Toward EEG-based BCI applications for industry 4.0: Challenges and possible applications
K Douibi, S Le Bars, A Lemontey, L Nag… - Frontiers in Human …, 2021 - frontiersin.org
In the last few decades, Brain-Computer Interface (BCI) research has focused predominantly
on clinical applications, notably to enable severely disabled people to interact with the …
on clinical applications, notably to enable severely disabled people to interact with the …
Review of brain encoding and decoding mechanisms for EEG-based brain–computer interface
A brain–computer interface (BCI) can connect humans and machines directly and has
achieved successful applications in the past few decades. Many new BCI paradigms and …
achieved successful applications in the past few decades. Many new BCI paradigms and …
A novel training-free recognition method for SSVEP-based BCIs using dynamic window strategy
Objective. Filter bank canonical correlation analysis (FBCCA) is a widely-used classification
approach implemented in steady-state visual evoked potential (SSVEP)–based brain …
approach implemented in steady-state visual evoked potential (SSVEP)–based brain …
[HTML][HTML] A study on performance increasing in SSVEP based BCI application
People which are afflicted with neurological conditions or neurodegenerative diseases can't
control own muscles by neural pathways. Brain computer interface (BCI) systems offer these …
control own muscles by neural pathways. Brain computer interface (BCI) systems offer these …
A novel hybrid paradigm based on steady state visually evoked potential & P300 to enhance information transfer rate
A Katyal, R Singla - Biomedical Signal Processing and Control, 2020 - Elsevier
Abstract Background Steady-State Visually Evoked Potential (SSVEP) has been one of the
most common paradigms for Brain-Computer Interface (BCI) based applications with …
most common paradigms for Brain-Computer Interface (BCI) based applications with …
EEG-based hybrid QWERTY mental speller with high information transfer rate
EA Katyal, R Singla - Medical & Biological Engineering & Computing, 2021 - Springer
Background Brain-computer interface (BCI) spellers detect variations in brain waves to help
subjects communicate with the world. This study introduces a P300-SSVEP hybrid BCI …
subjects communicate with the world. This study introduces a P300-SSVEP hybrid BCI …
Fuzzy tracking and control algorithm for an SSVEP-based BCI system
YJ Chen, SC Chen, IAE Zaeni, CM Wu - Applied Sciences, 2016 - mdpi.com
Subjects with amyotrophic lateral sclerosis (ALS) consistently experience decreasing quality
of life because of this distinctive disease. Thus, a practical brain-computer interface (BCI) …
of life because of this distinctive disease. Thus, a practical brain-computer interface (BCI) …
Analysis of User Interaction with a Brain‐Computer Interface Based on Steady‐State Visually Evoked Potentials: Case Study of a Game
This paper presents a systematic analysis of a game controlled by a Brain‐Computer
Interface (BCI) based on Steady‐State Visually Evoked Potentials (SSVEP). The objective is …
Interface (BCI) based on Steady‐State Visually Evoked Potentials (SSVEP). The objective is …
Adding Human Learning in Brain--Computer Interfaces (BCIs) Towards a Practical Control Modality
In this article, we introduce CLBCI (Co-Learning for Brain--Computer Interfaces), a BCI
architecture based on co-learning in which users can give explicit feedback to the system …
architecture based on co-learning in which users can give explicit feedback to the system …
Application of hybrid Brain-Computer Interface with augmented reality on quadcopter control
J Choi, S Jo - 2020 8th International Winter Conference on …, 2020 - ieeexplore.ieee.org
Brain-computer interfaces (BCI) have been shown as a powerful way to provide
communication without motor actions. However, they are currently limited by their …
communication without motor actions. However, they are currently limited by their …