Modeling, Simulation and Realization of Writing System Based on BCI Technology

Authors

Chen Chao, 1.Tianjin University of Technology, Tianjin 300384, China; ;2.Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China; ;
Ping Yao, 1.Tianjin University of Technology, Tianjin 300384, China; ;
Bin Hao, 3.Tianjin University of Technology Central Institute of Information, Tianjin 300380, China;
Xu Rui, 2.Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China; ;

Abstract

Abstract: In order to solve the problem of insufficient information transmission and interaction between organisms and electromechanical devices in the integrated system of vital electricity, Emotiv EPOC and mechanical arm of eeg acquisition equipment were used to build a writing system based on brain-computer interface technology with faster information transmission rate The system modeling and simulation were conducted. In the system modeling, the frequency identification of steady-state visual evoked potential was carried out by a combination of bandpass filtering and Canonical Correlation Analysis algorithm, and the accuracy rate of the four classifications was as high as 91.6%. In the online experiment, Emotiv EPOC controlled the mechanical arm to write simple Chinese characters, which showed the purpose of system modeling and simulation was achieved.

Recommended Citation

Chao, Chen; Yao, Ping; Hao, Bin; and Rui, Xu (2019) "Modeling, Simulation and Realization of Writing System Based on BCI Technology," Journal of System Simulation: Vol. 30: Iss. 12, Article 1.
DOI: 10.16182/j.issn1004731x.joss.201812001
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss12/1

First Page

4499

Revised Date

2010-10-30

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201812001

Last Page

4505

CLC

TP391.9

Recommended Citation

Chen Chao, Ping Yao, Hao Bin, Xu Rui. Modeling, Simulation and Realization of Writing System Based on BCI Technology[J]. Journal of System Simulation, 2018, 30(12): 4499-4505.

Corresponding Author

Bin Hao,

DOI

10.16182/j.issn1004731x.joss.201812001