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 161170 of 466 papers

TitleStatusHype
Deep learning-based classification of fine hand movements from low frequency EEG0
Easing Seasickness through Attention Redirection with a Mindfulness-Based Brain--Computer Interface0
Edge-Fog Computing-Enabled EEG Data Compression via Asymmetrical Variational Discrete Cosine Transform Network0
EEG2GAIT: A Hierarchical Graph Convolutional Network for EEG-based Gait Decoding0
EEG2TEXT: Open Vocabulary EEG-to-Text Decoding with EEG Pre-Training and Multi-View Transformer0
EEG-assisted Modulation of Sound Sources in the Auditory Scene0
EEG-based 90-Degree Turn Intention Detection for Brain-Computer Interface0
EEG-based AI-BCI Wheelchair Advancement: A Brain-Computer Interfacing Wheelchair System Using Deep Learning Approach0
EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and their Applications0
Deep Learning Architecture for Motor Imaged Words0
Show:102550
← PrevPage 17 of 47Next →

No leaderboard results yet.