基于EOG的书写系统的一种新的编码技术

M. Yıldız
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引用次数: 2

摘要

本研究提出了一种针对眼书写系统的新方法,即在字符编码过程中根据类似的系统使用更少的眼球运动。垂直和水平眼电图(EOG)信号用于编码42个不同的字符,包括字母、数字和标点符号。计算机仿真初步证明了该方法的有效性。之后,用三位志愿者的真实脑电图信号进行测试。可以看到,当所有志愿者使用相同的控制参数时,字符识别算法的准确率为77%。如果志愿者的具体变化应用于控制参数,该算法提供100%的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new coding technique for EOG based writing systems
In this study, a new method, which uses fewer eye movements according to similar systems in character coding, was proposed for eye writing system. Vertical and horizontal electrooculogram (EOG) signals were used for coding the 42 different characters consist of letters, numbers, and punctuation. The efficiency of the method was primarily showed by computer simulations. Afterwards, it was tested with real EOG signals taken from three volunteers. It was seen that, when the same control parameters are used for all volunteers, the character recognition algorithm provides 77% accuracy. If volunteer specific changes are applied at control parameters, the algorithm provides 100% accuracy.
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