2013 Fiscal Year Final Research Report
Innovation of multi-channel EEG signal processing technology for BMI development by fusion of information science and brain science
| Project/Area Number |
23500202
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Perception information processing/Intelligent robotics
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| Research Institution | University of Tsukuba |
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Principal Investigator |
MAKINO Shoji 筑波大学, システム情報系, 教授 (60396190)
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| Co-Investigator(Kenkyū-buntansha) |
RUTKOWSKI Tomasz 筑波大学, システム情報系, 講師 (50415238)
MIYABE Shigeki 筑波大学, システム情報系, 助教 (50598745)
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| Co-Investigator(Renkei-kenkyūsha) |
TERASAWA Hiroko 筑波大学, 図書館情報メディア系, 助教 (70579094)
YAMADA Takeshi 筑波大学, システム情報系, 准教授 (20312829)
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| Project Period (FY) |
2011 – 2013
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| Keywords | 情報センシング / マルチチャネル信号処理 |
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| Research Abstract |
We advanced BMI development in two following frameworks. (1) We proposed a method to select the optimal latency and electrode based on the F-value based on the statistical characteristics of an event-related potential for spatial auditory stimuli. The proposed method demonstrated an 8% improvement of correct classification rate. (2) We verified a combination of real and virtual sound sources by speakers to evoke P300 responses. A large individual difference in P300 appearance was confirmed. To develop an alternate auditory BMI using virtual sound source, we tried a headphone-based auditory BMI using a head impulse response in an open database. A clear P300 was observed in occipital area. With view to develop multimodal BMI, the P300s by the spatial auditory stimuli, visual stimuli and the combination of these modalities were compared. It revealed that the amplitude of P300 for spatial auditory stimuli was less than the other.
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