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Detecting facial expressions from EEG signals and head movement for controlling mouse curser

机译:从EEG信号和头部运动中检测面部表情以控制鼠标光标

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摘要

Human-computer interface aims to produce comfort, quick, natural and non-invasive interface method for controlling machines. As computer became essential in modern life, it needs to be naturally integrated and becomes compatible with human activities and senses. As early stages of computer development, human muscles were the only way human can control computer. After voice recognition was developed, it became the new tool which grants human access to computer in more natural way than using hands. This paper suggests a replacement of the traditional way of controlling computer. The new method is based on tiny head movements and eye blinks. The aim of this work is to introduce a new horizon which could replace the traditional method of controlling computer. The suggested solution will not only be offer a natural control method, but also it will allow paralyzed people to have an easy and full control of computer. The proposed method investigates the ability to use facial expression for wider access, such as smile.
机译:人机界面旨在产生舒适,快速,自然和非侵入性的控制机器的界面方法。随着计算机在现代生活中变得必不可少,它需要自然集成并与人类活动和感官兼容。作为计算机发展的早期阶段,人的肌肉是人类控制计算机的唯一方法。语音识别技术发展起来之后,它成为一种新的工具,它使人们可以比使用手更自然的方式访问计算机。本文提出了一种替代传统的计算机控制方式的建议。新方法基于微小的头部运动和眨眼。这项工作的目的是介绍一个可以取代传统的控制计算机方法的新视野。所建议的解决方案不仅将提供自然控制方法,而且还将使瘫痪的人们能够轻松,完全地控制计算机。所提出的方法研究了使用面部表情进行更广泛访问(例如微笑)的能力。

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