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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

Showing 211220 of 466 papers

TitleStatusHype
Feature Selection via Dynamic Graph-based Attention Block in MI-based EEG Signals0
EEG-based 90-Degree Turn Intention Detection for Brain-Computer Interface0
BioGAP: a 10-Core FP-capable Ultra-Low Power IoT Processor, with Medical-Grade AFE and BLE Connectivity for Wearable Biosignal Processing0
Analysis of artifacts in EEG signals for building BCIs0
Advancing Brain-Computer Interface System Performance in Hand Trajectory Estimation with NeuroKinect0
EEG-assisted Modulation of Sound Sources in the Auditory Scene0
EEG2TEXT: Open Vocabulary EEG-to-Text Decoding with EEG Pre-Training and Multi-View Transformer0
Binarization Methods for Motor-Imagery Brain-Computer Interface Classification0
Fuzzy temporal convolutional neural networks in P300-based Brain-computer interface for smart home interaction0
EEG2GAIT: A Hierarchical Graph Convolutional Network for EEG-based Gait Decoding0
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