SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 301–325 of 466 papers

TitleStatusHype
Toward asynchronous EEG-based BCI: Detecting imagined words segments in continuous EEG signalsCode0
Source Aware Deep Learning Framework for Hand Kinematic Reconstruction using EEG Signal—0
Classification of Motor Imagery EEG Signals by Using a Divergence Based Convolutional Neural NetworkCode0
FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer InterfaceCode1
A New Method for Features Normalization in Motor Imagery Few-Shot Learning using Resting-State—0
Inter-subject Deep Transfer Learning for Motor Imagery EEG Decoding—0
Real Time Vigilance Detection using Frontal EEG—0
EmoWrite: A Sentiment Analysis-Based Thought to Text Conversion -- A Validation Study—0
Decoding Event-related Potential from Ear-EEG Signals based on Ensemble Convolutional Neural Networks in Ambulatory Environment—0
Common Spatial Generative Adversarial Networks based EEG Data Augmentation for Cross-Subject Brain-Computer Interface—0
FOIT: Fast Online Instance Transfer for Improved EEG Emotion RecognitionCode0
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG dataCode1
EEG-Inception: An Accurate and Robust End-to-End Neural Network for EEG-based Motor Imagery ClassificationCode1
Online LDA based brain-computer interface system to aid disabled people—0
Classification of fNIRS Data Under Uncertainty: A Bayesian Neural Network Approach—0
Motor-Imagery-Based Brain Computer Interface using Signal Derivation and Aggregation Functions—0
4D Attention-based Neural Network for EEG Emotion Recognition—0
Real or Virtual? Using Brain Activity Patterns to differentiate Attended Targets during Augmented Reality Scenarios—0
In-Ear SpO2 for Classification of Cognitive Workload—0
Towards Real-World BCI: CCSPNet, A Compact Subject-Independent Motor Imagery FrameworkCode0
Comparison of Classification Algorithms Towards Subject-Specific and Subject-Independent BCICode0
Light-Weight 1-D Convolutional Neural Network Architecture for Mental Task Identification and Classification Based on Single-Channel EEG—0
Improving EEG Decoding via Clustering-based Multi-task Feature Learning—0
An algorithm for onset detection of linguistic segments in continuous electroencephalogram signalsCode0
T-WaveNet: Tree-Structured Wavelet Neural Network for Sensor-Based Time Series Analysis—0
Show:102550
← PrevPage 13 of 19Next →

No leaderboard results yet.