Brain–computer interface speller based on steady-state visual evoked potential: A review focusing on the stimulus paradigm and performance

M Li, D He, C Li, S Qi - Brain sciences, 2021 - mdpi.com
The steady-state visual evoked potential (SSVEP), measured by the electroencephalograph
(EEG), has high rates of information transfer and signal-to-noise ratio, and has been used to …

A high performance spelling system based on EEG-EOG signals with visual feedback

MH Lee, J Williamson, DO Won… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In this paper, we propose a highly accurate and fast spelling system that employs multi-
modal electroencephalography-electrooculography (EEG-EOG) signals and visual feedback …

Hybrid Brain–Computer Interface Spellers: A Walkthrough Recent Advances in Signal Processing Methods and Challenges

N Chugh, S Aggarwal - International Journal of Human–Computer …, 2023 - Taylor & Francis
Hybrid brain computer interfaces (hBCIs) have emerged as a possible path to integrated
brain-computer interaction in current history. hBCI, is a device formed by the amalgamation …

[HTML][HTML] Cerebral palsy-affected individuals' brain-computer interface for wheelchair movement in an indoor environment using mental tasks

J Ramakrishnan - Egyptian Informatics Journal, 2024 - Elsevier
The technique of measuring brain signals or activities by placing electrodes on the scalp of
human beings is called Electroencephalogram (EEG). Brain-computer interface (BCI) is a …

Classification of Electroencephalogram Signal for Developing Brain‐Computer Interface Using Bioinspired Machine Learning Approach

M Thilagaraj, S Ramkumar… - Computational …, 2022 - Wiley Online Library
Transforming human intentions into patterns to direct the devices connected externally
without any body movements is called Brain‐Computer Interface (BCI). It is specially …

Designing a Sequential Hybrid BCI Speller on Fusion of Motor Imagery and Steady-State Visually Evoked Potentials EEG Data

T Nama, D Samanta - Proceedings of the Fourteenth Indian Conference …, 2023 - dl.acm.org
Brain-computer interfaces (BCIs) enable direct communication between the human brain
and external devices, interpreting signals like Electroencephalogram (EEG) to translate user …

A Brain-Computer Interface Controlled Assistive Device for Persons with Motor Neuron Disease

R Choudhury, R Matam, K Nag - 2024 20th International …, 2024 - ieeexplore.ieee.org
This paper introduces a low-cost assistive device to improve the quality of life of individuals
with Motor Neuron Disease (MND) using a Brain-Computer Interface (BCI). The proposed …

Development of a human computer interaction system based on multi-modal gaze tracking methods

S Han, R Liu, C Zhu, YG Soo, H Yu… - … on Robotics and …, 2016 - ieeexplore.ieee.org
In this paper, we design a human computer interaction (HCI) system for the locked-in
syndrome (LIS) patients which combines the eye movement signals and …

[PDF][PDF] Navegação de robôs móveis assistivos por controle compartilhado baseado em campos vetoriais

LR Olivi - 2014 - repositorio.unicamp.br
A mobilidade é uma competência humana extremamente valiosa, e pode ser perdida por
diversas razoes, tais como traumas na coluna vertebral, acidentes vasculares cerebrais …