EyeAssist: A communication aid through gaze tracking for patients with neuro-motor disabilities

A. Khasnobish, R. Gavas, D. Chatterjee, Ved Raj, S. Naitam
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引用次数: 8

Abstract

The paper presents EyeAssist, a low cost, user friendly communication aid developed specifically for individuals suffering from neuro-motor problems. Existing gaze based typing systems encounter problems of unintentional key presses, extensive calibration process and inbuilt noise of eye trackers. We tried to solve these problems in the EyeAssist system by employing accurate gaze tracking. Fixation information are derived from the acquired gaze data. The systematic and variable noises of the eye tracker are being removed by graph signal processing based filters, Kalman filter and linear transformation. A unique one-time calibration which is subject and session independent has made the system easy to use without compromising its efficacy. The system has provision for setting variable dwell time according to users' preferences. EyeAssist also provides some unique features like text to speech conversion of typed sentences, predictive word and sentence entry etc. Results show that the average typing rate is 11.8 words per minute with an average error rate of 6.6%. Moreover the error rate reduces drastically with some practice. The system is user friendly, easy to use which makes it a perfect choice for patients suffering with neuro-motor disabilities.
EyeAssist:通过注视跟踪为神经运动障碍患者提供的交流辅助
本文介绍了EyeAssist,一种低成本,用户友好的交流辅助工具,专门为患有神经运动问题的个人开发。现有的基于注视的打字系统存在误按按键、大量校准过程和眼动仪内置噪音等问题。我们试图在EyeAssist系统中通过使用精确的注视跟踪来解决这些问题。注视信息来源于获取的注视数据。采用基于图信号处理的滤波、卡尔曼滤波和线性变换来去除眼动仪的系统噪声和可变噪声。一个独特的一次性校准,这是主题和会话独立,使系统易于使用,而不影响其功效。系统具有根据用户喜好设置可变停留时间的功能。EyeAssist还提供了一些独特的功能,如输入句子的文本到语音转换,预测单词和句子输入等。结果表明,平均打字速度为每分钟11.8个单词,平均错误率为6.6%。此外,经过一些实践,错误率大大降低。该系统用户友好,易于使用,使其成为患有神经运动障碍的患者的完美选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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