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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 411420 of 466 papers

TitleStatusHype
A Technique Based on Chaos for Brain Computer Interfacing0
Attention-based Transfer Learning for Brain-computer Interface0
Attention Patterns Detection using Brain Computer Interfaces0
Automated Classification of L/R Hand Movement EEG Signals using Advanced Feature Extraction and Machine Learning0
Automatic Control of Reactive Brain Computer Interfaces0
Automatic Muscle Artifacts Identification and Removal from Single-Channel EEG Using Wavelet Transform with Meta-heuristically Optimized Non-local Means Filter0
Autoregressive models for biomedical signal processing0
Bandit Algorithms boost Brain Computer Interfaces for motor-task selection of a brain-controlled button0
Bayesian Networks for Brain-Computer Interfaces: A Survey0
Bayesian Nonparametric Models for Synchronous Brain-Computer Interfaces0
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