New EEG Network Tracks Emotions Across Time and Space
A new deep learning framework called SSA-MTSNet improves EEG-based emotion recognition by jointly modeling spectral, spatial, and temporal dynamics, achieving ...
A new deep learning framework called SSA-MTSNet improves EEG-based emotion recognition by jointly modeling spectral, spatial, and temporal dynamics, achieving ...
In a preliminary study of 32 participants, an AI framework named A.U.R.A. that adapts in-game weather to player facial affect ...
Researchers have introduced NavLite-AttNet, a lightweight convolutional neural network incorporating hybrid attention mechanisms to classify subtle Navarasa emotional expressions with ...
A peer-reviewed literature review synthesizes how the brain perceives emotion, forms emotional memories, and enables affective computing through neural decoding.
Researchers have unveiled HybridMI-EEG, a hybrid self-supervised framework that combines masked reconstruction with mutual information upper-bound constraints to improve EEG-based ...
A systematic review in Cognitive Computation led by Zhang Xiang analyzes 49 core studies to demonstrate how integrating structured knowledge ...
A contactless deep learning framework estimated window-averaged zygomaticus major sEMG envelope amplitude from facial video with a mean correlation of ...
The framework, developed by Rabita Hasan and Sheikh Md.
A lightweight CNN-LSTM framework classifies negative, neutral, and positive sentiment from live video at 84.89 percent accuracy on RAVDESS, outperforming ...
A new AI model fusing EEG, eye tracking, and physiological signals predicted people's ratings of car cockpit designs with high ...
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© 2025 Scienmag - Science Magazine