Title :
Classification of the Direction Perceived EEG Based on ICA-F-Score Approach
Author :
Jin, Jing ; Wang, Xingyu ; Zhang, Jianhua
Author_Institution :
Sch. of Inf. Sci. & Eng. East China, Univ. of Sci. & Technol. Shanghai, Shanghai
Abstract :
An experiment was designed to record the electroencephalography, when people caught the vision of different directional moving. Independent components analysis was used to analyze the EEG signal. The selection of independent component has received a great deal of attention in the field of signal processing and image processing. Here, F-score of multisets was used to select the valuable independent components. The analysis result showed that separable features could be obtained when people had different directional perception.
Keywords :
electroencephalography; independent component analysis; EEG signal; ICA-F-score; direction perceived EEG classification; electroencephalography; independent components analysis; Brain modeling; Design engineering; Electroencephalography; Image processing; Independent component analysis; Information science; Motion analysis; Signal analysis; Signal processing; Turning;
Conference_Titel :
Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1747-6
Electronic_ISBN :
978-1-4244-1748-3
DOI :
10.1109/ICBBE.2008.800
