| Project/Area Number |
23560286
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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 |
Intelligent mechanics/Mechanical systems
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| Research Institution | Shizuoka University |
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Principal Investigator |
ITO Tomotaka 静岡大学, 工学(系)研究科(研究院), 准教授 (00283341)
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| Co-Investigator(Renkei-kenkyūsha) |
OHGI Shohei 聖隷クリストファー大学, リハビリテーション学部, 教授 (90387506)
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| Project Period (FY) |
2011 – 2013
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
Fiscal Year 2013: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2012: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000)
Fiscal Year 2011: ¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
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| Keywords | ブレイン・マシン・インタフェース / ＮＩＲＳ / 脳情報 / ロボット / 学習 / 人間機械系 / 思考識別 / NIRS |
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| Research Abstract |
In recent years, robotics and medical sciences have focused on a new input interface, "the brain-machine interface." If a practical BMI system is realized, it could have pioneering applications in various new fields, e.g., human-robot interaction and supportive care for persons with special needs. Therefore, we aimed to design a practical BMI system using a portable Near-Infrared Spectroscopy (NIRS) device. In this research, we developed a LVQ-based cerebral state classifier for a portable NIRS device that enabled to classify cerebral blood flow patterns corresponding to several human mental imagery (e.g, mental commands given to a robot) and human emotions. Then, we discussed problems to utilize the NIRS-based BMI system in the daily environment and designed the improved LVQ-based classifier. In addition to that, we experimentally investigated the response of the cerebral blood flow against external visual stimuli.
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