Past, present, and future of EEG-based BCI applications

K Värbu, N Muhammad, Y Muhammad - Sensors, 2022 - mdpi.com
An electroencephalography (EEG)-based brain–computer interface (BCI) is a system that
provides a pathway between the brain and external devices by interpreting EEG. EEG …

[HTML][HTML] A survey on robots controlled by motor imagery brain-computer interfaces

J Zhang, M Wang - Cognitive Robotics, 2021 - Elsevier
A brain-computer interface (BCI) can provide a communication approach conveying brain
information to the outside. Especially, the BCIs based on motor imagery play the important …

Comprehensive review on brain-controlled mobile robots and robotic arms based on electroencephalography signals

M Aljalal, S Ibrahim, R Djemal, W Ko - Intelligent service robotics, 2020 - Springer
There is a significant progress in the development of brain-controlled mobile robots and
robotic arms in the recent years. New advances in electroencephalography (EEG) …

Motor imagery, P300 and error-related EEG-based robot arm movement control for rehabilitation purpose

S Bhattacharyya, A Konar, DN Tibarewala - Medical & biological …, 2014 - Springer
The paper proposes a novel approach toward EEG-driven position control of a robot arm by
utilizing motor imagery, P300 and error-related potentials (ErRP) to align the robot arm with …

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 …

Interval type-2 fuzzy logic based multiclass ANFIS algorithm for real-time EEG based movement control of a robot arm

S Bhattacharyya, D Basu, A Konar… - Robotics and Autonomous …, 2015 - Elsevier
Brain–computer interfacing is an emerging field of research where signals extracted from the
human brain are used for decision making and generation of control signals. Selection of the …

A synergetic brain-machine interfacing paradigm for multi-DOF robot control

S Bhattacharyya, S Shimoda… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
This paper proposes a novel brain-machine interfacing (BMI) paradigm for control of a
multijoint redundant robot system. Here, the user would determine the direction of end-point …

Brain computer interfacing system using grey wolf optimizer and deep neural networks

A Nakra, M Duhan - International Journal of Information Technology, 2022 - Springer
EEG signals are used to capture human brain activity. EEG signals play a vital role in motor
imagery applications to control hands, feet, etc. A brain computer interface (BCI) is …

人工智能在军事医学中的应用现状及展望.

刘晶晶, 张新颖, 桂莉, 陈国良 - Chinese Medical Equipment …, 2021 - search.ebscohost.com
介绍了人工智能(artificial intelligence, AI) 在伤员搜救和管理, 伤员救治, 军事医学培训,
医疗数据管理等军事医学领域中的应用现状, 分析了AI 在军事医学应用中存在的问题 …

Performance analysis of ensemble methods for multi-class classification of motor imagery EEG signal

S Bhattacharyya, A Konar… - Proceedings of The …, 2014 - ieeexplore.ieee.org
Recent advances in the field of Brain-computer Interfacing (BCI) has opened wide potentials
in neuro-rehabilitative applications. Electeroencephalography (EEG) is the most frequently …