EEG-EOG based virtual keyboard: Toward hybrid brain computer interface

SM Hosni, HA Shedeed, MS Mabrouk, MF Tolba - Neuroinformatics, 2019 - Springer
The past twenty years have ignited a new spark in the research of Electroencephalogram
(EEG), which was pursued to develop innovative Brain Computer Interfaces (BCIs) in order …

EOG-based human–computer interface: 2000–2020 review

C Belkhiria, A Boudir, C Hurter, V Peysakhovich - Sensors, 2022 - mdpi.com
Electro-oculography (EOG)-based brain–computer interface (BCI) is a relevant technology
influencing physical medicine, daily life, gaming and even the aeronautics field. EOG-based …

Electrooculogram signal identification for elderly disabled using Elman network

M Thilagaraj, N Arunkumar, S Ramkumar… - Microprocessors and …, 2021 - Elsevier
This study proposes an algorithm for classifying the different eye movements gathered from
20 subjects through Electrooculogram (EOG) by means of neural networks. Reference …

EOG-based eye movement detection and gaze estimation for an asynchronous virtual keyboard

N Barbara, TA Camilleri, KP Camilleri - Biomedical Signal Processing and …, 2019 - Elsevier
This work aims to develop a novel electrooculography (EOG)-based virtual keyboard with a
standard QWERTY layout which, unlike similar state-of-the-art systems, allows users to …

Task identification system for elderly paralyzed patients using electrooculography and neural networks

S Ramkumar, G Emayavaramban… - … Conference on Big Data …, 2020 - Springer
Earlier day's people with disability face lot of difficulty in communication due to
neuromuscular attack. They are unable to share ideas and thoughts with others, so they …

Design and evaluation of a time adaptive multimodal virtual keyboard

YK Meena, H Cecotti, KF Wong-Lin… - Journal on Multimodal User …, 2019 - Springer
The usability of virtual keyboard based eye-typing systems is currently limited due to the lack
of adaptive and user-centered approaches leading to low text entry rate and the need for …

A comprehensive benchmark dataset for SSVEP-based hybrid BCI

S Sadeghi, A Maleki - Expert Systems with Applications, 2022 - Elsevier
The use of hybrid brain–computer interface (HBCI) systems have received much attention in
recent years. However, there are few published datasets for HBCI systems. This paper …

Development of eog based human machine interface control system for motorized wheelchair

J Jose - 2013 - ethesis.nitrkl.ac.in
Rehabilitation devices are increasingly being used to improve the quality of the life of
differentially abled people. Human Machine Interface (HMI) have been studied extensively …

Attention detection using electro-oculography signals in e-learning environment

Y Abdo, E Yahya, H Ismail, M Saleh… - 2021 Tenth …, 2021 - ieeexplore.ieee.org
Recently, on account of the Covid-19 pandemic online learning has become a main strategy
of learning in any educational environment. The main problem is the lack of focus or …

[PDF][PDF] Idendifying eye movements using neural networks for human computer interaction

HCRRSP MP - International Journal of Computer Applications, 2014 - Citeseer
Electrooculography based bio signals have been used and applied as a control signal in
several Human Computer Interactions. EOG is a technique of recording corneal-retinal …