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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

Showing 291300 of 466 papers

TitleStatusHype
Upper Limb Movement Execution Classification using Electroencephalography for Brain Computer Interface0
Use of Neural Signals to Evaluate the Quality of Generative Adversarial Network Performance in Facial Image Generation0
User-driven Intelligent Interface on the Basis of Multimodal Augmented Reality and Brain-Computer Interaction for People with Functional Disabilities0
User-wise Perturbations for User Identity Protection in EEG-Based BCIs0
Using i-vectors for subject-independent cross-session EEG transfer learning0
Visual Motion Onset Brain-computer Interface0
Visual tracking brain computer interface0
Voxel selection framework based on meta-heuristic search and mutual information for brain decoding0
Wavelet Analysis of Noninvasive EEG Signals Discriminates Complex and Natural Grasp Types0
Wheelchair automation by a hybrid BCI system using SSVEP and eye blinks0
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