Brain-computer interface: Advancement and challenges

MF Mridha, SC Das, MM Kabir, AA Lima, MR Islam… - Sensors, 2021 - mdpi.com
Brain-Computer Interface (BCI) is an advanced and multidisciplinary active research domain
based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the …

Errare machinale est: the use of error-related potentials in brain-machine interfaces

R Chavarriaga, A Sobolewski, JR Millán - Frontiers in neuroscience, 2014 - frontiersin.org
The ability to recognize errors is crucial for efficient behavior. Numerous studies have
identified electrophysiological correlates of error recognition in the human brain (error …

[图书][B] Complex-valued neural networks

A Hirose - 2006 - Wiley Online Library
Complex-valued neural networks Complex-Valued Neural Networks Page 2 IEEE Press 445
Hoes Lane Piscataway, NJ 08854 IEEE Press Editorial Board 2013 John Anderson, Editor in …

A review of the role of machine learning techniques towards brain–computer interface applications

S Rasheed - Machine Learning and Knowledge Extraction, 2021 - mdpi.com
This review article provides a deep insight into the Brain–Computer Interface (BCI) and the
application of Machine Learning (ML) technology in BCIs. It investigates the various types of …

A novel EOG/EEG hybrid human–machine interface adopting eye movements and ERPs: Application to robot control

J Ma, Y Zhang, A Cichocki… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
This study presents a novel human-machine interface (HMI) based on both
electrooculography (EOG) and electroencephalography (EEG). This hybrid interface works …

[HTML][HTML] Age-related differences in SSVEP-based BCI performance

I Volosyak, F Gembler, P Stawicki - Neurocomputing, 2017 - Elsevier
Abstract Brain–Computer Interface (BCI) systems analyze brain signals to generate control
commands for computer applications or external devices. Utilized as alternative …

Noninvasive brain–computer interfaces for augmentative and alternative communication

M Akcakaya, B Peters… - IEEE reviews in …, 2013 - ieeexplore.ieee.org
Brain-computer interfaces (BCIs) promise to provide a novel access channel for assistive
technologies, including augmentative and alternative communication (AAC) systems, to …

Motor imagery and error related potential induced position control of a robotic arm

S Bhattacharyya, A Konar… - IEEE/CAA Journal of …, 2017 - ieeexplore.ieee.org
The paper introduces an electroencephalography U+ 0028 EEG U+ 0029 driven online
position control scheme for a robot arm by utilizing motor imagery to activate and error …

Double ErrP detection for automatic error correction in an ERP-based BCI speller

A Cruz, G Pires, UJ Nunes - IEEE transactions on neural …, 2017 - ieeexplore.ieee.org
Brain-computer interface (BCI) is a useful device for people with severe motor disabilities.
However, due to its low speed and low reliability, BCI still has a very limited application in …

A review of error-related potential-based brain–computer interfaces for motor impaired people

A Kumar, L Gao, E Pirogova, Q Fang - IEEE Access, 2019 - ieeexplore.ieee.org
Regaining the lost functionality of limbs is the top priority for people with motor skills
impairment as it directly affects their ability to execute activities of daily living and hence …