Presentation	2014-01-21 Learning of bimanual coordination with 6-layer neural networks Eiichi INOHIRA,
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Abstract(in English)	A system which can support two-handed tasks with a healthy arm and a myoelectric upper limb prosthesis for above-elbow amputees has been proposed. A trained neural network with prepared motions with bimanual coordination can generate desired motion of the prosthesis in accordance with the healthy arm's motion. We used a optimal design method based on the Design of Experiments (DOE) and 6-layer neural networks to obtain the neural network learned bimanual coordination with high accuracy. We targeted at a task to lift up a tray with both hands and demonstrated optimal design and training of 6-layer neural networks.
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Keyword(in English)	Neural network / Bimanual coordination / Design of experiments / Optimization
Paper #	NC2013-81
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Conference Information
Committee	NC
Conference Date	2014/1/13(1days)
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Paper Information
Registration To	Neurocomputing (NC)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Learning of bimanual coordination with 6-layer neural networks
Sub Title (in English)
Keyword(1)	Neural network
Keyword(2)	Bimanual coordination
Keyword(3)	Design of experiments
Keyword(4)	Optimization
1st Author's Name	Eiichi INOHIRA
1st Author's Affiliation	Kyushu Institute of Technology()
Date	2014-01-21
Paper #	NC2013-81
Volume (vol)	vol.113
Number (no)	382
Page	pp.pp.-
#Pages	4
Date of Issue