Listar por tema "affective computing"

Mostrando ítems 1-3 de 3

Brain fMRI segmentation under emotion stimuli incorporating attention-based deep convolutional neural networks

Liu, Jie; Dey, Nilanjan; Das, Nabanita; González-Crespo, Rubén ; Shi, Fuqian; Liu, Chanjuan (Applied Soft Computing, 2022)

Functional magnetic resonance imaging (fMRI) is widely used for clinical examinations, diagnosis, and treatment. By segmenting fMRI images, large-scale medical image data can be processed more efficiently. Most deep learning ...
Eye-Tracking Signals Based Affective Classification Employing Deep Gradient Convolutional Neural Networks

Li, Yuanfeng; Deng, Jiangang; Wu, Qun; Wang, Ying (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)

Utilizing biomedical signals as a basis to calculate the human affective states is an essential issue of affective computing (AC). With the in-depth research on affective signals, the combination of multi-model cognition ...
Simplified inverse filter tracked affective acoustic signals classification incorporating deep convolutional neural networks

Kuang, Yuxiang; Wu, Qun; Wang, Ying; Dey, Nilanjan; Shi, Fuqian; González-Crespo, Rubén ; Simon Sherratt, R. (Applied Soft Computing, 12/2020)

Facial expressions, verbal, behavioral, such as limb movements, and physiological features are vital ways for affective human interactions. Researchers have given machines the ability to recognize affective communication ...