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
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