A Convolutional Neural Network for the Detection of Asynchronous Steady State Motion Visual Evoked Potential
Volume: 27, Issue: 6, Pages: 1303 - 1311
Published: Jun 1, 2019
Abstract
A key issue in brain-computer interface (BCI) is the detection of intentional control (IC) states and non-intentional control (NC) states in an asynchronous manner. Furthermore, for steady-state visual evoked potential (SSVEP) BCI systems, multiple states (sub-states) exist within the IC state. Existing recognition methods rely on a threshold technique, which is difficult to realize high accuracy, i.e., simultaneously high true positive rate and...
Paper Details
Title
A Convolutional Neural Network for the Detection of Asynchronous Steady State Motion Visual Evoked Potential
Published Date
Jun 1, 2019
Volume
27
Issue
6
Pages
1303 - 1311
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History