Abstract: Electroencephalography (EEG) is widely used in emotion recognition due to its reliability and noninvasiveness. However, challenges as signal noise and individual variability in EEG data ...
A Twitter/X scraper built with Playwright for browser automation and OpenAI GPT-4 for AI-powered tweet analysis. Features timeline scraping, historical search, keyword search, checkpoint/resume, proxy ...
The core of VLM-3R is a pre-trained Large Multimodal Model (LMM), integrated with modules for deriving geometric encodings, camera view encodings, and visual features from the input video; these ...
Abstract: Decoding motor imagery (MI) from electroencephalogram (EEG) signals is a cornerstone of brain–computer interface (BCI) systems. However, existing methods often face a critical tradeoff ...
Introduction: We present connectivity-based features associated with fibromyalgia, derived from raw EEG data at the sensor level. Methods: These connectivity features were identified through a ...
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