首页    期刊浏览 2024年11月06日 星期三
登录注册

文章基本信息

  • 标题:Visual Exploration of Complex Network Data Using Affective Brain-Computer Interface
  • 本地全文:下载
  • 作者:Sergey V. Kovalchuk ; Denis M. Terekhov ; Aleksey A. Bezgodov
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2013
  • 卷号:4
  • 期号:7
  • DOI:10.14569/IJACSA.2013.040703
  • 出版社:Science and Information Society (SAI)
  • 摘要:This paper describes the current state of the work aimed towards an affective application of BCI to the task of complex data visual exploration. The developed technological approach exploits the idea of supporting tacit and complex domain-specific knowledge acquisition during the examination of visual images built using large input data sets. The presented experimental research on the complex network data exploration process shows the capabilities of the presented approach through the analysis of a user’s affective state estimation.
  • 关键词:thesai; IJACSA; thesai.org; journal; IJACSA papers; affective brain-computer interface; complex network data; visualisation; virtual reality; domain-specific knowledge; human-computer interaction.
国家哲学社会科学文献中心版权所有