Rosalind Picard, director of the Affective Computing research group, co-edited the November 2021 issue of IEEE Signal Processing Magazine focused on “Recent Advances in Affective Computing.”

In their introduction to the issue, Dr. Picard and her collaborators—Björn W. Schuller (Imperial College, London), Elisabeth André (Augsburg University), Jonathan Gratch (USC’s Institute for Creative Technologies), and Jianhua Tao (Chinese Academy of Sciences)—write,

“In this special issue of IEEE Signal Processing Magazine (SPM), we survey recent advances in affective computing with a focus on intelligent signal processing. Nine articles selected from 29 submissions cover key topics including speech, music, facial, and general multimodal affective state recognition from individuals or groups, bias and fairness issues, as well as the application in mobile health. The tutorial-style articles aim to give an overview both of theory and applications. They also discuss major advances. Affective computing heavily relies on signal processing and machine intelligence, but we are certain we can raise the reader’s appetite for the exciting and challenging field of affective computing, which has a lot on its plate for signal processing and beyond in return. As a starter, this special issue first serves an introduction of the ‘classics’ as to modalities in the recognition of (human) affective states—speech, facial expression, and physiological data.”

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By Chia Evers – Nov. 22, 2021