DocumentCode :
1680913
Title :
Peculiarity Oriented Multi-Aspect Brain Data Analysis for Studying Human Multi-Perception Mechanism
Author :
Zhong, Ning ; Motomura, Shinichi ; Wu, Jing-Long
Author_Institution :
Maebashi Institute of Technology
fYear :
2005
Firstpage :
306
Lastpage :
309
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 extracted from 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 wayfor automatic analysis and understanding of human brain data to replace human-expert centric visualization. We attempt to change the perspective of cognitive scientists from a single type of experimental data analysis towards a holistic view.
Keywords :
Brain modeling; Data analysis; Data mining; Electroencephalography; Frequency; Humans; Image analysis; Information processing; Intelligent structures; Intelligent systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applications and the Internet Workshops, 2005. Saint Workshops 2005. The 2005 Symposium on
Print_ISBN :
0-7695-2263-7
Type :
conf
DOI :
10.1109/SAINTW.2005.1620036
Filename :
1620036
Link To Document :
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