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System Development & Application
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 12
3692-3696

Importance selection and recognition of EEG signals guided by virtual human

Yang Shuying
Guo Yangyang
Tian Di
Zhao Min
School of Computer Science & Engineering, Tianjin University of Technology, Tianjin 300384, China
DOI: 10.19734/j.issn.1001-3695.2021.04.0170

Abstract

In order to maintain better recognition robustness in the EEG signals with noise data or missing value, and to reveal the interaction relationship between multiple channels of EEG signals, a series of studies have been carried out. This paper used the random forest algorithm to select the important channels with interaction and remove the irrelevant and redundant channels. It used the state space model to describe the internal motion law of multi-channel, reflecting the relationship between internal state and input or output. It used the EM algorithm to identify the parameters, as the identification features of the state space model. Moreover, this paper identified the extracted features by SE-GRU model, which increased the weight of important features. Generally, this method can effectively improve the classification accuracy on both the public datasets and virtual human guided EEG datasets. Compared with the methods without channel selection, it achieves better results. Meanwhile, through using the final trained model, it achieves the control of virtual human.

Foundation Support

2019 年天津市教育科学规划院教学成果奖重点培育项目(PYGJ-015)
2019年天津市虚拟仿真实验教学项目(津教政办〔2019〕69号)
2020年天津理工大学校级教学基金资助项目(津理工教务〔2020〕15号)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.04.0170
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 12
Section: System Development & Application
Pages: 3692-3696
Serial Number: 1001-3695(2021)12-030-3692-05

Publish History

[2021-12-05] Printed Article

Cite This Article

杨淑莹, 郭杨杨, 田迪, 等. 虚拟人引导的脑电信号重要性选择与识别 [J]. 计算机应用研究, 2021, 38 (12): 3692-3696. (Yang Shuying, Guo Yangyang, Tian Di, et al. Importance selection and recognition of EEG signals guided by virtual human [J]. Application Research of Computers, 2021, 38 (12): 3692-3696. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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