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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 211220 of 466 papers

TitleStatusHype
Hyper-automation-The next peripheral for automation in IT industries0
Comparison of Sub-Scalp EEG and Endovascular Stent-Electrode Array for Visual Evoked Potential Brain-Computer Interface0
Time delay multi-feature correlation analysis to extract subtle dependencies from EEG signals0
Decoding Neural Activity to Assess Individual Latent State in Ecologically Valid Contexts0
Autoregressive models for biomedical signal processing0
EEG Cortical Source Feature based Hand Kinematics Decoding using Residual CNN-LSTM Neural Network0
Multimodal Brain-Computer Interface for In-Vehicle Driver Cognitive Load Measurement: Dataset and Baselines0
Upper Limb Movement Execution Classification using Electroencephalography for Brain Computer Interface0
Optimized EEG based mood detection with signal processing and deep neural networks for brain-computer interface0
An embedding for EEG signals learned using a triplet loss0
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