DRG-Keyboard

Author:

Liang Chen1ORCID,Hsia Chi1ORCID,Yu Chun1ORCID,Yan Yukang1ORCID,Wang Yuntao1ORCID,Shi Yuanchun1ORCID

Affiliation:

1. Department of Computer Science and Technology, Tsinghua University; Key Laboratory of Pervasive Computing, Ministry of Education, China

Abstract

We present DRG-Keyboard, a gesture keyboard enabled by dual IMU rings, allowing the user to swipe the thumb on the index fingertip to perform word gesture typing as if typing on a miniature QWERTY keyboard. With dual IMUs attached to the user's thumb and index finger, DRG-Keyboard can 1) measure the relative attitude while mapping it to the 2D fingertip coordinates and 2) detect the thumb's touch-down and touch-up events combining the relative attitude data and the synchronous frequency domain data, based on which a fingertip gesture keyboard can be implemented. To understand users typing behavior on the index fingertip with DRG-Keyboard, we collected and analyzed user data in two typing manners. Based on the statistics of the gesture data, we enhanced the elastic matching algorithm with rigid pruning and distance measurement transform. The user study showed DRG-Keyboard achieved an input speed of 12.9 WPM (68.3% of their gesture typing speed on the smartphone) for all participants. The appending study also demonstrated the superiority of DRG-Keyboard for better form factors and wider usage scenarios. To sum up, DRG-Keyboard not only achieves good text entry speed merely on a tiny fingertip input surface, but is also well accepted by the participants for the input subtleness, accuracy, good haptic feedback, and availability.

Funder

Natural Science Foundation of China

National Key R&D Program of China

Beijing Academy of Artificial Intelligence (BAAI), 2025 Key Technological Innovation Program of Ningbo City

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Human-Computer Interaction

Reference64 articles.

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. CrossKeys: Text Entry for Virtual Reality Using a Single Controller via Wrist Rotation;International Journal of Human–Computer Interaction;2024-06-05

2. STMG: A Machine Learning Microgesture Recognition System for Supporting Thumb-Based VR/AR Input;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

3. MouseRing: Always-available Touchpad Interaction with IMU Rings;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

4. GestureMark: Shortcut Input Technique using Smartwatch Touch Gestures for XR Glasses;Proceedings of the Augmented Humans International Conference 2024;2024-04-04

5. HCI Research and Innovation in China: A 10-Year Perspective;International Journal of Human–Computer Interaction;2024-03-22

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