A Pattern Recognition Neural Network Approach for an SSVEP-Based Brain-Computer Interface-Reference-Cited by-同舟云学术

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A Pattern Recognition Neural Network Approach for an SSVEP-Based Brain-Computer Interface

Published:2023-08-25 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 17th International Conference on Industrial and Information Systems (ICIIS)
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Author:

Jayarathne Sachintha K.¹,Rajapakshe Oshadhi P.¹,Siriwardhana Shashini M.¹,Kim Kwangtaek²,Dassanayake Tharaka L.³,Harischandra Nalin¹,Wijayakulasooriya Janaka¹,Ranaweera Ruwan¹

Affiliation:

1. University of Peradeniya,Faculty of Engineering,Department of Electrical and Electronic Engineering,Peradeniya,Sri Lanka,20400

2. Kent State University,Department of Computer Science,Kent,OH,USA,44242

3. University of Peradeniya,Faculty of Medicine,Department of Physiology,Peradeniya,Sri Lanka,20400

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10253467/10253461/10253527.pdf?arnumber=10253527

Reference14 articles.

1. The Distribution of Classification Accuracy Over the Whole Head for a Steady State Visual Evoked Potential Based Brain-computer Interface

2. Study on Robot Grasping System of SSVEP-BCI Based on Augmented Reality Stimulus

3. A new method of spatial filters design for brain-computer interface based on steady state visually evoked potentials

4. The SSVEP tracks attention, not consciousness, during perceptual filling-in

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