WritingRing: Enabling Natural Handwriting Input with a Single IMU Ring

要旨

Tracking continuous 2D sequential handwriting trajectories accurately using a single IMU ring is extremely challenging due to the significant displacement between the IMU's wearing position and the location of the tracked fingertip. We propose WritingRing, a system that uses a single IMU ring worn at the base of the finger to support natural handwriting input and provide real-time 2D trajectories. To achieve this, we first built a handwriting dataset using a touchpad and an IMU ring (N=20). Next, we improved the LSTM model by incorporating streaming input and a TCN network, significantly enhancing accuracy and computational efficiency, and achieving an average trajectory accuracy of 1.63mm. Real-time usability studies demonstrated that the system achieved 88.7% letter recognition accuracy and 68.2% word recognition accuracy, which reached 84.36% when restricting the output to words within a vocabulary of size 3000. WritingRing can also be embedded into existing ring systems, providing a natural and real-time solution for various applications.

著者
Zhe He
Tsinghua University, Beijing, Beijing, China
Zixuan Wang
Tsinghua University, Beijing, China
Chun Yu
Tsinghua University, Beijing, China
Chengwen Zhang
Tsinghua University, Beijing, China
Xiyuan Shen
University of Washington, Seattle, Washington, United States
Yuanchun Shi
Tsinghua University, Beijing, China
DOI

10.1145/3706598.3714066

論文URL

https://dl.acm.org/doi/10.1145/3706598.3714066

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: Mobile Input

G416+G417
7 件の発表
2025-05-01 18:00:00
2025-05-01 19:30:00
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