Search
Search Results
-
Comparison of recognition methods for an asynchronous (un-cued) BCI system: an investigation with 40-class SSVEP dataset
Steady-state visual evoked potential (SSVEP)-based brain-computer Interface (BCI) has demonstrated the potential to manage multi-command targets to...
-
The classification of SSVEP-BCI based on ear-EEG via RandOm Convolutional KErnel Transform with Morlet wavelet
During the advantages of shorter training and higher information throughput, steady-state visual evoked potential (SSVEP) is widely used in...
-
KDLPCCA-Based Projection for Feature Extraction in SSVEP-Based Brain-Computer Interfaces
An electroencephalogram (EEG) signal projection using kernel discriminative locality preserving canonical correlation analysis (KDLPCCA)-based...
-
A Photostimuli Presenting Device for Customized SSVEP-based Brain-Computer Interfaces
Steady State Visually Evoked Potentials (SSVEP) is a promising paradigm in Brain-Computer Interfaces (BCIs) for creating alternative channels of...
-
A Review on Different Preprocessing and Feature Extraction Technique for SSVEP BCI Inference System
The steady-state visual evoked potential (SSVEP) is a periodic signal contaminated with recorded electroencephalography (EEG) signal. Accurate...
-
Forty-Class SSVEP-Based Brain-Computer Interface to Inter-subject Using Complex Spectrum Features
The Steady-State Visually Evoked Potential (SSVEP) is one of the most popular paradigms for Brain-Computer Interface (BCI) applications. In this...
-
Real-Time SSVEP Measurements Through Lock-In Detection in FPGA-Based Platform
In this work, a method for measuring steady-state visually evoked potentials using the Lock-In technique is presented. The proposed method involves...
-
Course-Grained Multi-scale EMD Based Fuzzy Entropy for Multi-target Classification During Simultaneous SSVEP-RSVP Hybrid BCI Paradigm
Hybridization in brain-computer interface (BCI) is an active research assessed by integrating more than two modalities to control multiple user...
-
A hybrid environment control system combining EMG and SSVEP signal based on brain-computer interface technology
The patients who are impaired with neurodegenerative disorders cannot command their muscles through the neural pathways. These patients are given an...
-
A Faster Single-Channel SSVEP-Based Speller Using Peak Filter Extended Canonical Correlation Analysis
Steady-state visual evoked potential (SSVEP) based brain-computer interface (BCI) can provide an effective speller for disabled people. With the...
-
A MI-SSVEP Hybrid Brain Computer Interface System for Online Control of a Mobile Vehicle
Brain-Computer Interface (BCI) is a device that translates intentionally modulated brain signals into control commands. Based on motor imagery (MI)...
-
Review and Evaluation of Trending SSVEP-Based BCI Extraction and Classification Methods
The rapid development of technology that has involved neurosciences and human–computer interaction has provided solutions to several problems....
-
SSVEP Based BCI Control of a Robot Swarm
Robots used in the civilian or military field were inspired from the beginning by the natural biomimetic behavior of insects or vertebrates. Lately...
-
Analysis About SSVEP Response to 5.5–86.0 Hz Flicker Stimulation
This paper introduces an analysis about the Steady State Visual Evoked Potential (SSVEP) present in electroencefalogram (EEG) signals. This analysis...
-
A Novel Approach Based on EMD to improve the Performance of SSVEP Based BCI System
This paper investigate the effectiveness of the Empirical Mode Decomposition (EMD) based Power Spectrum analysis (PSA) technique to evaluate the...
-
Application of Autoencoders for Feature Extraction in BCI-SSVEP
A brain-computer interface (BCI) based on the steady-state visually evoked potentials (SSVEP) paradigm deals with the challenge of determining the...
-
Detection of Target Frequency from SSVEP Signal Using Empirical Mode Decomposition for SSVEP Based BCI Inference System
This paper describes the effectiveness of feature obtained by power spectrum analysis (PSA) as well as the combined method of empirical mode...
-
Analysis of EEG Signal Classification for Application in SSVEP-Based BCI Using Convolutional Neural Network
A Brain-Computer Interface (BCI) is a combination of hardware and software system that establishes a direct communication and real-time interaction...
-
On Improvement of Target Recognition eCCA Method Based on SSVEP
In recent years, the brain-computer interface (BCI) has made great progress, especially in steady-state visual evoked potentials (SSVEP) because of...
-
Convolutional denoising autoencoder based SSVEP signal enhancement to SSVEP-based BCIs
For steady state visually evoked potential (SSVEP) based brain computer interfaces (BCIs), the elicited SSVEP signals always contain noises and then...
