Decoding Multi-class Motor-related Intentions with User-optimized and Robust BCI System Based on Multimodal Dataset
Author:
Affiliation:
1. Korea University,Dept. Brain and Cognitive Engineering,Seoul,Republic of Korea
Funder
Interface
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10078410/10078447/10078687.pdf?arnumber=10078687
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5. Prosthesis with neuromorphic multilayered e-dermis perceives touch and pain;luke osborn;Sci Robot,2018
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