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) …
Control of a 7-DOF robotic arm system with an SSVEP-based BCI
Although robot technology has been successfully used to empower people who suffer from
motor disabilities to increase their interaction with their physical environment, it remains a …
motor disabilities to increase their interaction with their physical environment, it remains a …
Discriminative canonical pattern matching for single-trial classification of ERP components
Event-related potentials (ERPs) are one of the most popular control signals for brain-
computer interfaces (BCIs). However, they are very weak and sensitive to the experimental …
computer interfaces (BCIs). However, they are very weak and sensitive to the experimental …
Neuronal activation detection using vector phase analysis with dual threshold circles: A functional near-infrared spectroscopy study
In this paper, a new vector phase diagram differentiating the initial decreasing phase (ie
initial dip) and the delayed hemodynamic response (HR) phase of oxy-hemoglobin changes …
initial dip) and the delayed hemodynamic response (HR) phase of oxy-hemoglobin changes …
Feature selection combining filter and wrapper methods for motor-imagery based brain–computer interfaces
Motor imagery (MI) based brain–computer interfaces help patients with movement disorders
to regain the ability to control external devices. Common spatial pattern (CSP) is a popular …
to regain the ability to control external devices. Common spatial pattern (CSP) is a popular …
A dynamic window recognition algorithm for SSVEP-based brain–computer interfaces using a spatio-temporal equalizer
The past decade has witnessed rapid development in the field of brain–computer interfaces
(BCIs). While the performance is no longer the biggest bottleneck in the BCI application, the …
(BCIs). While the performance is no longer the biggest bottleneck in the BCI application, the …
Optimization of model training based on iterative minimum covariance determinant in motor-imagery BCI
The common spatial patterns (CSP) algorithm is one of the most frequently used and
effective spatial filtering methods for extracting relevant features for use in motor imagery …
effective spatial filtering methods for extracting relevant features for use in motor imagery …
Separable EEG features induced by timing prediction for active brain-computer interfaces
Brain–computer interfaces (BCI) have witnessed a rapid development in recent years.
However, the active BCI paradigm is still underdeveloped with a lack of variety. It is …
However, the active BCI paradigm is still underdeveloped with a lack of variety. It is …
A particle swarm optimization approach in printed circuit board thermal design
A Alexandridis, E Paizis… - Integrated …, 2017 - content.iospress.com
Printed circuit boards (PCBs) have dominated the electronics market, being part of nearly
any commercial electronic device. However, the requirement for smaller and more efficient …
any commercial electronic device. However, the requirement for smaller and more efficient …