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首页> 外文期刊>International journal of biomedical engineering and technology >Voluntary eye movement controlled electrooculogram based multitasking graphical user interface
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Voluntary eye movement controlled electrooculogram based multitasking graphical user interface

机译:基于自愿眼动控制的眼电图的多任务图形用户界面

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摘要

An alternative for the physically challenged people to live independently is smart houses with assistive technology. Here an assistive computer aided multitasking graphical user interface (GUI) controlled by eye movements for the disabled individuals, especially for those with severe paralysis, has been presented. Electrooculogram (EOG) signals were acquired for horizontal, vertical eye movements and blinks using Ag/AgCl surface electrodes. After pre-processing, the signals were classified based on their amplitudes to generate control commands to drive a GUI. Finally the application of the GUI is tested with six healthy subjects by performing different icon selection by controlling the mouse pointer with eye movements. The users completed the testing process in a reasonable time and the speed improves with training. For the real-time control of the GUI, the proposed approach yields 95.83% accuracy. The results suggest that the GUI can be used by disabled people with more improved control scheme.
机译:对于残障人士来说,独立生活的另一种选择是带有辅助技术的智能房屋。在这里,已经提出了由残疾人的眼睛运动控制的辅助计算机辅助的多任务图形用户界面(GUI),特别是对于那些患有严重瘫痪的残疾人。使用Ag / AgCl表面电极获取眼图水平和垂直运动的眼电图(EOG)信号并眨眼。在预处理之后,根据信号的幅度对信号进行分类,以生成控制命令来驱动GUI。最后,通过用眼球运动来控制鼠标指针来执行不同的图标选择,从而对六个健康的对象测试了GUI的应用。用户在合理的时间内完成了测试过程,并且通过培训提高了速度。对于GUI的实时控制,所提出的方法可产生95.83%的精度。结果表明,GUI可以由残障人士使用,并且控制方案更加完善。

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