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Towards Affective Learning with an EEG Feedback Approach

机译:通过脑电图反馈方法进行情感学习

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摘要

In the distance learning program, students' emotions need to be recognized and interpreted so as to motivate students and deepen learning. This paper focuses on how to conduct interactive learning between learners and teachers, and also proposes our solution based on EEG signal processing. We have set up a simulated environment of distance education, and recorded EEG signals of learners when they are visiting the website. We extract alpha waves (I.e., a component of EEG signals), and then merge it with the ontology of the website.
机译:在远程学习计划中,需要认识和解释学生的情绪,以激励学生并加深学习。本文着重于如何进行学习者与教师之间的互动学习,并提出了基于脑电信号处理的解决方案。我们建立了一个模拟的远程教育环境,并记录学习者访问网站时的EEG信号。我们提取alpha波(即EEG信号的一部分),然后将其与网站的本体合并。

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