脑机接口与眼球追踪器集成控制鼠标

C. Vithalani, H. Mehta, M. Patel
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引用次数: 0

摘要

本文介绍了如何将基于脑电图的脑机接口模块与残障人士的脑机接口设备相结合,实现残障人士与周围世界的互动。脑电图是一种记录大脑自发产生的电活动的成像技术。由于这种便宜且价格合理的BCI模块精度较低,因此不能用于需要许多控制信号来操作任何设备的地方。在本文中,Neurosky的脑波入门套件被用作BCI模块,该模块具有单通道传感器来获取大脑信号。为了提高BCI模块的能力,我们在BCI模块中附加了Eye Gaze Tracker(人机接口)。结合这两种技术,采用Python语言和OpenCV作为第三方模块开发鼠标控制器的windows软件。这个python程序文件也可以用于其他操作系统,如Linux, OSX等。这个软件对肌萎缩性侧索硬化症患者非常有用,瘫痪的人,他们缺乏任何肌肉运动来控制任何设备。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integration of BCI and Eye Gaze Tracker to Control Mouse
This paper represents how EEG based BCI module can be used with HCI devices for the physically disabled people to interact with the surrounding world. EEG is one of the imaging technology which records electrical activity spontaneously generated from the brain. Owing to the less accuracy of this cheaper and affordable BCI module, it cannot be used where many control signals are required to operate any device. In this paper, Neurosky’s Brainwave starter kit has been used as a BCI module which has a mono channel sensor to acquire the brain signals. To increase the ability of such BCI module, Eye Gaze Tracker (Human Computer Interface) has been attached with it. By merging these two techniques, windows software of mouse controller is developed using Python language and OpenCV as a third party module. This python program file can also be used in other operating systems such as Linux, OSX etc. This software can be extremely useful to ALS (Amyotrophic Lateral Sclerosis) patients, paralyzed people, who are lacking any kind of muscular movement to control any devices.
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