Knowledge Commons of Institute of Automation,CAS
Using EEG Nonlinear Dynamic Features and Machine Learning to Identify Different Organizational Commitment | |
Zhang R(张睿)1,2; Wang ZY(王子洋)2; Liu Y(刘禹)2 | |
2022 | |
会议名称 | 2022 5th International Conference on Data Science and Information Technology (DSIT 2022) |
会议日期 | 2022.7.22 |
会议地点 | 中国 上海 |
会议录编者/会议主办者 | 上海交通大学 ; 国际计算机应用技术学会 |
摘要 | As machine learning has greatly improved the depth and width of EEG analysis and psychological research, it has become possible to analyze the relatively stable personalities of individuals based on EEG. In this paper, we recorded the resting-state EEG of subjects, labeled them using their score of organizational commitment,and achieved automatic recognition. In order to complete such a new challenging classification task, we extracted a variety of different nonlinear dynamic features from resting-state EEG, and then used different machine learning models (SVM, GBDT, KNN, LR, Gaussian NB) to classify these features, and next evaluated experimental results based on cross-validation. The results show that Permutation Entropy and Approximate Entropy achieved best accuracy, which both obtained an overall accuracy of more than 70% based on machine learning. Furthermore, we adopted a stacking strategy and constructed a fusion model to improve the performance. The experimental results show that using the Stacking model to classify the Permutation Entropy of EEG can achieve an overall accuracy of 82.6% with 83.3% recall and 0.827 F1-score. In addition, we also conducted a comparative analysis of EEG signals with different lengths of sample and compare eyes-open and eyes-closed EEG. |
语种 | 英语 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/48489 |
专题 | 多模态人工智能系统全国重点实验室_脑机融合与认知评估 |
通讯作者 | Liu Y(刘禹) |
作者单位 | 1.中国科学院大学 2.中国科学院自动化研究所 |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Zhang R,Wang ZY,Liu Y. Using EEG Nonlinear Dynamic Features and Machine Learning to Identify Different Organizational Commitment[C]//上海交通大学, 国际计算机应用技术学会,2022. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Using EEG Nonlinear (777KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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