Project/Area Number |
26730146
|
Research Category |
Grant-in-Aid for Young Scientists (B)
|
Allocation Type | Multi-year Fund |
Research Field |
Kansei informatics
|
Research Institution | Advanced Telecommunications Research Institute International |
Principal Investigator |
Ogawa Takeshi 株式会社国際電気通信基礎技術研究所, 脳情報通信総合研究所, 主任研究員 (10614323)
|
Research Collaborator |
KANEMURA Atsunori 国立研究開発法人産業技術総合研究所, 人間情報研究部門, 研究員
KAWANABE Motoaki 株式会社国際電気通信基礎技術研究所, 脳情報通信総合研究所, 主幹研究員
MORIYA Hiroki 株式会社国際電気通信基礎技術研究所, 脳情報通信総合研究所, 研究員
CELIKKANAT Hande ヘルシンキ大学, 理学部, 博士研究員
|
Project Period (FY) |
2014-04-01 – 2017-03-31
|
Project Status |
Completed (Fiscal Year 2016)
|
Budget Amount *help |
¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2016: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000)
Fiscal Year 2015: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2014: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
|
Keywords | ブレイン・マシン・インタフェース / 携帯型脳活動計測 / 実環境 / 脳波 / 近赤外分光計測 / 機械学習 / 信号処理 / BMI / NIRS / データベース / 生活支援 / 脳計測 / コミュニケーション / 複数人 |
Outline of Final Research Achievements |
This study is to develop a brain machine interface (BMI) to support communication from oscillatory brain activity and conversation between residents in daily-life environment. In order to achieve this purpose, I need to record brain activity by using wearable brain measurement device and human behavior including daily actions and conversation. Based on these information, I developed real-environment BMI which serve proper situation for user's request. In addition, I developed methodology to extract spatial-temporal patterns from brain activity which contains low information due to small amount of sensors.
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