使用平滑的眼球运动,无需校准的文本输入

Yasmeen Abdrabou, Mariam Mostafa, M. Khamis, Amr Elmougy
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引用次数: 7

摘要

在本文中,我们提出了一种基于眼球平滑追踪运动的无标定文本输入系统。我们报告了我们的实现,它改进了之前在平滑追踪文本输入方面的工作:1)消除了使用运动相关校准的需要,2)将输入速率从每分钟3.34个单词提高到3.41个单词,3)在文献中推荐的10,000个词典句子上训练的文本建议。我们报告了一项用户研究(N=26),该研究表明,在没有校准和用户培训的情况下,用户能够以每分钟3.41个单词的速度进行眼睛类型识别。定性反馈也表明用户对系统有积极的看法。我们的工作对残疾用户和在声音和触觉输入不可行的情况下(例如,在嘈杂的环境中或当手被占用时)特别有益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Calibration-free text entry using smooth pursuit eye movements
In this paper, we propose a calibration-free gaze-based text entry system that uses smooth pursuit eye movements. We report on our implementation, which improves over prior work on smooth pursuit text entry by 1) eliminating the need of calibration using motion correlation, 2) increasing input rate from 3.34 to 3.41 words per minute, 3) featuring text suggestions that were trained on 10,000 lexicon sentences recommended in the literature. We report on a user study (N=26) which shows that users are able to eye type at 3.41 words per minutes without calibration and without user training. Qualitative feedback also indicates that users positively perceive the system. Our work is of particular benefit for disabled users and for situations when voice and tactile input are not feasible (e.g., in noisy environments or when the hands are occupied).
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