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![[Research] Control of a Finger Exoskeleton based on Joint Angle Estimation from EMG signals motor learning theory](https://i.ytimg.com/vi/i2bsQL08ock/hqdefault.jpg)
私の教え子であるJimson Ngeo君による，下記査読付き国際会議論文の技術を用いたデモンストレーションです．
A demo created by Mr. Jimson Ngeo, my student at NAIST, using the method described in the following paper.
Ngeo, Tamei, Shibata, Orlando, Behera, Saxena, Dutta.
Control of an Optimal Finger Exoskeleton based on Continuous Joint Angle Estimation from EMG signals.
The 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.338-341, 2013.
左手の表面筋電位信号から示指の３つの角度を実時間で推定し，右示指の外骨格を動かしています．この外骨格は共同研究者であるIIT KanpurのDutta先生らの技術を用い，この実験参加者に最適化設計されています．
The exoskeleton was designed based on an optimal method developed by my collaborators led by Prof. Dutta in IIT Kanpur.
[Research] Control of a Finger Exoskeleton based on Joint Angle Estimation from EMG signals motor learning theory | |
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| Science & Technology | Upload TimePublished on 26 Feb 2014 |
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