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Alternative TitleClassification of EEG Signals in Different States Based on Combined Classifier
张进1; 李伟1; 俞建成1; 徐东岑1; 杜秀兰2
Source Publication控制与决策
Indexed ByEI ; CSCD
EI Accession number20192707153107
Contribution Rank1
Funding Organization国家自然科学基金项目(61473207, 61233013)
Keyword脑电信号分类 手臂操作 组合分类器 距离差值 修正函数 水下机器人操作
Other AbstractIt is difficult to use a single EEG classifier to achieve an ideal recognition accuracy of control intention when the operator is in different operating states and both arm operation and EEG control are used in the underwater vehicle operation. An algorithm is proposed in this paper to improve the recognition accuracy by selecting the classification result by using the combined classifier and correcting the classification result according to the specific situation of the actual operation. Firstly, the Fisher discriminant method is used to train the data generated by the armless operation and the arm operation to get the classifier in two operation states. Secondly, the two classifiers are combined and the curve fitting is used to determine the reference distance difference which is used to determine the classification result (the selection of the difference takes into account individual differences). Thirdly, the distance difference is corrected by the distance correction function according to the particularity of the actual operation situation. Finally, the final classification result is determined by comparing the difference between the reference distance difference and the corrected distance difference. In order to verify the effectiveness of the proposed algorithm, six subjects were invited to participate in the testing process. The experimental results show that the proposed algorithm improves the recognition accuracy by 13.42%, 5.55% and 5.55% respectively compared with the other three methods in the designed online experiment, which demonstrates that the algorithm is feasible and effective.
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Document Type期刊论文
Corresponding Author李伟
Recommended Citation
GB/T 7714
张进,李伟,俞建成,等. 基于组合分类器的不同状态下脑电信号分类[J]. 控制与决策,2019,34(5):897-907.
APA 张进,李伟,俞建成,徐东岑,&杜秀兰.(2019).基于组合分类器的不同状态下脑电信号分类.控制与决策,34(5),897-907.
MLA 张进,et al."基于组合分类器的不同状态下脑电信号分类".控制与决策 34.5(2019):897-907.
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