Schuller, Björn & Picard, Rosalind & Andre, Elisabeth & Gratch, Jonathan & Tao, Jianhua. (2021). Intelligent Signal Processing for Affective Computing [From the Guest Editors]. IEEE Signal Processing Magazine. 38. 9-11. 10.1109/MSP.2021.3096415.
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Oct. 27, 2021
Schuller, Björn & Picard, Rosalind & Andre, Elisabeth & Gratch, Jonathan & Tao, Jianhua. (2021). Intelligent Signal Processing for Affective Computing [From the Guest Editors]. IEEE Signal Processing Magazine. 38. 9-11. 10.1109/MSP.2021.3096415.
Affective computing is computing that relates to, arises from, or deliberately influences emotion or other affective phenomena. Human emotion and affect in general are fundamental to human experience, influencing cognition, perception, and everyday tasks such as learning and communication, but are also fundamental to human health and well-being. The field of affective computing has matured over its roughly two-and-a-half decades coming closer than ever to the point of usage at scale. Affective computing is facing a plethora of different signal types—audio, video, and physiological signals, to name but the most dominant.