SOTAVerified

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 271280 of 466 papers

TitleStatusHype
Real-Time Brain-Computer Interface Control of Walking Exoskeleton with Bilateral Sensory Feedback0
Real-Time EEG Classification via Coresets for BCI Applications0
Real Time Vigilance Detection using Frontal EEG0
Reconfiguration of Brain Network between Resting-state and Oddball Paradigm0
Reconfiguring motor circuits for a joint manual and BCI task0
Reducing training requirements through evolutionary based dimension reduction and subject transfer0
EPOC Emotiv EEG Basics0
Reputation-Based Federated Learning Defense to Mitigate Threats in EEG Signal Classification0
Research Advances and New Paradigms for Biology-inspired Spiking Neural Networks0
Revisiting the Application of Feature Selection Methods to Speech Imagery BCI Datasets0
Show:102550
← PrevPage 28 of 47Next →

No leaderboard results yet.