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

Showing 201210 of 466 papers

TitleStatusHype
Evaluating a Semi-Autonomous Brain-Computer Interface Based on Conformal Geometric Algebra and Artificial Vision0
EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and their Applications0
Evaluation of Classical Features and Classifiers in Brain-Computer Interface Tasks0
Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning0
EEG-based AI-BCI Wheelchair Advancement: A Brain-Computer Interfacing Wheelchair System Using Deep Learning Approach0
Factorization Approach for Sparse Spatio-Temporal Brain-Computer Interface0
Fast and accurate decoding of finger movements from ECoG through Riemannian features and modern machine learning techniques0
EEG-based 90-Degree Turn Intention Detection for Brain-Computer Interface0
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
Show:102550
← PrevPage 21 of 47Next →

No leaderboard results yet.