Presentation 2005-09-16
On the Human interface with Fractal Dimension Analysis of EEG
Takuya IIZUKA, Masahiro NAKAGAWA,
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Abstract(in English) Recently, discussions on Human interface with EEG have been extensively reported. In this report, the purpose is directed towards recognition of EEG signals under looking and imaging of six subjects. Features of EEG signals are extracted in terms of the fractal dimension analyses. Recognition of EEG signals is accomplished by learning and recognition process with the aid of fractal dimensions. We have examined Human interface by recognizing EEG signals when imaging for the intended object. As results, recognizing the intended object is confirmed from the ratio of the output corresponding to the imaging object. In addition, the recognition rate was about 59% though it was the lowest for an object. This approach is considered to have an ability to recognize the intended object by analyzing EEG signals in terms of fractal dimension when imaging an object of six objects displayed. In addition it was suggested that there exists a possibility for an application as Human interface which possesses a function like an EEG keyboard.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Human interface / EEG / Fractal dimension analysis / Emotional Fractal-dimension Analysis Method
Paper # CAS2005-41,NLP2005-54
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Conference Information
Committee NLP
Conference Date 2005/9/9(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) On the Human interface with Fractal Dimension Analysis of EEG
Sub Title (in English)
Keyword(1) Human interface
Keyword(2) EEG
Keyword(3) Fractal dimension analysis
Keyword(4) Emotional Fractal-dimension Analysis Method
1st Author's Name Takuya IIZUKA
1st Author's Affiliation Faculty of Engineering, Nagaoka University of Technology()
2nd Author's Name Masahiro NAKAGAWA
2nd Author's Affiliation Faculty of Engineering, Nagaoka University of Technology
Date 2005-09-16
Paper # CAS2005-41,NLP2005-54
Volume (vol) vol.105
Number (no) 277
Page pp.pp.-
#Pages 6
Date of Issue