an alternative touch input approach for MR by appropriating uninstrumented flat surfaces as interactive areas, with reduced arm effort. It incorporates a CNN model that detects the fingertip’s pressure-induced blanching phenomenon when a firm touch is applied to hard surfaces, serving as a confirmation of selection. Additionally, hand tracking via the headset is employed to determine the fingertip’s position, thereby providing targeting information for virtual buttons or objects. BlanchTouch operates using only the headset’s built-in cameras and sensors, without requiring additional hardware or prior surface calibration, enabling walk-up use in unfamiliar environments. We conducted two user studies to evaluate the system and compare its performance against a baseline (a real touchscreen) and the state-of-the-art mid-air interaction. Results demonstrated that BlanchTouch achieved an average input positional error of 5.33mm and a recall rate of 97.88%. Furthermore, the findings indicate that BlanchTouch enables competitive input speeds, alleviates arm strain, and delivers satisfactory feedback for each touch.