Brain Wave Recognition of Word Imagination Based on Support Vector Machines

Xiaomin Zhang, Yongping Li, Xushan Peng

Abstract


Brain-computer interface is a kind of new information exchange and control technology, and the key is to give an accurate and timely identification of electrical machine characteristic parameters of thinking expected action pattern and then to transform them into control command. This paper mainly studies the brain wave identification method of the human brain in imagining Chinese words. Researchers have studied the right and left hand movement imagination, but for the study of word recognition, especially Chinese words’ EEG identification research, there are no researches on them. The successful identification of EEG of Chinese words in brain imagination can greatly extend the application scope of BCI, and it plays a role in BCI research.


Keywords


Brain-computer Interface, Brainwave Recognition, Supporting Vector Machines.

Full Text:

PDF


DOI: http://dx.doi.org/10.12928/telkomnika.v14i3A.4391

Article Metrics

Abstract view : 189 times
PDF - 224 times

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

TELKOMNIKA Telecommunication, Computing, Electronics and Control
ISSN: 1693-6930, e-ISSN: 2302-9293
Universitas Ahmad Dahlan, 4th Campus, 9th Floor, LPPI Room
Jl. Ringroad Selatan, Kragilan, Tamanan, Banguntapan, Bantul, Yogyakarta, Indonesia 55191
Phone: +62 (274) 563515, 511830, 379418, 371120 ext. 4902, Fax: +62 274 564604

View TELKOMNIKA Stats