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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 201210 of 466 papers

TitleStatusHype
Calibration-Free Driver Drowsiness Classification based on Manifold-Level AugmentationCode0
Hybrid Paradigm-based Brain-Computer Interface for Robotic Arm Control0
CropCat: Data Augmentation for Smoothing the Feature Distribution of EEG Signals0
Classification of Distraction Levels Using Hybrid Deep Neural Networks From EEG Signals0
A Hybrid Brain-Computer Interface Using Motor Imagery and SSVEP Based on Convolutional Neural Network0
EEG Opto-processor: epileptic seizure detection using diffractive photonic computing units0
EEG-NeXt: A Modernized ConvNet for The Classification of Cognitive Activity from EEG0
Closed loop BCI System for Cybathlon 2020Code1
Target-centered Subject Transfer Framework for EEG Data Augmentation0
Brain Computer Interface: Deep Learning Approach to Predict Human Emotion Recognition0
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