基于TGAM的意念阅读系统

Methods of Reading App Using Waves Control

针对目前可穿戴设备在生活中的广泛应用,通过脑电波信号和眨眼数据的协同控制的阅读App丰富了传统的阅读方式。脑电波信号可以反映人的专注状态,通过对人的注意力和放松度以及眨眼算法的研究,对被试者左前额脑电信号Attention和Meditation以及Blink的数据进行关系分析的基础上,设计基于TGAM脑电波模块协同眨眼操作实现翻页功能的阅读App,达到解放双手的目的。

In view of the wide application of wearable devices in daily life,the reading APP,which is controlled by brain wave signals and blink data,enriches the traditional way of reading.Eeg signal can reflect the state of focus,through to the people's Attention and relaxation degree and Blink algorithm research,the subjects in the left prefrontal electrical signals Attention and Meditation,and based on the analysis of the relationship between the data of Blink,design based on TGAM brain wave module the Blink of an eye operation achieve paging capabilities of reading APP,achieve the goal of liberation of his hands.