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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 121130 of 466 papers

TitleStatusHype
A Study on Stroke Rehabilitation through Task-Oriented Control of a Haptic Device via Near-Infrared Spectroscopy-Based BCI0
Covariate Shift Estimation based Adaptive Ensemble Learning for Handling Non-Stationarity in Motor Imagery related EEG-based Brain-Computer Interface0
CropCat: Data Augmentation for Smoothing the Feature Distribution of EEG Signals0
Cross-Correlation Based Discriminant Criterion for Channel Selection in Motor Imagery BCI Systems0
Canine EEG Helps Human: Cross-Species and Cross-Modality Epileptic Seizure Detection via Multi-Space Alignment0
Cross-Subject Deep Transfer Models for Evoked Potentials in Brain-Computer Interface0
Brain Computer Interface Technology for Future Battlefield0
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
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