Real-time concentration measurement through forehead cerebral blood flow dynamics using NIRS
Real-time concentration measurement through forehead cerebral blood flow dynamics using NIRS
复制标题
使用 NIRS 通过前额脑血流动力学实时测量浓度
DOI：
10.1109/bci51272.2021.9385327
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
A. Inoue
中科院分区：
文献类型：
--
作者：
K. Tsuru;A. Inoue
使用连接到网络的设备的在线学习已经变得普遍。然而，提供者很难评估参加在线学习课程的学习者的集中状态。因此，在本研究中，我们使用光学地形仪（近红外光谱：NIRS）测量了与浓度高度相关的前额脑血流动力学，并进行了测量浓度水平的实验。要求受试者回答在线学习教材;测量当时的浓度变化，并使用神经网络（NN）进行分析。通过选择测量脑血流量的传感器，我们能够正确区分78.5%的浓度状态的数据。此外，通过在记录的同时分析NIRS数据，可以实时测量和可视化受试者的浓度状态。
Online learning using devices attached to a network has become widespread. However, it is difficult for the provider to evaluate the concentration status of learners who take online learning courses. Therefore, in this study, we measured the cerebral blood flow dynamics of the forehead, which is highly related to concentration, with an optical topography device (near-infrared spectroscopy: NIRS), and conducted an experiment to measure the concentration level. The subjects were asked to address online learning teaching materials; the change in concentration at that time was measured, and a neural network (NN) was used for analysis. By selecting a sensor that measures cerebral blood flow, we were able to correctly discriminate the data of 78.5% of the concentration state. Furthermore, by analyzing the NIRS data at the same time as recording, it was possible to measure and visualize the concentration state of the subjects in real-time.