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Brain–computer interface: trend, challenges, and threats
Brain–computer interface (BCI), an emerging technology that facilitates communication between brain and computer, has attracted a great deal of...
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Human attention detection system using deep learning and brain–computer interface
Brain–Computer Interface is tested as a successful method in improving human cognitive functions such as attention and memory. Attention plays a...
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Electroencephalogram based brain-computer interface: Applications, challenges, and opportunities
Brain-Computer Interfaces (BCI) is an exciting and emerging research area for researchers and scientists. It is a suitable combination of software...
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OISVM: Optimal Incremental Support Vector Machine-based EEG Classification for Brain-computer Interface Model
The brain-computer interface (BCI) is a field of computer science where users can interact with devices in terms of brain signals. The brain signals...
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Mobile Gaming EMG-Based Brain Computer Interface
Brain Computer Interface (BCI) has demonstrated significant effectiveness in optimizing the usability of mobile applications, particularly in the...
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Brain-computer interface prototype to support upper limb rehabilitation processes in the human body
The high potential for creating brain-computer interfaces (BCIs) and video games for upper limb rehabilitation has been demonstrated in recent years....
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Adaptive Spatial Filtering-based Component Exploration model for SSVEP-based Brain-Computer Interface for target identification
Non-invasive Brain-Computer Interface (BCI) systems have gained a massive boost from the advancement and developments in signal processing...
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A Study on Brain–Computer Interface: Methods and Applications
Brain–Computer Interface (BCI) is a technology which captures the neuronal impulses and converts them into instruction for controlling the output...
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Cross-subject EEG feature matrix classification method and its application in brain-computer interface
EEG signals are widely utilized in brain-computer interface (BCI) applications. However, the non-linear and non-stationary nature of EEG signals...
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Boosting motor imagery brain-computer interface classification using multiband and hybrid feature extraction
Brain-computer interface (BCI) is a new promising technology for control and communication, the BCI system aims to decode the measured brain activity...
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Enhance Reading Comprehension from EEG-Based Brain-Computer Interface
Electroencephalography (EEG)-based brain-computer interfaces (BCIs) have emerged as a valuable technology for decoding human cognitive processes,...
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Reinforcement learning-based feature selection for improving the performance of the brain–computer interface system
An electroencephalogram (EEG)-based brain–computer interface (BCI) provides a communication link between the brain and an external device. The...
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Virtual Reality Embodiment in Motor Imagery Brain–Computer Interface Training
This study investigates how the avatar embodiment in virtual reality (VR) influences training for operation of motor imagery brain–computer...
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Brain–Computer Interfaces
This short chapter is dedicated to a research approach that is promising but still in the infancy and questionable from an ethical point of view:...
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A Hybrid Brain-Computer Interface for Smart Car Control
Brain-computer interface (BCI) systems are often used to convert signals from brain activities into control commands through external devices. There...
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Dynamic decision-making framework for benchmarking brain–computer interface applications: a fuzzy-weighted zero-inconsistency method for consistent weights and VIKOR for stable rank
Benchmarking brain–computer interface (BCI) applications, considering all available smart training environment (STE) criteria, is a challenging task...
