2011 Fiscal Year Final Research Report
Data-Driven Multichannel Signal Processing for Brain Computer Interfacing
| Project/Area Number |
21360179
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (B)
|
| Allocation Type | Single-year Grants |
|---|
| Section | 一般 |
|---|
| Research Field |
Communication/Network engineering
|
|---|
| Research Institution | Tokyo University of Agriculture and Technology |
|---|
Principal Investigator |
TANAKA Toshihisa 東京農工大学, 大学院・工学研究院, 准教授 (70360584)
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
CAO Jianting 埼玉工業大学, 工学部, 教授 (20306989)
|
|---|
| Co-Investigator(Renkei-kenkyūsha) |
RUTKOWSKI Tomasz 筑波大学, システム情報系, 講師 (50415238)
|
|---|
| Project Period (FY) |
2009 – 2011
|
| Keywords | 信号処理 / 脳波計測 / インタフェース |
|---|
| Research Abstract |
Brain-computer interfacing is a technology that transmit information in the brain to the outside, has a variety of engineering and medial applications. To realize this technology, we have to establish fundamentals of signal processing for extracting necessary components from the observed electroencephalogram(EEG) and/or for removing unnecessary components. In this KAKENHI project, we paid attention into the empirical mode decomposition(EMD), which is a recently well-known data-driven signal decomposition technique, and we aimed at establishing methodologies that apply this promising technique to signal processing for BCI. As a result of this project, we have succeeded in an accurate separation of electrocardiogram(EOG) components from the observed EEG. Moreover, we have successfully developed a method for extracting necessary components from EEG signals during motor-imagery tasks. Additionally, we have developed and implemented on-line BCI platforms that utilize an Android smartphone and simple robots.
|
