Investigation of Relationship Between Eye Gaze and Brain Waves towards Smart Sensing for E-learning
Investigation of Relationship Between Eye Gaze and Brain Waves towards Smart Sensing for E-learning
复制标题
电子学习智能传感中眼睛注视与脑电波之间关系的研究
作者：
Koichi Shimoda;Shun Tanabe;Y. Tobe
近年来，我们见证了一种名为e-Learning的新学习趋势，学习者可以通过互联网连接的电子设备来学习课程。虽然电子学习很方便，因为它消除了时间和空间的限制，但很难知道学习者是否真正注意到了学习材料。为了解决这个问题，在我们之前的研究中，我们试图使用脑电(EEG)来调查学习者的注意力。然而，我们以前的研究依赖于主观评价，没有客观观察到脑电信号与学习者的注意力之间的关系。在此背景下，本研究通过比较眼球凝视和脑电结果，找出在网络学习中脑电的合适位置和频段。我们将受试者观看视频讲座期间的脑电结果与未观看的脑电结果进行比较，确定可以通过脑电Logistic回归和支持向量机来预测观看状态。结果表明，测量β波和伽马波以及检查顶区和枕区都是有效的。
In recent years, we have witnessed a new trend of learning called e-learning where learners can take courses using electronic devices with Internet connection. Although e-learning is convenient because it removes temporal and spatial limitations, it is difficult to know whether the learner is really paying attention to the learning materials. To address this problem, we tried to use electroencephalography (EEG) to investigate a learner’s concentration in our previous study. However, our previous study relied on subjective evaluation, and there was no objective observation to relate the EEG signals to the learner’s concentration. Given this background, we compared eye gaze and EEG results to find the appropriate position and frequency band of EEG in e-learning in this study. We compared the EEG result obtained during a period when the subjects were watching a video lecture and that obtained during a period when the subjects were not watching, and determined that the viewing state could be predicted from EEG logistic regression and a support vector machine (SVM). The results suggested that measuring beta and gamma waves and examining the parietal and occipital regions are both effective.