Interface, interaction, and intelligence in generalized brain–computer interfaces
A brain–computer interface (BCI) establishes a direct communication channel between a
brain and an external device. With recent advances in neurotechnology and artificial …
brain and an external device. With recent advances in neurotechnology and artificial …
A review of classification algorithms for EEG-based brain–computer interfaces: a 10 year update
Objective. Most current electroencephalography (EEG)-based brain–computer interfaces
(BCIs) are based on machine learning algorithms. There is a large diversity of classifier …
(BCIs) are based on machine learning algorithms. There is a large diversity of classifier …
A comprehensive review on critical issues and possible solutions of motor imagery based electroencephalography brain-computer interface
Motor imagery (MI) based brain–computer interface (BCI) aims to provide a means of
communication through the utilization of neural activity generated due to kinesthetic …
communication through the utilization of neural activity generated due to kinesthetic …
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 …
A large scale screening study with a SMR-based BCI: Categorization of BCI users and differences in their SMR activity
Brain-Computer Interfaces (BCIs) are inefficient for a non-negligible part of the population,
estimated around 25%. To understand this phenomenon in Sensorimotor Rhythm (SMR) …
estimated around 25%. To understand this phenomenon in Sensorimotor Rhythm (SMR) …
Brain-machine interfaces: a tale of two learners
S Perdikis, JR Millan - IEEE Systems, Man, and Cybernetics …, 2020 - ieeexplore.ieee.org
Brain-machine interface (BMI) technology has rapidly matured over the last two decades,
mainly thanks to the introduction of artificial intelligence (AI) methods, in particular, machine …
mainly thanks to the introduction of artificial intelligence (AI) methods, in particular, machine …
Immediate brain plasticity after one hour of brain–computer interface (BCI)
Key points Two groups of inexperienced brain‐computer interface users underwent a purely
mental EEG‐BCI session that rapidly impacted on their brain. Modulations in structural and …
mental EEG‐BCI session that rapidly impacted on their brain. Modulations in structural and …
Myoelectric control for upper limb prostheses
State-of-the-art high-end prostheses are electro-mechanically able to provide a great variety
of movements. Nevertheless, in order to functionally replace a human limb, it is essential that …
of movements. Nevertheless, in order to functionally replace a human limb, it is essential that …
Biosignal-based co-adaptive user-machine interfaces for motor control
User-machine interfaces map biological signals measured from the user to control
commands for external devices. The mapping from biosignals to device inputs is performed …
commands for external devices. The mapping from biosignals to device inputs is performed …