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Optimization Research of Interface of Gas Monitoring System Based on EEG Feedback

机译:基于EEG反馈的气体监测系统界面优化研究

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Coal mine gas drainage monitoring system terminal software interface to achieve human-computer interaction, display system equipment installation and operation status, when there is a state change or fault alarm indication, it needs special attention of the staff. In this paper, the β wave index in EEG (electroencephalogram) under different background color and parameter display stimulation is evaluated by experiment. According to the different attention degree caused by the determination of β wave component size, the human-computer interface is optimized and designed to improve the field application effect.
机译:煤矿燃气排水监控系统终端软件界面实现人机交互,显示系统设备安装和操作状态,当存在状态变化或故障报警指示时,需要特别注意员工。本文通过实验评估了不同背景颜色和参数显示刺激下EEG(脑电图)中的β波指数。根据β波分量尺寸的确定引起的不同关注度,人机界面被优化和设计以改善现场应用效果。

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