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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

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Showing 126–150 of 466 papers

TitleStatusHype
Cross-Subject Deep Transfer Models for Evoked Potentials in Brain-Computer Interface—0
Brain Computer Interface Technology for Future Battlefield—0
Brain Computer Interface: Deep Learning Approach to Predict Human Emotion Recognition—0
An Analysis of the Accuracy of the P300 BCI—0
A case study on profiling of an EEG-based brain decoding interface on Cloud and Edge servers—0
3D-CLMI: A Motor Imagery EEG Classification Model via Fusion of 3D-CNN and LSTM with Attention—0
Brain-based control of car infotainment—0
An amplitudes-perturbation data augmentation method in convolutional neural networks for EEG decoding—0
Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning—0
BioGAP: a 10-Core FP-capable Ultra-Low Power IoT Processor, with Medical-Grade AFE and BLE Connectivity for Wearable Biosignal Processing—0
Analysis of artifacts in EEG signals for building BCIs—0
Advancing Brain-Computer Interface System Performance in Hand Trajectory Estimation with NeuroKinect—0
Binarization Methods for Motor-Imagery Brain-Computer Interface Classification—0
Bi-Band ECoGNet for ECoG Decoding on Classification Task—0
Adaptive Subspace Sampling for Class Imbalance Processing-Some clarifications, algorithm, and further investigation including applications to Brain Computer Interface—0
Beware of Overestimated Decoding Performance Arising from Temporal Autocorrelations in Electroencephalogram Signals—0
AbsoluteNet: A Deep Learning Neural Network to Classify Cerebral Hemodynamic Responses of Auditory Processing—0
Domain Adaptation with Optimal Transport on the Manifold of SPD matrices—0
Detecting Driver's Distraction using Long-term Recurrent Convolutional Network—0
An Adaptive Contrastive Learning Model for Spike Sorting—0
Adaptive neural network classifier for decoding MEG signals—0
Bayesian Nonparametric Models for Synchronous Brain-Computer Interfaces—0
Bayesian Networks for Brain-Computer Interfaces: A Survey—0
An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing—0
A Brain-Computer Interface Augmented Reality Framework with Auto-Adaptive SSVEP Recognition—0
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