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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 171180 of 466 papers

TitleStatusHype
Brain Computer Interface Technology for Future Battlefield0
EEG Cortical Source Feature based Hand Kinematics Decoding using Residual CNN-LSTM Neural Network0
Brain Computer Interface: Deep Learning Approach to Predict Human Emotion Recognition0
An Analysis of the Accuracy of the P300 BCI0
A case study on profiling of an EEG-based brain decoding interface on Cloud and Edge servers0
EEG-BBNet: a Hybrid Framework for Brain Biometric using Graph Connectivity0
EEG-Based User Reaction Time Estimation Using Riemannian Geometry Features0
EEG Decoding for Datasets with Heterogenous Electrode Configurations using Transfer Learning Graph Neural Networks0
EEG-Based Speech Decoding: A Novel Approach Using Multi-Kernel Ensemble Diffusion Models0
EEG-based Drowsiness Estimation for Driving Safety using Deep Q-Learning0
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