The effect of spatial consistence on character recognition of brain-computer interface

Jingjing Yang, Qi Wu, Xiao Dong, Xiujun Li, Qi Li, Jinglong Wu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Brain-computer interface technology has broad application prospect in the field of elderly care, disabled assistance, rehabilitation, hazardous environment operation, military and so on. However, the brain-computer interface technology is unable to meet the needs of practical application because of low accuracy and information transfer rate. We investigate the neural mechanisms of higher cognition of simultaneous audiovisual stimuli and ascertain neural mechanisms of modulation of spatial consistency on the processing of audiovisual information. Visual stimulus was English alphabetical and auditory stimulus was alphabetical pronunciation. Stimulus were presented in consistent and inconsistent positions. Through analysis of experimental results, it was found that the spatial consistency of stimulation affected the event-related potential component. The N1 and P2 components induced by inconsistent stimulation are significantly smaller than the consistent stimulus, but the inconsistent stimulus induces a larger P300 component. This result can improve the experimental paradigm of BCI character recognition system.

Original languageEnglish
Title of host publicationProceedings of 2019 IEEE International Conference on Mechatronics and Automation, ICMA 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages910-915
Number of pages6
ISBN (Electronic)9781728116983
DOIs
Publication statusPublished - Aug 2019
Externally publishedYes
Event16th IEEE International Conference on Mechatronics and Automation, ICMA 2019 - Tianjin, China
Duration: 4 Aug 20197 Aug 2019

Publication series

NameProceedings of 2019 IEEE International Conference on Mechatronics and Automation, ICMA 2019

Conference

Conference16th IEEE International Conference on Mechatronics and Automation, ICMA 2019
Country/TerritoryChina
CityTianjin
Period4/08/197/08/19

Keywords

  • Brain-computer interface
  • Character recognition
  • Spatial consistence

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