Applying fuzzy decision for a single channel SSVEP-based BCI on automatic feeding robot
Sign Up to like & getrecommendations! Published in 2018 at "Microsystem Technologies"
DOI: 10.1007/s00542-016-3229-0
Abstract: An application of steady state evoked potential (SSVEP) based brain–computer interface (BCI) has been developed by implementing the fuzzy decision model for the automatic feeding robot. Four blinking boxes were displayed on the corner of… read more here.
Keywords: based bci; fuzzy decision; ssvep based; automatic feeding ... See more keywords
A Single-Channel SSVEP-Based BCI with a Fuzzy Feature Threshold Algorithm in a Maze Game
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Fuzzy Systems"
DOI: 10.1007/s40815-016-0289-3
Abstract: A mobile robot control in a maze game using steady-state visually evoked potential (SSVEP)-based brain–computer interface (BCI) is developed to help the severely disabled. In order to correctively induce the SSVEP of subjects, four visual… read more here.
Keywords: fuzzy feature; game; maze game; ssvep based ... See more keywords
Novel spatial filter for SSVEP-based BCI: A generated reference filter approach
Sign Up to like & getrecommendations! Published in 2018 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2018.02.019
Abstract: Steady state visual evoked potential (SSVEP)-based brain computer interface (BCI) systems can be realised using only one electrode; however, due to the inter-user and inter-trial differences, the handling of multiple electrode is preferred. This raises… read more here.
Keywords: ssvep based; novel spatial; method; reference ... See more keywords
Periodic component analysis as a spatial filter for SSVEP-based brain–computer interface
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Neuroscience Methods"
DOI: 10.1016/j.jneumeth.2018.06.003
Abstract: Abstract Background Traditional spatial filters used for steady-state visual evoked potential (SSVEP) extraction such as minimum energy combination (MEC) require the estimation of the background electroencephalogram (EEG) noise components. Even though this leads to improved… read more here.
Keywords: ssvep based; analysis; periodic component; ssvep ... See more keywords
Age-related differences in SSVEP-based BCI performance
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.08.121
Abstract: BrainComputer Interface (BCI) systems analyze brain signals to generate control commands for computer applications or external devices. Utilized as alternative communication channel, BCIs have the potential to assist people with severe motor disabilities to interact… read more here.
Keywords: based bci; bci performance; age related; ssvep based ... See more keywords
A high-performance SSVEP-based BCI using imperceptible flickers
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Neural Engineering"
DOI: 10.1088/1741-2552/acb50e
Abstract: Objective. Existing steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) struggle to balance user experience and system performance. This study proposed an individualized space and phase modulation method to code imperceptible flickers at 60 Hz… read more here.
Keywords: ssvep based; bci; modulation; geometry ... See more keywords
Maximum Signal Fraction Analysis for Enhancing Signal-to-Noise Ratio of EEG Signals in SSVEP-Based BCIs
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2925078
Abstract: Various improved canonical correlation analysis (CCA) methods were developed for enhancing the performance of steady-state visual evoked potential (SSVEP)-based brain–computer interfaces (BCIs). Among them, the method combining CCA spatial filters from sine-cosine references and individual… read more here.
Keywords: noise ratio; ssvep based; signal noise; maximum signal ... See more keywords
Transferring Subject-Specific Knowledge Across Stimulus Frequencies in SSVEP-Based BCIs
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2021.3054741
Abstract: Learning from subject’s calibration data can significantly improve the performance of a steady-state visually evoked potential (SSVEP)-based brain–computer interface (BCI), for example, the state-of-the-art target recognition methods utilize the learned subject-specific and stimulus-specific model parameters.… read more here.
Keywords: calibration; ssvep based; stimulus frequencies; model parameters ... See more keywords
Spatial Filtering in SSVEP-Based BCIs: Unified Framework and New Improvements
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Biomedical Engineering"
DOI: 10.1109/tbme.2020.2975552
Abstract: Objective: In the steady-state visual evoked potential (SSVEP)-based brain computer interfaces (BCIs), spatial filtering, which combines the multi-channel electroencephalography (EEG) signals in order to reduce the non-SSVEP-related component and thus enhance the signal-to-noise ratio (SNR),… read more here.
Keywords: spatial filtering; ssvep based; filtering; filtering algorithms ... See more keywords
Multi-Objective Optimization-Based High-Pass Spatial Filtering for SSVEP-Based Brain–Computer Interfaces
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3146950
Abstract: Many spatial filtering methods have been proposed to enhance the target identification performance for the steady-state visual evoked potential (SSVEP)-based brain–computer interface (BCI). The existing approaches tend to learn spatial filter parameters of a certain… read more here.
Keywords: ssvep based; multi objective; brain computer; based brain ... See more keywords
CCA-Based Compressive Sensing for SSVEP-Based Brain-Computer Interfaces to Command a Robotic Wheelchair
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3218102
Abstract: People with severe physical disabilities are not able of using standard robotic wheelchairs, which generally demand some motor skills, and therefore total usage of associate muscles. Robotic wheelchairs commanded by brain-computer interfaces (BCIs) based on… read more here.
Keywords: ssvep based; robotic wheelchairs; brain computer; computer interfaces ... See more keywords