基于脑电的增强认知认知状态估计

Deniz Erdoğmuş, A. Adami, M. Pavel, Tian Lan, S. Mathan, S. Whitlow, M. Dorneich
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引用次数: 23

摘要

增强认知是一个新兴的概念,其目的是在自适应辅助的基础上提高用户的表现和认知能力。这种系统的一个组成部分是对用户即时认知状态的自动评估。本文描述了一种基于动态用户脑电测量的自动认知状态估计方法。在这种情况下,所需的鲁棒性是通过使用基于互信息的降维方法,结合分类器委员会和中值过滤异常值拒绝元素来实现的。我们提出了与在移动和静止模式下执行的认知任务相关的分类结果
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cognitive State Estimation Based on EEG for Augmented Cognition
Augmented cognition is an emerging concept that aims to enhance user performance and cognitive capabilities on the basis of adaptive assistance. An integral part of such systems is the automatic assessment of the instantaneous cognitive state of the user. This paper describes an automatic cognitive state estimation methodology based on the use of EEG measurements with ambulatory users. The required robustness in this context is achieved through the use of a mutual information based dimensionality reduction approach in conjunction with a committee of classifiers, and median filter outlier rejection element. We present classification results associated with cognitive tasks performed in mobile and stationary modalities
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