Measurement and analysis of Electroencephalogram (EEG) using directional visual stimuli for brain computer interface

Dashun Wang, Takanori Kochiyama, Sheng Fu Lu, Jing Long Wu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper describes an approach to the measurement and analysis of Electroencephalogram (EEG) data to develop a brain- computer interface (BCI). The investigation of the serial information processing of human brain is very important for designing brain computer interfaces. Since EEG signals have a good temporal resolution and can be recorded noninvasively from the scalp, EEG has been used as a basic tool of the brain-computer interface. In this study, we measured EEG signals when subjects view, memorize, and recall the simple visual stimuli with directional information. As a result of the frequency analysis for the EEG signals, we found the task-related power change in particular cortical area. Based on this result, we discussed the information processing in the human visual systems and the applicability of the brain computer interface.

Original languageEnglish
Title of host publicationProceedings of the 2005 International Conference on Active Media Technology, AMT 2005
Pages34-39
Number of pages6
DOIs
Publication statusPublished - Dec 1 2005
Externally publishedYes
Event2005 International Conference on Active Media Technology, AMT 2005 - Kagawa, Japan
Duration: May 19 2005May 21 2005

Publication series

NameProceedings of the 2005 International Conference on Active Media Technology, AMT 2005
Volume2005

Other

Other2005 International Conference on Active Media Technology, AMT 2005
CountryJapan
CityKagawa
Period5/19/055/21/05

Keywords

  • Active media technology
  • Brain computer interface (BCI)
  • Electroencephalograph (EEG)

ASJC Scopus subject areas

  • Engineering(all)

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