TY - JOUR
T1 - Intelligent Signal Processing for Affective Computing [From the Guest Editors]
AU - Schuller, Bjorn W.
AU - Picard, Rosalind
AU - Andre, Elisabeth
AU - Gratch, Jonathan
AU - Tao, Jianhua
N1 - Publisher Copyright:
© 1991-2012 IEEE.
PY - 2021/11/1
Y1 - 2021/11/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85118567161&partnerID=8YFLogxK
U2 - 10.1109/MSP.2021.3096415
DO - 10.1109/MSP.2021.3096415
M3 - Review article
AN - SCOPUS:85118567161
SN - 1053-5888
VL - 38
SP - 9
EP - 11
JO - IEEE Signal Processing Magazine
JF - IEEE Signal Processing Magazine
IS - 6
ER -
