| Budget Amount *help |
¥19,240,000 (Direct Cost: ¥14,800,000、Indirect Cost: ¥4,440,000)
Fiscal Year 2016: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2015: ¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2014: ¥7,150,000 (Direct Cost: ¥5,500,000、Indirect Cost: ¥1,650,000)
Fiscal Year 2013: ¥7,670,000 (Direct Cost: ¥5,900,000、Indirect Cost: ¥1,770,000)
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| Outline of Final Research Achievements |
Recent brain machine interface (BMI) technology achieved real-time robot arm control based on the brain wave “ECoG (Electro-Corti-Gram)”: (1) To measure ECoG with the electrodes on the human cortex; (2) to discriminate movements from ECoG with machine learning; (3) to operate a robot arm based on the discrimination results. Thus, BMI application is expected for medical use and it becomes an urgent and important issue to improve the discrimination rate. Therefore in this research, autonomous control algorithm is proposed for compensating such discrimination errors. Then, the performance of the proposed system is investigated with not only brain wave but also other major bio-signals for welfare device control.
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