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Brain Computer Interface

A Brain-Computer Interface (BCI), also known as a Brain-Machine Interface (BMI), is a technology that enables direct communication between the brain and an external device, such as a computer or a machine, without the need for any muscular or peripheral nerve activity. Essentially, BCIs establish a direct pathway between the brain and an external device, allowing for bidirectional communication.

BCIs typically work by detecting and interpreting brain signals, which are then translated into commands that control external devices or provide feedback to the user. These brain signals can be detected through various methods, including electroencephalography (EEG), which measures electrical activity in the brain through electrodes placed on the scalp, or invasive techniques such as implanted electrodes.

Papers

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Showing 251–300 of 466 papers

TitleStatusHype
Automatic Control of Reactive Brain Computer Interfaces—0
Student Teaching and Research Laboratory Focusing on Brain-computer Interface Paradigms - A Creative Environment for Computer Science Students -—0
Subject-independent trajectory prediction using pre-movement EEG during grasp and lift task—0
Subject-Independent Brain-Computer Interface for Decoding High-Level Visual Imagery Tasks—0
Subject-Independent Brain-Computer Interfaces with Open-Set Subject Recognition—0
Subject-Independent Classification of Brain Signals using Skip Connections—0
Subject-Independent Deep Architecture for EEG-based Motor Imagery Classification—0
Sub-Scalp Brain-Computer Interface Device Design and Fabrication—0
Sub-Scalp EEG for Sensorimotor Brain-Computer Interface—0
Switching EEG Headsets Made Easy: Reducing Offline Calibration Effort Using Active Weighted Adaptation Regularization—0
Target-centered Subject Transfer Framework for EEG Data Augmentation—0
The feasibility of combining communication BCIs with FES for individuals with locked-in syndrome—0
The "Sound of Silence" in EEG -- Cognitive voice activity detection—0
The Study of Human Preference Based on Integrated Analysis of N1 and LPP Components—0
Time delay multi-feature correlation analysis to extract subtle dependencies from EEG signals—0
Topological Data Analysis (TDA) Techniques Enhance Hand Pose Classification from ECoG Neural Recordings—0
To Root Artificial Intelligence Deeply in Basic Science for a New Generation of AI—0
Toward BCI-enabled Metaverse: A Joint Learning and Resource Allocation Approach—0
Towards a Fast Steady-State Visual Evoked Potentials (SSVEP) Brain-Computer Interface (BCI)—0
Towards Asynchronous Motor Imagery-Based Brain-Computer Interfaces: a joint training scheme using deep learning—0
Towards Brain-Computer Interfaces for Drone Swarm Control—0
Towards Personalized Brain-Computer Interface Application Based on Endogenous EEG Paradigms—0
Towards personalized human AI interaction - adapting the behavior of AI agents using neural signatures of subjective interest—0
Towards Probabilistic Inference of Human Motor Intentions by Assistive Mobile Robots Controlled via a Brain-Computer Interface—0
Towards the bio-personalization of music recommendation systems: A single-sensor EEG biomarker of subjective music preference—0
Towards Unified Neural Decoding of Perceived, Spoken and Imagined Speech from EEG Signals—0
Toward the application of XAI methods in EEG-based systems—0
Transfer Learning and SpecAugment applied to SSVEP Based BCI Classification—0
Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progress Made Since 2016—0
Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data—0
Transferring BCI models from calibration to control: Observing shifts in EEG features—0
Translating Mental Imaginations into Characters with Codebooks and Dynamics-Enhanced Decoding—0
Translating neural signals to text using a Brain-Computer Interface—0
T-WaveNet: Tree-Structured Wavelet Neural Network for Sensor-Based Time Series Analysis—0
Two-step Input Spatial Auditory BCI for Japanese Kana Characters—0
UMM: Unsupervised Mean-difference Maximization—0
UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language—0
Unlocking Non-Invasive Brain-to-Text—0
Unsupervised Motor Imagery Saliency Detection Based on Self-Attention Mechanism—0
Unveiling Thoughts: A Review of Advancements in EEG Brain Signal Decoding into Text—0
Upper Limb Movement Execution Classification using Electroencephalography for Brain Computer Interface—0
Use of Neural Signals to Evaluate the Quality of Generative Adversarial Network Performance in Facial Image Generation—0
User-driven Intelligent Interface on the Basis of Multimodal Augmented Reality and Brain-Computer Interaction for People with Functional Disabilities—0
User-wise Perturbations for User Identity Protection in EEG-Based BCIs—0
Using i-vectors for subject-independent cross-session EEG transfer learning—0
Visual Motion Onset Brain-computer Interface—0
Visual tracking brain computer interface—0
Voxel selection framework based on meta-heuristic search and mutual information for brain decoding—0
Wavelet Analysis of Noninvasive EEG Signals Discriminates Complex and Natural Grasp Types—0
Wheelchair automation by a hybrid BCI system using SSVEP and eye blinks—0
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