Neural decoding of EEG signals with machine learning: a systematic review
Electroencephalography (EEG) is a non-invasive technique used to record the brain's
evoked and induced electrical activity from the scalp. Artificial intelligence, particularly …
evoked and induced electrical activity from the scalp. Artificial intelligence, particularly …
[HTML][HTML] Brain computer interfaces, a review
LF Nicolas-Alonso, J Gomez-Gil - sensors, 2012 - mdpi.com
A brain-computer interface (BCI) is a hardware and software communications system that
permits cerebral activity alone to control computers or external devices. The immediate goal …
permits cerebral activity alone to control computers or external devices. The immediate goal …
Internal feature selection method of CSP based on L1-norm and Dempster–Shafer theory
The common spatial pattern (CSP) algorithm is a well-recognized spatial filtering method for
feature extraction in motor imagery (MI)-based brain–computer interfaces (BCIs). However …
feature extraction in motor imagery (MI)-based brain–computer interfaces (BCIs). However …
[HTML][HTML] Signal processing techniques for motor imagery brain computer interface: A review
S Aggarwal, N Chugh - Array, 2019 - Elsevier
Abstract Motor Imagery Brain Computer Interface (MI-BCI) provides a non-muscular channel
for communication to those who are suffering from neuronal disorders. The designing of an …
for communication to those who are suffering from neuronal disorders. The designing of an …
Recognizing the degree of human attention using EEG signals from mobile sensors
NH Liu, CY Chiang, HC Chu - sensors, 2013 - mdpi.com
During the learning process, whether students remain attentive throughout instruction
generally influences their learning efficacy. If teachers can instantly identify whether students …
generally influences their learning efficacy. If teachers can instantly identify whether students …
A review of classification algorithms for EEG-based brain–computer interfaces
In this paper we review classification algorithms used to design brain–computer interface
(BCI) systems based on electroencephalography (EEG). We briefly present the commonly …
(BCI) systems based on electroencephalography (EEG). We briefly present the commonly …
Combining brain–computer interfaces and assistive technologies: state-of-the-art and challenges
In recent years, new research has brought the field of electroencephalogram (EEG)-based
brain–computer interfacing (BCI) out of its infancy and into a phase of relative maturity …
brain–computer interfacing (BCI) out of its infancy and into a phase of relative maturity …
Brain-computer interfaces for communication and control
DJ McFarland, JR Wolpaw - Communications of the ACM, 2011 - dl.acm.org
Brain-computer interfaces for communication and control Page 1 60 CommunICatIons of the
aCm | MAy 2011 | vOl. 54 | nO. 5 contributed articles It has been known since the pioneering …
aCm | MAy 2011 | vOl. 54 | nO. 5 contributed articles It has been known since the pioneering …
A survey of signal processing algorithms in brain–computer interfaces based on electrical brain signals
Brain–computer interfaces (BCIs) aim at providing a non-muscular channel for sending
commands to the external world using the electroencephalographic activity or other …
commands to the external world using the electroencephalographic activity or other …
Neurotechnologies for human cognitive augmentation: current state of the art and future prospects
Recent advances in neuroscience have paved the way to innovative applications that
cognitively augment and enhance humans in a variety of contexts. This paper aims at …
cognitively augment and enhance humans in a variety of contexts. This paper aims at …