RingVKB: A Ring-Shaped Virtual Keyboard Using Low-Cost IMU

Author:

Li Zhenjiang1ORCID,Zhang Xinglin1ORCID,Wu Chenshu2ORCID

Affiliation:

1. South China University of Technology, Guangzhou, China

2. University of Hong Kong, Hong Kong, China

Abstract

Wearable devices have been important components for ubiquitous computing. However, text input remains challenging on wearables due to the lack of a physical keyboard. In this paper, we propose a novel ring-shaped virtual keyboard system named RingVKB for convenient text input using low-cost IMUs available on any wearables. At the core of RingVKB are two novel designs: 1) A circular keyboard layout with 12 equal sectors, which assembles all common keys on classical keyboards while allowing users to type with only one finger effectively, and 2) an error control algorithm that calculates the relative displacement of keystrokes from the noisy IMU sensor data. The two components, coupled together, enable high-accuracy and efficient text input for ubiquitous scenarios.We implement RingVKB using a small device consisting of a microcontroller and a MEMS sensor, which can be attached to the user's index finger.Experimental results show that RingVKB can effectively improve the relative displacement estimation accuracy, and achieves an overall keystroke recognition accuracy of 93% for 25 key positions. A user study also shows that RingVKB is easy to learn and use. Using only low-cost IMU sensors, RingVKB provides a virtual keyboard solution that can be widely adopted on wearables.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Human-Computer Interaction,Social Sciences (miscellaneous)

Reference42 articles.

1. UOIT Keyboard: A Constructive Keyboard for Small Touchscreen Devices

2. Implementation of a Character Recognition System Based on Finger-Joint Tracking Using a Depth Camera

3. Handwriting-Assistant

4. MagX

5. Ke-Yu Chen , Kent Lyons , Sean White , and Shwetak N. Patel . 2013. uTrack: 3D input using two magnetic sensors . In ACM Symposium on User Interface Software and Technology (UIST). 237--244 . https://doi.org/10.1145/250 1988 .2502035 10.1145/2501988.2502035 Ke-Yu Chen, Kent Lyons, Sean White, and Shwetak N. Patel. 2013. uTrack: 3D input using two magnetic sensors. In ACM Symposium on User Interface Software and Technology (UIST). 237--244. https://doi.org/10.1145/2501988.2502035

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