Classify mental states from EEG signal using XGBoost algorithm

• 作者: Yihao Wang
• 来源期刊: 电子研究与应用
• 学科: 文学
• 关键词: communicate TEACHING SUCH
• 年，卷（期）: 2019,（6）
• 页码范围: 18-20
• 页数: 3页
• 分类号: H31

摘要

Brain-computer interface(BCI)is a leadingedge technique which allows the brain communicates with external devices.It has been applied in several fields,such as medical rehabilitation,virtual reality and so on.This invention introduces a technique that can be applied in education field to monitor and analyze users’electroencephalogram(EEG)so that the mental states could be identified.The algorithm of classifier used XGBoost which combined Bayes,KNN and SVM in it and its accuracy could reach to 80%.By using this technique,teacher could obtain the concentration status of students in real time and adjust his or her teaching method or remind the student who is wandering.