Font Size: a A A

A P300-based System For Online Chinese Input

Posted on:2016-05-26Degree:MasterType:Thesis
Country:ChinaCandidate:X XuFull Text:PDF
GTID:2348330479486854Subject:Control Science and Engineering
Abstract/Summary:PDF Full Text Request
A lot of people with normal thought but dyspraxia(such as amyotrophic lateral sclerosis, severe spinal cord injury or completely paralyzed patients) have no ability to communicate with the outside world in their daily life. So scientists propose a new type of technology that BCI(Brain-Computer Interface, BCI).The BCI is a new human-computer communication tool that allows people to control external devices or output character without participation of peripheral muscle. The P300 potential is often applied widely into BCI, because of multiple targets and less individual differences. At present, typing systems are basically aimed at English or Arabic numerals. The paper proposes a BCI system base on P300 for Chinese output, according to few people can use English expertly in China.The main contributions of this paper are as follows:First, a BCI platform based on P300 is designed, adding with new two-stage interface, which can generate stimulation interface, gather the electroencephalogram(EEG), store the signal and analyze the signal, finally display the process result.Second, a new experimental paradigm is designed, add Natural Language Processing method(NLP) into the paradigm, which create a priori information using NLP in information field, be propitious to choose the target character, and improve the communication rate and the correct rate of the system.At last, in order to improve the system performance, adding Steady-State Visual Evoked Potential(SSVEP) optimizes the BCI system based on a single signal that come into a hybrid system, the result indicate the system communication rate is improvement significantly. Also compare the similarities and differences in P300 evoked potentials and SSVEP potential of the single system and the hybrid system.
Keywords/Search Tags:Brain-Computer Interface(BCI), P300 Potentials, Steady-State Visual Evoked Potential(SSVEP), Hybrid system
PDF Full Text Request
Related items