Papers Brain Computer Interface
“Brain Computer Interface” 태그가 달린 논문 466편 · 필터 해제
Investigating EEG-Based Functional Connectivity Patterns for Multimodal Emotion Recognition
Compared with the rich studies on the motor brain-computer interface (BCI), the recently emerging affective BCI presents distinct challenges since the brain functional connectivity networks involving emotion are not well…
Brain Computer InterfaceClusteringEEGElectroencephalogram (EEG)+3An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing
This paper presents an accurate and robust embedded motor-imagery brain-computer interface (MI-BCI). The proposed novel model, based on EEGNet, matches the requirements of memory footprint and computational resources of …
Brain Computer Interfacechannel selectionEdge-computingEEG+3Mindfulness Improves Brain Computer Interface Performance by Increasing Control over Neural Activity in the Alpha Band
Brain-computer interfaces (BCIs) are promising tools for assisting patients with paralysis, but suffer from long training times and variable user proficiency. Mind-body awareness training (MBAT) can improve BCI learn…
Brain Computer InterfaceEEGElectroencephalogram (EEG)Multi-Scale Neural network for EEG Representation Learning in BCI
Recent advances in deep learning have had a methodological and practical impact on brain-computer interface research. Among the various deep network architectures, convolutional neural networks have been well suited for …
Brain Computer InterfaceEEGElectroencephalogram (EEG)Representation LearningDeepBrain: Towards Personalized EEG Interaction through Attentional and Embedded LSTM Learning
The "mind-controlling" capability has always been in mankind's fantasy. With the recent advancements of electroencephalograph (EEG) techniques, brain-computer interface (BCI) researchers have explored various solutions t…
Brain Computer InterfaceEEGElectroencephalogram (EEG)Towards a Fast Steady-State Visual Evoked Potentials (SSVEP) Brain-Computer Interface (BCI)
Steady-state visual evoked potentials (SSVEP) brain-computer interface (BCI) provides reliable responses leading to high accuracy and information throughput. But achieving high accuracy typically requires a relatively lo…
Brain Computer InterfaceSSVEPMotor Imagery Classification of Single-Arm Tasks Using Convolutional Neural Network based on Feature Refining
Brain-computer interface (BCI) decodes brain signals to understand user intention and status. Because of its simple and safe data acquisition process, electroencephalogram (EEG) is commonly used in non-invasive BCI. One …
Brain Computer InterfaceEEGElectroencephalogram (EEG)General Classification+1Towards Brain-Computer Interfaces for Drone Swarm Control
Noninvasive brain-computer interface (BCI) decodes brain signals to understand user intention. Recent advances have been developed for the BCI-based drone control system as the demand for drone control increases. Especia…
Brain Computer InterfaceEEGElectroencephalogram (EEG)General ClassificationClassification of High-Dimensional Motor Imagery Tasks based on An End-to-end role assigned convolutional neural network
A brain-computer interface (BCI) provides a direct communication pathway between user and external devices. Electroencephalogram (EEG) motor imagery (MI) paradigm is widely used in non-invasive BCI to obtain encoded sign…
Brain Computer InterfaceEEGElectroencephalogram (EEG)General Classification+1Tiny noise, big mistakes: Adversarial perturbations induce errors in Brain-Computer Interface spellers
An electroencephalogram (EEG) based brain-computer interface (BCI) speller allows a user to input text to a computer by thought. It is particularly useful to severely disabled individuals, e.g., amyotrophic lateral scler…
Brain Computer InterfaceEEGElectroencephalogram (EEG)MindReading: An Ultra-Low-Power Photonic Accelerator for EEG-based Human Intention Recognition
A scalp-recording electroencephalography (EEG)-based brain-computer interface (BCI) system can greatly improve the quality of life for people who suffer from motor disabilities. Deep neural networks consisting of multipl…
Brain Computer InterfaceEEGElectroencephalogram (EEG)Intent DetectionEEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and their Applications
Brain-Computer Interface (BCI) is a powerful communication tool between users and systems, which enhances the capability of the human brain in communicating and interacting with the environment directly. Advances in neur…
Brain Computer InterfaceEEGElectroencephalogram (EEG)Transfer LearningEEG-based Drowsiness Estimation for Driving Safety using Deep Q-Learning
Fatigue is the most vital factor of road fatalities and one manifestation of fatigue during driving is drowsiness. In this paper, we propose using deep Q-learning to analyze an electroencephalogram (EEG) dataset captured…
Brain Computer InterfaceDeep Reinforcement LearningEEGElectroencephalogram (EEG)+4Capsule Attention for Multimodal EEG-EOG Representation Learning with Application to Driver Vigilance Estimation
Driver vigilance estimation is an important task for transportation safety. Wearable and portable brain-computer interface devices provide a powerful means for real-time monitoring of the vigilance level of drivers to he…
Brain Computer InterfaceEEGElectroencephalogram (EEG)Representation LearningNavigating in Virtual Reality using Thought: The Development and Assessment of a Motor Imagery based Brain-Computer Interface
Brain-computer interface (BCI) systems have potential as assistive technologies for individuals with severe motor impairments. Nevertheless, individuals must first participate in many training sessions to obtain adequate…
Brain Computer InterfaceEEGElectroencephalogram (EEG)Motor Imagery+1Different Set Domain Adaptation for Brain-Computer Interfaces: A Label Alignment Approach
A brain-computer interface (BCI) system usually needs a long calibration session for each new subject/task to adjust its parameters, which impedes its transition from the laboratory to real-world applications. Domain ada…
Brain Computer InterfaceDomain AdaptationMotor ImageryTransfer LearningDeep Learning Decoding of Mental State in Non-invasive Brain Computer Interface
Brain computer interface (BCI) has been popular as a key approach to monitor our brains recent year. Mental states monitoring is one of the most important BCI applications and becomes increasingly accessible. However, th…
Brain Computer InterfaceEEGEeg DecodingElectroencephalogram (EEG)+1Evaluating a Semi-Autonomous Brain-Computer Interface Based on Conformal Geometric Algebra and Artificial Vision
In this paper, we evaluate a semi-autonomous brain-computer interface (BCI) for manipulation tasks. In such system, the user controls a robotic arm through motor imagery commands. In traditional process-control BCI syste…
Brain Computer InterfaceMotor ImageryMutual Information-driven Subject-invariant and Class-relevant Deep Representation Learning in BCI
In recent years, deep learning-based feature representation methods have shown a promising impact in electroencephalography (EEG)-based brain-computer interface (BCI). Nonetheless, owing to high intra- and inter-subject …
Brain Computer InterfaceDomain AdaptationEEGElectroencephalogram (EEG)+2Translating neural signals to text using a Brain-Computer Interface
Brain-Computer Interfaces (BCI) may help patients with faltering communication abilities due to neurodegenerative diseases produce text or speech by direct neural processing. However, their practical realization has prov…
Brain Computer Interface