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...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2016
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/83395 http://hdl.handle.net/10220/41434 |
| _version_ | 1824454312084897792 |
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| author | Liu, Yi Lee, Bu-Sung McKeown, Martin J. |
| author2 | School of Computer Science and Engineering |
| author_facet | School of Computer Science and Engineering Liu, Yi Lee, Bu-Sung McKeown, Martin J. |
| author_sort | Liu, Yi |
| collection | NTU |
| 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. |
| first_indexed | 2025-02-19T03:20:18Z |
| format | Journal Article |
| id | ntu-10356/83395 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:20:18Z |
| publishDate | 2016 |
| record_format | dspace |
| spelling | ntu-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 |
| spellingShingle | Assistive technologies Eye typing Liu, Yi Lee, Bu-Sung McKeown, Martin J. Robust Eye-Based Dwell-Free Typing |
| title | 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_short | Robust Eye-Based Dwell-Free Typing |
| title_sort | robust eye based dwell free typing |
| topic | Assistive technologies Eye typing |
| url | https://hdl.handle.net/10356/83395 http://hdl.handle.net/10220/41434 |
| work_keys_str_mv | AT liuyi robusteyebaseddwellfreetyping AT leebusung robusteyebaseddwellfreetyping AT mckeownmartinj robusteyebaseddwellfreetyping |