Convolutional Neural Network Approach for Steady-State Somatosensory Evoked Potential-Based Robotic Exoskeleton Control
Author:
Affiliation:
1. Bionics Research Center, Korea Institute of Science and Technology,Seoul,Korea Rep.
Funder
National Research Foundation of Korea (NRF)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10202211/10202162/10202401.pdf?arnumber=10202401
Reference23 articles.
1. Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks
2. A convolutional neural network for steady state visual evoked potential classification under ambulatory environment
3. Subject-Transfer Approach based on Convolutional Neural Network for the SSSEP-BCIs
4. High-Frequency Vibrating Stimuli Using the Low-Cost Coin-Type Motors for SSSEP-Based BCI
5. Deep learning with convolutional neural networks for EEG decoding and visualization
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