Brain-controlled wheelchair review: From wet electrode to dry electrode, from single modal to hybrid modal, from synchronous to asynchronous

H Wang, F Yan, T Xu, H Yin, P Chen, H Yue… - IEEE …, 2021 - ieeexplore.ieee.org
Brain-computer interface (BCI) is a novel human-computer interaction model, which does
not depend on the conventional output pathway (peripheral nerve and muscle tissue). In the …

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 …

A brain controlled command-line interface to enhance the accessibility of severe motor disabled people to personnel computer

S Gannouni, K Belwafi, MR Al-Sulmi, MD Al-Farhood… - Brain Sciences, 2022 - mdpi.com
There are many applications controlled by the brain signals to bridge the gap in the digital
divide between the disabled and the non-disabled people. The deployment of novel …

Real and imaginary motion classification based on rough set analysis of EEG signals for multimedia applications

P Szczuko - Multimedia Tools and Applications, 2017 - Springer
Rough set-based approach to the classification of EEG signals of real and imaginary motion
is presented. The pre-processing and signal parametrization procedures are described, the …

Professional and personal service robots

T Zielinska - International Journal of Robotics Applications and …, 2016 - igi-global.com
The short history of service robots with its precursors is presented. The definitions of service
robot are discussed with some statistical data. The history of service robots summarizes the …

SSVEP-based BCI in virtual reality-control of a vacuum cleaner robot

P Stawicki, F Gembler, CY Chan… - … on systems, man …, 2018 - ieeexplore.ieee.org
Brain-Computer Interfaces (BCIs) allow communication and control of the environment
without the use of peripheral muscles. One of the standard BCI paradigms is based on …

Comparison of classification methods for EEG signals of real and imaginary motion

P Szczuko, M Lech, A Czyżewski - Advances in feature selection for data …, 2018 - Springer
The classification of EEG signals provides an important element of brain-computer interface
(BCI) applications, underlying an efficient interaction between a human and a computer …

Brainware: Synergizing software systems and neural inputs

S Huang, E Tognoli - Companion Proceedings of the 36th International …, 2014 - dl.acm.org
The rapid advances in the field of Brain Computer Interfaces (BCI) are expected to enrich the
quality of people's lives. BCI connects computer actions with neural inputs—signals …

Characterization and classification of EEG signals evoked by different CAD models

H Niu, J Hao, Z Ming, X Yang… - Human Factors and …, 2024 - Wiley Online Library
The past two decades have witnessed dramatic advancement in computer‐aided design
(CAD). However, development of human–computer interfaces (HCI) for CAD have not kept …

Performance prediction at single-action level to a first-person shooter video game

MA Lopez-Gordo, N Kohlmorgen, C Morillas, F Pelayo - Virtual Reality, 2021 - Springer
Serious games, professional entertainment (eg e-sport), or the immersive simulation of
critical scenarios by means of virtual reality belong to the scope of the video game industry …