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 221230 of 466 papers

TitleStatusHype
Generating Music and Generative Art from Brain activity0
Generating Ten BCI Commands Using Four Simple Motor Imageries0
EEG2TEXT: Open Vocabulary EEG-to-Text Decoding with EEG Pre-Training and Multi-View Transformer0
Binarization Methods for Motor-Imagery Brain-Computer Interface Classification0
EEG2GAIT: A Hierarchical Graph Convolutional Network for EEG-based Gait Decoding0
Gradual Relation Network: Decoding Intuitive Upper Extremity Movement Imaginations Based on Few-Shot EEG Learning0
Edge-Fog Computing-Enabled EEG Data Compression via Asymmetrical Variational Discrete Cosine Transform Network0
Bi-Band ECoGNet for ECoG Decoding on Classification Task0
Easing Seasickness through Attention Redirection with a Mindfulness-Based Brain--Computer Interface0
Early feasibility of an embedded bi-directional brain-computer interface for ambulation0
Show:102550
← PrevPage 23 of 47Next →

No leaderboard results yet.