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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 131140 of 466 papers

TitleStatusHype
A case study on profiling of an EEG-based brain decoding interface on Cloud and Edge servers0
3D-CLMI: A Motor Imagery EEG Classification Model via Fusion of 3D-CNN and LSTM with Attention0
Brain-based control of car infotainment0
An amplitudes-perturbation data augmentation method in convolutional neural networks for EEG decoding0
Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning0
BioGAP: a 10-Core FP-capable Ultra-Low Power IoT Processor, with Medical-Grade AFE and BLE Connectivity for Wearable Biosignal Processing0
Analysis of artifacts in EEG signals for building BCIs0
Advancing Brain-Computer Interface System Performance in Hand Trajectory Estimation with NeuroKinect0
Binarization Methods for Motor-Imagery Brain-Computer Interface Classification0
Bi-Band ECoGNet for ECoG Decoding on Classification Task0
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