这是对论文“Hybrid EEG-EOG Brain-Computer Interface System for Practical Machine Control
Yunyong Punsawad, Yodchanan Wongsawat, M. Parnichkun 11 November 2010”的设计回应。​​

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This is a design response to the research paper:

Hybrid EEG-EOG Brain-Computer Interface System for Practical Machine Control
Yunyong Punsawad, Yodchanan Wongsawat, M. Parnichkun 11 November 2010

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这是一个由p5.js编码的交互画布，受脑电图头盔和眼动传感器控制。用户可以通过注视屏幕不同区域以及思考左转和右转来控制圆圈的运动和颜色变化。白色和蓝色分别映射为用户大脑发出的“左转”和“右转”控制命令。最后，可以绘制出由不同颜色深浅形成的路径。通过视觉和脑电波控制，用户可以体验论文中描述的研究内容。

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A simple p5.js coded webpage interaction canvas controlled by an EEG helmet and an eye-tracking sensor. The user can control a circle’s movement and color change by looking at different screen areas and thinking about turning left and right. White color and blue colors are mapped to the control commands “turn left” and “turn right” sent by the user’s mind. Finally, a path formed by different color depths can be drawn. Using vision and brainwaves for control allows users to experience the research described in the paper.