Robust Eye-Based Dwell-Free Typing

For a subset of physically challenged people, assistive technologies, such as alternative form of text entry, can be of tremendous benefit. However, speed of text entry with current methods limits their more widespread adoption. Eye gaze technologies have potential for text entry, but still tend to...

Full description

Saved in:
Bibliographic Details
Main Authors: Liu, Yi, Lee, Bu-Sung, McKeown, Martin J.
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2016
Subjects:
Online Access:https://hdl.handle.net/10356/83395
http://hdl.handle.net/10220/41434
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-83395
record_format dspace
spelling sg-ntu-dr.10356-833952020-11-01T04:45:48Z Robust Eye-Based Dwell-Free Typing Liu, Yi Lee, Bu-Sung McKeown, Martin J. School of Computer Science and Engineering Interdisciplinary Graduate School (IGS) Assistive technologies Eye typing For a subset of physically challenged people, assistive technologies, such as alternative form of text entry, can be of tremendous benefit. However, speed of text entry with current methods limits their more widespread adoption. Eye gaze technologies have potential for text entry, but still tend to be relatively slow. Recently dwell-free eye-typing systems have been proposed, but can be vulnerable to common text entry problems, such as selection of the wrong letters. In this article, a recognition approach for inferring the words which the user intends to type is proposed. The method is robust to missing letters and even when a neighboring letter on the keyboard is incorrectly selected. Simulation and experiment results suggest that our proposed approach has better accuracy and more resilience to common text entry errors than other currently proposed dwell-free systems. Accepted version 2016-09-07T08:46:03Z 2019-12-06T15:21:31Z 2016-09-07T08:46:03Z 2019-12-06T15:21:31Z 2016 Journal Article Liu, Y., Lee, B.-S., & McKeown, M. J. (2016). Robust Eye-Based Dwell-Free Typing. International Journal of Human-Computer Interaction, 32(9), 682-694. 1044-7318 https://hdl.handle.net/10356/83395 http://hdl.handle.net/10220/41434 10.1080/10447318.2016.1186307 en International Journal of Human-Computer Interaction © 2016 Taylor & Francis. This is the author created version of a work that has been peer reviewed and accepted for publication by International Journal of Human-Computer Interaction, Taylor & Francis. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1080/10447318.2016.1186307]. 50 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Assistive technologies
Eye typing
spellingShingle Assistive technologies
Eye typing
Liu, Yi
Lee, Bu-Sung
McKeown, Martin J.
Robust Eye-Based Dwell-Free Typing
description For a subset of physically challenged people, assistive technologies, such as alternative form of text entry, can be of tremendous benefit. However, speed of text entry with current methods limits their more widespread adoption. Eye gaze technologies have potential for text entry, but still tend to be relatively slow. Recently dwell-free eye-typing systems have been proposed, but can be vulnerable to common text entry problems, such as selection of the wrong letters. In this article, a recognition approach for inferring the words which the user intends to type is proposed. The method is robust to missing letters and even when a neighboring letter on the keyboard is incorrectly selected. Simulation and experiment results suggest that our proposed approach has better accuracy and more resilience to common text entry errors than other currently proposed dwell-free systems.
author2 School of Computer Science and Engineering
author_facet School of Computer Science and Engineering
Liu, Yi
Lee, Bu-Sung
McKeown, Martin J.
format Article
author Liu, Yi
Lee, Bu-Sung
McKeown, Martin J.
author_sort Liu, Yi
title Robust Eye-Based Dwell-Free Typing
title_short Robust Eye-Based Dwell-Free Typing
title_full Robust Eye-Based Dwell-Free Typing
title_fullStr Robust Eye-Based Dwell-Free Typing
title_full_unstemmed Robust Eye-Based Dwell-Free Typing
title_sort robust eye-based dwell-free typing
publishDate 2016
url https://hdl.handle.net/10356/83395
http://hdl.handle.net/10220/41434
_version_ 1683494446766751744