Past, present, and future of EEG-based BCI applications
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 …
provides a pathway between the brain and external devices by interpreting EEG. EEG …
Brain computer interface based applications for training and rehabilitation of students with neurodevelopmental disorders. A literature review
The aim of this article is to explore a paradigm shift on Brain Computer Interface (BCI)
research, as well as on intervention best practices for training and rehabilitation of students …
research, as well as on intervention best practices for training and rehabilitation of students …
EEG-based brain-computer interfaces using motor-imagery: Techniques and challenges
Electroencephalography (EEG)-based brain-computer interfaces (BCIs), particularly those
using motor-imagery (MI) data, have the potential to become groundbreaking technologies …
using motor-imagery (MI) data, have the potential to become groundbreaking technologies …
Brain-computer interface: Advancement and challenges
Brain-Computer Interface (BCI) is an advanced and multidisciplinary active research domain
based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the …
based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the …
EEG-based brain-computer interfaces (BCIs): A survey of recent studies on signal sensing technologies and computational intelligence approaches and their …
Brain-Computer interfaces (BCIs) enhance the capability of human brain activities to interact
with the environment. Recent advancements in technology and machine learning algorithms …
with the environment. Recent advancements in technology and machine learning algorithms …
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 …
A new fractal pattern feature generation function based emotion recognition method using EEG
Electroencephalogram (EEG) signal analysis is one of the mostly studied research areas in
biomedical signal processing, and machine learning. Emotion recognition through machine …
biomedical signal processing, and machine learning. Emotion recognition through machine …
Brain–computer interface games based on consumer-grade EEG Devices: A systematic literature review
ABSTRACT Brain–Computer Interfaces (BCIs) are specialized systems that allow users to
control computer applications using their brain waves. With the advent of consumer-grade …
control computer applications using their brain waves. With the advent of consumer-grade …
A review of user training methods in brain computer interfaces based on mental tasks
Mental-tasks based brain–computer interfaces (MT-BCIs) allow their users to interact with an
external device solely by using brain signals produced through mental tasks. While MT-BCIs …
external device solely by using brain signals produced through mental tasks. While MT-BCIs …
Review of brain encoding and decoding mechanisms for EEG-based brain–computer interface
A brain–computer interface (BCI) can connect humans and machines directly and has
achieved successful applications in the past few decades. Many new BCI paradigms and …
achieved successful applications in the past few decades. Many new BCI paradigms and …