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• W113304814 abstract "Recently, there are increasing interests in proposing novel people identification methods. In this work we propose to use root mean square (rms) to create a spatial pattern of the Electroencephalogram (EEG), and use this pattern in people identification. The proposed method is straight forward and has low cost of computation comparing to recent published methods such as auto regression (AR), independent component analysis (ICA) or wavelet. More importantly, the proposed method gives very promising results." @default.
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• W113304814 date "2012-01-01" @default.
• W113304814 modified "2023-10-16" @default.
• W113304814 title "People Identification with RMS-Based Spatial Pattern of EEG Signal" @default.
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• W113304814 doi "https://doi.org/10.1007/978-3-642-33065-0_33" @default.
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