A Robust Recognition Approach in Eye-Based Dwell-Free Typing

被引：0

作者：

Liu, Yi ^{[1
,2
]}

Lee, Bu-Sung ^{[2
]}

McKeown, Martin J. ^{[3
]}

Lee, Chonho ^{[4
]}

机构：

[1] Nanyang Inst Technol Hlth & Med, Interdisciplinary Grad Sch, Singapore, Singapore

[2] Nanyang Technol Univ, Sch Comp Engn, Singapore, Singapore

[3] Univ British Columbia, Dept Med, Pacific Parkinsons Res Ctr, Vancouver, BC, Canada

[4] Natl Univ Singapore, Sch Comp, Singapore, Singapore

来源：

PROCEEDINGS OF 2015 IEEE INTERNATIONAL CONFERENCE ON PROGRESS IN INFORMATCS AND COMPUTING (IEEE PIC) | 2015年

关键词：

Assistive technologies; Eye-typing; Dwell-free systems;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Alternative form of text entry is a tremendous benefit for a subset of physically challenged people, spurning the development of many assistive technologies. However, speed of text entry with these methods is still a critical problem. Eye gaze technologies have potential for text entry, but still tend to relatively slow. Recently dwell-free eye-typing systems have been proposed, but can be vulnerable to some common text entry problems, such as selection of the wrong character. In this paper, we propose a recognition approach for inferring the words which the user intends to type. The method is robust to missing letters and even when a neighboring character on the keyboard is incorrectly selected. Simulation and experiments results suggest that our proposed approach has better accuracy and more resilience to text entry errors than currently proposed dwell-free systems.

引用

页码：5 / 9

页数：5