Peculiarity oriented multi-aspect brain data analysis for studying human multi-perception mechanism

Ning Zhong, Shinichi Motomura, Jinglong Wu

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

5 Citations (Scopus)

Abstract

In order to investigate the structure of advanced human brain activities, various brain analysis methods are required. It has been observed that multiple brain data such as fMRI brain images and EEG brain waves extractedfrom human multi-perception mechanism involved in a particular task are peculiar ones with respect to the specific state or the relatedpart of a stimulus. Based on this point of view, we propose a way of peculiarity oriented mining for multi-aspect analysis in multiple human brain data, without using conventional image processing to fMRI brain images and frequency analysis to brain waves. The proposed approach provides a new way for automatic analysis and understanding of human brain data to replace human-expert centric visualization. We attempt to change the perspective of cognitive scientistsfrom a single type of experimental data analysis towards a holistic view.

Original languageEnglish
Title of host publicationProceedings - 2005 Symposium on Applications and the Internet Workshops, SAINT2005
Pages306-309
Number of pages4
Volume2005
Publication statusPublished - 2005
Externally publishedYes
Event2005 Symposium on Applications and the Internet Workshops, SAINT2005 - Trento, Italy
Duration: Jan 31 2005Feb 4 2005

Other

Other2005 Symposium on Applications and the Internet Workshops, SAINT2005
CountryItaly
CityTrento
Period1/31/052/4/05

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Zhong, N., Motomura, S., & Wu, J. (2005). Peculiarity oriented multi-aspect brain data analysis for studying human multi-perception mechanism. In Proceedings - 2005 Symposium on Applications and the Internet Workshops, SAINT2005 (Vol. 2005, pp. 306-309). [1620036]