A review on Virtual Reality and Augmented Reality use-cases of Brain Computer Interface based applications for smart cities

V Kohli, U Tripathi, V Chamola, BK Rout… - Microprocessors and …, 2022 - Elsevier
Abstract Brain Computer Interfaces (BCIs) and Extended Reality (XR) have seen significant
advances as independent disciplines over the past 50 years. XR has been developed as an …

EEG-based brain-controlled mobile robots: a survey

L Bi, XA Fan, Y Liu - IEEE transactions on human-machine …, 2013 - ieeexplore.ieee.org
EEG-based brain-controlled mobile robots can serve as powerful aids for severely disabled
people in their daily life, especially to help them move voluntarily. In this paper, we provide a …

A review of disability EEG based wheelchair control system: Coherent taxonomy, open challenges and recommendations

ZT Al-Qaysi, BB Zaidan, AA Zaidan… - Computer methods and …, 2018 - Elsevier
Context Intelligent wheelchair technology has recently been utilised to address several
mobility problems. Techniques based on brain–computer interface (BCI) are currently used …

Noninvasive brain–machine interfaces for robotic devices

L Tonin, JR Millán - Annual Review of Control, Robotics, and …, 2021 - annualreviews.org
The last decade has seen a flowering of applications driven by brain–machine interfaces
(BMIs), particularly brain-actuated robotic devices designed to restore the independence of …

Progress in EEG‐Based Brain Robot Interaction Systems

X Mao, M Li, W Li, L Niu, B **an… - Computational …, 2017 - Wiley Online Library
The most popular noninvasive Brain Robot Interaction (BRI) technology uses the
electroencephalogram‐(EEG‐) based Brain Computer Interface (BCI), to serve as an …

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) …

Recent development of signal processing algorithms for SSVEP-based brain computer interfaces

Q Liu, K Chen, Q Ai, SQ **e - Journal of Medical and Biological …, 2014 - airitilibrary.com
Steady-state visual evoked potential (SSVEP)-based brain computer interfaces (BCIs) have
gained considerable research interest because of their higher signal-to-noise ratio and …

Generalized Time Domain Prediction Model for Motor Imagery-based Wheelchair Movement Control

ZT Al-Qaysi, MS Suzani… - … Journal of Big Data, 2024 - mesopotamian.press
Brain-computer interface (BCI-MI)-based wheelchair control is, in principle, an appropriate
method for completely paralyzed people with a healthy brain. In a BCI-based wheelchair …

Optimal time window selection in the wavelet signal domain for brain–computer interfaces in wheelchair steering control

ZT Al-Qaysi, MS Suzani… - Applied Data …, 2024 - journals.mesopotamian.press
Background and objective: Principally, the procedure of pattern recognition in terms of
segmentation plays a significant role in a BCI-based wheelchair control system for avoiding …

A frequency-domain pattern recognition model for motor imagery-based brain-computer interface

ZT Al-Qaysi, MS Suzani… - Applied Data …, 2024 - journals.mesopotamian.press
Brain-computer interface (BCI) is an appropriate technique for totally paralyzed people with
a healthy brain. BCI based motor imagery (MI) is a common approach and widely used in …