| Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2014: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2013: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Outline of Final Research Achievements |
Our objective of this study is the development of a man machine interface that is able to estimate many type of the hand motion using mulch channel Electromyogram measured from forearm of the amputee. At first, we developed the determination method of the suitable place of electrodes that will establish high recognition rate of the amputee’s hand motion. In this method, the suitable place is determined using the Monte Carlo method. Using this method, the recognition rate of 18 hand motions, including 10 finger movements were more than 96%.
Next, we investigated about the new method that was able to display the grasping power of an artificial hand to the amputee. If it possible, an amputee who uses our aimed system can feel much information about a his/her grasping object. So, we developed the system that could display the grasping power of an artificial hand as the variable pressure of the cuff that was set on the operator’s upper arm.
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