Co-adaptive BMI by reinforcement learning based on prediction of users' latent mental states
| Project/Area Number |
24300093
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Partial Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Sensitivity informatics/Soft computing
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| Research Institution | Advanced Telecommunications Research Institute International |
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Principal Investigator |
KAWANABE Motoaki 株式会社国際電気通信基礎技術研究所, 認知機構研究所, 主任研究員 (30272389)
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| Co-Investigator(Kenkyū-buntansha) |
KANEMURA Atsunori 独立行政法人産業技術総合研究所, ヒューマンライフテクノロジー研究部門, 研究員 (50580297)
UENO Tsuyoshi 大阪大学, 産業科学研究所, 招聘研究員 (90615824)
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| Co-Investigator(Renkei-kenkyūsha) |
WASHIO Takashi 大阪大学, 産業科学研究所, 教授 (00192815)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥17,940,000 (Direct Cost: ¥13,800,000、Indirect Cost: ¥4,140,000)
Fiscal Year 2014: ¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
Fiscal Year 2013: ¥6,240,000 (Direct Cost: ¥4,800,000、Indirect Cost: ¥1,440,000)
Fiscal Year 2012: ¥6,370,000 (Direct Cost: ¥4,900,000、Indirect Cost: ¥1,470,000)
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| Keywords | ブレイン・マシン・インタフェース / 強化学習 |
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| Outline of Final Research Achievements |
Toward a real-time co-adaptive BMI algorithm for providing flexible feedback schemes based on users' latent mental states, we developed reinforcement learning procedures to construct BMI decoders and representations for brain activities to infer the mental states. For the former topic, based on the weighted likelihood, we establish a theoretical framework to determine the optimal state modeling, namely the dimension of the mental states and their transition rule, to design an appropriate policy model, and to execute reinforcement learning simultaneously. For the latter topic, we proposed various generalizations of the standard feature extraction method CSP (common spatial pattern) to construct robust features against subject-to-subject variability and non-stationarity in brain signals. By integrating these element technologies, we implemented a BMI feedback device with portable EEG and a ball lamp, and tested its usefulness with a few subjects in a real-world environment.
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Report
(4 results)
Research Products
(40 results)
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[Journal Article] Learning a common dictionary for subject-transfer decoding with resting calibration2015
Author(s)
Morioka, H., Kanemura, A., Hirayama, J., Shikauchi, M., Ogawa, T., Ikeda, S., Kawanabe, M., and Ishii, S.
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Journal Title
NeuroImage
Volume: 111
Pages: 167-178
DOI
Related Report
Peer Reviewed / Acknowledgement Compliant
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[Journal Article] Decoding spatial attention by using cortical currents estimated from electroencephalography with near-infrared spectroscopy prior information2014
Author(s)
Morioka, H., Kanemura, A., Morimoto, S., Yoshioka, T., Oba, S., Kawanabe, M., and Ishii, S.
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Journal Title
NeuroImage
Volume: 90
Pages: 128-139
DOI
Related Report
Peer Reviewed / Acknowledgement Compliant
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[Presentation] Subject-independent decoding from EEG through sparse learning of spatial bases common across sessions and subjects2014
Author(s)
Morioka, H., Kanemura, A., Hirayama, J., Ogawa, T., Ikeda, S., Kawanabe, M. and Ishii, S.
Organizer
Advance in Neuroinformatics (AINI2014)
Place of Presentation
理化学研究所（埼玉県）
Year and Date
2014-09-25 – 2014-09-26
Related Report
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[Presentation] Subject-independent BMI through sparse learning of spatial bases common across sessions and subjects2014
Author(s)
Morioka, H., Kanemura, A., Hirayama, J., Shikauchi, M., Ogawa, T., Ikeda, S., Kawanabe, M. and Ishii, S.
Organizer
第37回日本神経科学大会（Neurosience2014)
Place of Presentation
パシフィコ横浜（神奈川県）
Year and Date
2014-09-11 – 2014-09-13
Related Report
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[Presentation] e射影に基づく方策探索法2014
Author(s)
植野剛
Organizer
人工知能学会全国大会（JSAI2014）
Place of Presentation
ひめぎんホール（愛媛県）
Year and Date
2014-05-12 – 2015-05-15
Related Report
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[Presentation] A waypoint-based framework in brain-controlled smart home environments: brain interfaces, domotics, and robotics integration2013
Author(s)
Kanemura, A., Morales, Y., Kawanabe, M., Morioka, H., Kallakuri, N., Ikeda, T., Miyashita, T., Hagita, N., and Ishii, S.
Organizer
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2013)
Place of Presentation
東京ビッグサイト（東京都）
Related Report
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[Presentation] A Waypoint-based Framework and Data-driven Decoder for Brain-Machine Interface in Smart Home Environments2013
Author(s)
Kawanabe, M., Kanemura, A., Morales, Y., Morioka, H., Kallakuri, N., Ikeda, T., Miyashita, T., Hagita, N., and Ishii, S.
Organizer
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2013), Workshop on Neuroscience and Robotics: Towards a robot-enabled, neuroscience-guided healthy society
Place of Presentation
東京ビッグサイト（東京都）
Related Report
Invited
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[Presentation] Decoding of spatial attention from cortical currents estimated from EEG with NIRS prior2013
Author(s)
Morioka, H., Kanemura, A., Morimoto, S., Yoshioka, T., Kawanabe, M., and Ishii, S.
Organizer
第36回日本神経科学大会、第56回日本神経化学会大会、第23回日本神経回路学会大会（Neuro2013）
Place of Presentation
国立京都国際会館（京都府）
Related Report
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[Presentation] An auditory ERP-based BMI for a universal controller in a real environment2013
Author(s)
Ishido, N., Morimoto, S., Kanemura, A., Maruyama, M., Kawanabe, M., Ishii, S., Saruwatari, H., and Shikano, K.
Organizer
第36回日本神経科学大会、第56回日本神経化学会大会、第23回日本神経回路学会大会（Neuro2013）
Place of Presentation
国立京都国際会館（京都府）
Related Report
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