A review on Virtual Reality and Augmented Reality use-cases of Brain Computer Interface based applications for smart cities
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 …
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 …
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
Context Intelligent wheelchair technology has recently been utilised to address several
mobility problems. Techniques based on brain–computer interface (BCI) are currently used …
mobility problems. Techniques based on brain–computer interface (BCI) are currently used …
Noninvasive brain–machine interfaces for robotic devices
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 …
(BMIs), particularly brain-actuated robotic devices designed to restore the independence of …
Progress in EEG‐Based Brain Robot Interaction Systems
The most popular noninvasive Brain Robot Interaction (BRI) technology uses the
electroencephalogram‐(EEG‐) based Brain Computer Interface (BCI), to serve as an …
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
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) …
robotic arms in the recent years. New advances in electroencephalography (EEG) …
Recent development of signal processing algorithms for SSVEP-based brain computer interfaces
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 …
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
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 …
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
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 …
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
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 …
a healthy brain. BCI based motor imagery (MI) is a common approach and widely used in …