A Usability Study of Low-cost Wireless Brain-Computer Interface for Cursor Control Using Online Linear Model.

A Usability Study of Low-cost Wireless Brain-Computer Interface for Cursor Control Using Online Linear Model.
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DOI:
10.1109/thms.2020.2983848
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发表时间:
2020-08
影响因子:
3.6
通讯作者:
Zhao X
Zhao X
中科院分区:
计算机科学3区
文献类型:
--
作者:
Abiri R;Borhani S;Kilmarx J;Esterwood C;Jiang Y;Zhao X

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利用脑电信号控制光标是一种常见的脑机接口。文献的重点主要是评估辅助脑机接口的客观措施,如神经解码器的准确性,而主观措施,如用户的满意度发挥了至关重要的作用,脑机接口的整体成功。据我们所知,脑机接口文献缺乏一个全面的评估的可用性的精神控制的计算机光标的解码器效率(准确性),用户体验,以及相关的混淆变量有关的平台供公众使用。为了填补这一空白,我们在28名健康参与者中进行了一项基于二维EEG的光标控制实验。计算机光标速度控制的图像的手运动使用的范例在文献中提出的命名为想象的身体运动学(IBK)与低成本的无线EEG耳机。我们评估了不同的客观和主观指标的平台的可用性,同时我们调查了训练阶段可能影响最终BCI结果的程度。实验前后进行问卷调查,以评估其可用性.通过对问卷和测试阶段结果的分析,发现个体的视觉化能力与光标的心理控制水平呈正相关。尽管存在个体差异,但分析训练数据表明眼电图(EOG)对线性模型的预测性具有重要意义。这项工作的结果可能会提供有用的见解,设计一个个性化的以用户为中心的辅助BCI。
Computer cursor control using electroencephalogram (EEG) signals is a common and well-studied brain-computer interface (BCI). The emphasis of the literature has been primarily on evaluation of the objective measures of assistive BCIs such as accuracy of the neural decoder whereas the subjective measures such as user’s satisfaction play an essential role for the overall success of a BCI. As far as we know, the BCI literature lacks a comprehensive evaluation of the usability of the mind-controlled computer cursor in terms of decoder efficiency (accuracy), user experience, and relevant confounding variables concerning the platform for the public use. To fill this gap, we conducted a two-dimensional EEG-based cursor control experiment among 28 healthy participants. The computer cursor velocity was controlled by the imagery of hand movement using a paradigm presented in the literature named imagined body kinematics (IBK) with a low-cost wireless EEG headset. We evaluated the usability of the platform for different objective and subjective measures while we investigated the extent to which the training phase may influence the ultimate BCI outcome. We conducted pre- and post- BCI experiment interview questionnaires to evaluate the usability. Analyzing the questionnaires and the testing phase outcome shows a positive correlation between the individuals’ ability of visualization and their level of mental controllability of the cursor. Despite individual differences, analyzing training data shows the significance of electrooculogram (EOG) on the predictability of the linear model. The results of this work may provide useful insights towards designing a personalized user-centered assistive BCI.
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