Brain Wave Recognition of Word Imagination Based on Support Vector Machines
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 mainlystudies 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.
Author: Xiaomin Zhang,
Yongping Li, Xushan Peng
Journal Code: jptkomputergg160083
