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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 201–225 of 466 papers

TitleStatusHype
Evaluating a Semi-Autonomous Brain-Computer Interface Based on Conformal Geometric Algebra and Artificial Vision—0
Brain-based control of car infotainment—0
Evaluation of Classical Features and Classifiers in Brain-Computer Interface Tasks—0
An amplitudes-perturbation data augmentation method in convolutional neural networks for EEG decoding—0
EEG-based Classification of Drivers Attention using Convolutional Neural Network—0
Factorization Approach for Sparse Spatio-Temporal Brain-Computer Interface—0
Fast and accurate decoding of finger movements from ECoG through Riemannian features and modern machine learning techniques—0
EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and their Applications—0
Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning—0
Feature Learning from Incomplete EEG with Denoising Autoencoder—0
Feature Selection via Dynamic Graph-based Attention Block in MI-based EEG Signals—0
EEG-based AI-BCI Wheelchair Advancement: A Brain-Computer Interfacing Wheelchair System Using Deep Learning Approach—0
EEG-based 90-Degree Turn Intention Detection for Brain-Computer Interface—0
BioGAP: a 10-Core FP-capable Ultra-Low Power IoT Processor, with Medical-Grade AFE and BLE Connectivity for Wearable Biosignal Processing—0
Analysis of artifacts in EEG signals for building BCIs—0
Advancing Brain-Computer Interface System Performance in Hand Trajectory Estimation with NeuroKinect—0
EEG-assisted Modulation of Sound Sources in the Auditory Scene—0
EEG2TEXT: Open Vocabulary EEG-to-Text Decoding with EEG Pre-Training and Multi-View Transformer—0
Fuzzy temporal convolutional neural networks in P300-based Brain-computer interface for smart home interaction—0
Binarization Methods for Motor-Imagery Brain-Computer Interface Classification—0
Generating Music and Generative Art from Brain activity—0
Generating Ten BCI Commands Using Four Simple Motor Imageries—0
EEG2GAIT: A Hierarchical Graph Convolutional Network for EEG-based Gait Decoding—0
Edge-Fog Computing-Enabled EEG Data Compression via Asymmetrical Variational Discrete Cosine Transform Network—0
Bi-Band ECoGNet for ECoG Decoding on Classification Task—0
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