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 comprehensive review of EEG-based brain–computer interface paradigms
Advances in brain science and computer technology in the past decade have led to exciting
developments in brain–computer interface (BCI), thereby making BCI a top research area in …
developments in brain–computer interface (BCI), thereby making BCI a top research area in …
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 …
Enhancing detection of SSVEPs for a high-speed brain speller using task-related component analysis
Objective: This study proposes and evaluates a novel data-driven spatial filtering approach
for enhancing steady-state visual evoked potentials (SSVEPs) detection toward a high …
for enhancing steady-state visual evoked potentials (SSVEPs) detection toward a high …
High-speed spelling with a noninvasive brain–computer interface
The past 20 years have witnessed unprecedented progress in brain–computer interfaces
(BCIs). However, low communication rates remain key obstacles to BCI-based …
(BCIs). However, low communication rates remain key obstacles to BCI-based …
Noninvasive electroencephalogram based control of a robotic arm for reach and grasp tasks
Brain-computer interface (BCI) technologies aim to provide a bridge between the human
brain and external devices. Prior research using non-invasive BCI to control virtual objects …
brain and external devices. Prior research using non-invasive BCI to control virtual objects …
Filter bank canonical correlation analysis for implementing a high-speed SSVEP-based brain–computer interface
Objective. Recently, canonical correlation analysis (CCA) has been widely used in steady-
state visual evoked potential (SSVEP)-based brain–computer interfaces (BCIs) due to its …
state visual evoked potential (SSVEP)-based brain–computer interfaces (BCIs) due to its …
A benchmark dataset for SSVEP-based brain–computer interfaces
This paper presents a benchmark steady-state visual evoked potential (SSVEP) dataset
acquired with a 40-target brain-computer interface (BCI) speller. The dataset consists of 64 …
acquired with a 40-target brain-computer interface (BCI) speller. The dataset consists of 64 …
A review of channel selection algorithms for EEG signal processing
T Alotaiby, FEA El-Samie, SA Alshebeili… - EURASIP Journal on …, 2015 - Springer
Digital processing of electroencephalography (EEG) signals has now been popularly used
in a wide variety of applications such as seizure detection/prediction, motor imagery …
in a wide variety of applications such as seizure detection/prediction, motor imagery …
Implementing over 100 command codes for a high-speed hybrid brain-computer interface using concurrent P300 and SSVEP features
Objective: Recently, electroencephalography (EEG)-based brain-computer interfaces (BCIs)
have made tremendous progress in increasing communication speed. However, current BCI …
have made tremendous progress in increasing communication speed. However, current BCI …