2017 Fiscal Year Annual Research Report
Sixth finger project: Natural learning of an additional limb by the human brain
| Project/Area Number |
15K12623
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| Research Institution | National Institute of Advanced Industrial Science and Technology |
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Principal Investigator |
GOWRISHANK AR.G 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 国際客員研究員 (10570244)
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| Co-Investigator(Kenkyū-buntansha) |
宮脇 陽一 電気通信大学, 大学院情報理工学研究科, 教授 (80373372)
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Keywords | natural learning / embodiment / brain machine interface / machine learning |
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| Outline of Annual Research Achievements |
The project went smoothly this year and we achieved the following objectives and extensions.
1)We developed the EMG based sixth finger and feedback system. We developed a EMG based control for the finger and performed the experiments to test the ‘embodiment’ of the finger by humans. The first experiments were published in the Winter workshop on the mechanism of Brain and Mind.
2)We worked on the difficult issue of isolating and testing the free neural activity (FNA) in the brain. We were able to develop a stable method for the FNA isolation and tested the method in regard to brain plasticity during neurofeedback. We were able to make the first preliminary data collection with subjects and will continue this process in the next months.
3)In this year we were also able to extend the results of our embodiment studies with humans in the last two years to address an important issue in robotics- that of enabling tool use by robots. Tool use by humans is considered to be possible to their ability to embody tools. Our results last year gave new details about the embodiment abilities of humans. This enabled us to develop an algorithm that enables robots to recognize previously unseen objects as tools and use them immediately for tasks without requiring any learning. This result is published in the largest Robotics conference (ICRA) this year.
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