Human Affect Special Issue in IEEE TAC

17 November 2021

Photo: computer.org

The Special Issue on Automated Perception of Human Affect from Longitudinal Behavioral Data has been published in IEEE Transactions on Affective Computing. The Knowledge Technology group contributed to the organization of this special issue. Editors of this special issue include Pablo Barros, Stefan Wermter, Ognjen Rudovic, and Hatice Gunes. The abstract of the editorial is as follows:

The papers in this special section are aimed at contributions from computational neuroscience and psychology, artificial intelligence, machine learning, and affective computing, challenging and expanding current research on interpretation and estimation of human affective behavior from longitudinal data, i.e., single or multiple modalities captured over extended periods of time allowing efficient representation of behavior and inference in terms of affect and other socio-cognitive dimensions.

Please find papers published in this special issue here.