A survey on unmanned aerial vehicle remote control using brain–computer interface

A Nourmohammadi, M Jafari… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Numerous methods have been developed to gain reliable real-time remote control over
pilotless flying aircraft and to perform teleoperation. Recently, state-of-the-art brain-computer …

Explainable artificial intelligence approaches for brain-computer interfaces: a review and design space

P Rajpura, H Cecotti, YK Meena - Journal of Neural Engineering, 2024 - iopscience.iop.org
Objective. This review paper provides an integrated perspective of Explainable Artificial
Intelligence (XAI) techniques applied to Brain-Computer Interfaces (BCIs). BCIs use …

A multimodal gaze-controlled virtual keyboard

H Cecotti - IEEE Transactions on Human-Machine Systems, 2016 - ieeexplore.ieee.org
New portable and noninvasive eye-trackers allow the creation of robust virtual keyboards
that aim to improve the life of disabled people who are unable to communicate. This paper …

Toward optimization of gaze-controlled human–computer interaction: Application to hindi virtual keyboard for stroke patients

YK Meena, H Cecotti, K Wong-Lin… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Virtual keyboard applications and alternative communication devices provide new means of
communication to assist disabled people. To date, virtual keyboard optimization schemes …

A multimodal interface to resolve the Midas-Touch problem in gaze controlled wheelchair

YK Meena, H Cecotti, KF Wong-Lin… - 2017 39th Annual …, 2017 - ieeexplore.ieee.org
Human-computer interaction (HCI) research has been playing an essential role in the field of
rehabilitation. The usability of the gaze controlled powered wheelchair is limited due to …

Motion imagery-BCI based on EEG and eye movement data fusion

S Cheng, J Wang, L Zhang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Existing studies have demonstrated that eye tracking can be a complementary approach to
Electroencephalogram (EEG) based brain-computer interaction (BCI), especially in …

Neurogaming with motion-onset visual evoked potentials (mVEPs): adults versus teenagers

R Beveridge, S Wilson, M Callaghan… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Motion-onset visually evoked potentials (mVEPs) are neural potentials that are time-locked
to the onset of motion of evoking stimuli. Due to their visually elegant properties, mVEP …

Single-trial effective brain connectivity patterns enhance discriminability of mental imagery tasks

D Rathee, H Cecotti, G Prasad - Journal of neural engineering, 2017 - iopscience.iop.org
Objective. The majority of the current approaches of connectivity based brain–computer
interface (BCI) systems focus on distinguishing between different motor imagery (MI) tasks …

Nonlinear analysis of eye-tracking information for motor imagery assessments

A Lanata, L Sebastiani, F Di Gruttola… - Frontiers in …, 2020 - frontiersin.org
This study investigates the assessment of motor imagery (MI) ability in humans. Commonly,
MI ability is measured through two methodologies: a self-administered questionnaire (MIQ …

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 …