Tag: affective computing

Researchers in China have developed a dual-path deep learning network that keeps multimodal sentiment analysis accurate even when text, audio ...

A scoping review of 13 studies spanning 25 years finds that child-centered play therapy delivers measurable but heterogeneous benefits for ...

Researchers report an explainable dual-path attention convolution network that classifies emotions in speech with 98.6% accuracy on the RAVDESS benchmark ...

A new diffusion-based framework called AffectMoE uses continuous valence–arousal soft routing over emotion-specific experts to generate 3D dance movements that ...

A new deep learning system embeds the peak-end rule directly into its architecture, predicting how people will retrospectively judge emotional ...

Researchers in China have developed a reliability-aware disentangled adaptive network that dynamically weighs the trustworthiness of language, facial, and acoustic ...

Researchers in India have developed a hybrid convolutional neural network and vision transformer that fuses text, speech, video and physiological ...

Human emotion, long considered the most elusive territory of the mind, is being pulled steadily into the reach of machines—and ...