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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 7180 of 466 papers

TitleStatusHype
ART: Artifact Removal Transformer for Reconstructing Noise-Free Multichannel Electroencephalographic Signals0
ArEEG_Words: Dataset for Envisioned Speech Recognition using EEG for Arabic Words0
A Consumer BCI for Automated Music Evaluation Within a Popular On-Demand Music Streaming Service - Taking Listener's Brainwaves to Extremes0
Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning0
ArEEG_Chars: Dataset for Envisioned Speech Recognition using EEG for Arabic Characters0
Are Brain-Computer Interfaces Feasible with Integrated Photonic Chips?0
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works0
Application of Common Spatial Patterns in Gravitational Waves Detection0
Agreement Rate Initialized Maximum Likelihood Estimator for Ensemble Classifier Aggregation and Its Application in Brain-Computer Interface0
A Computationally Efficient Multiclass Time-Frequency Common Spatial Pattern Analysis on EEG Motor Imagery0
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