组织与拟人助教机器人互动时，基于脑电图信号的学习者行为纠正决策

Proceedings of the Fourth Workshop on Computer Modelling in Decision Making (CMDM 2019) Pub Date : 2019-12-12 DOI:10.2991/ahcs.k.191206.013

M. Stepanov, V. Musatov, I. Egorov, S. Pchelintzeva, A. V. Stepanov

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引用次数: 1

摘要

本研究讨论了利用机器人的硬件软件复合体——拟人化助理教师——在同化教材过程中，基于对脑电图信号的分析，利用人工神经网络识别学习者状态的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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On Making a Decision to Correct the Learner Behavior Based on the Signals of their Electroencephalograms When Organizing Interaction with an Anthropomorphic Teacher-Assistant Robot

The work discusses the method of recognizing the state of a learner using artificial neural networks based on the analysis of electroencephalogram signals during the assimilation of educational material using a hardware software complex of a robot – an assistant teacher of anthropomorphic type.

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Proceedings of the Fourth Workshop on Computer Modelling in Decision Making (CMDM 2019)

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