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Intelligent Signal Processing for Affective Computing [From the Guest Editors]
IEEE Signal Processing Magazine ( IF 14.9 ) Pub Date : 2021-10-27 , DOI: 10.1109/msp.2021.3096415
Bjorn W. Schuller , Rosalind Picard , Elisabeth Andre , Jonathan Gratch , Jianhua Tao

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.

中文翻译:

用于情感计算的智能信号处理 [来自客座编辑]

情感计算是与情感或其他情感现象相关、源于或有意影响情感或其他情感现象的计算。一般而言,人类情感和情感是人类体验的基础,影响认知、感知以及学习和交流等日常任务,但也是人类健康和福祉的基础。情感计算领域在大约两年半的时间里已经成熟,比以往任何时候都更接近大规模使用。情感计算面临着大量不同的信号类型——音频、视频和生理信号,仅举几例是最主要的。
更新日期:2021-10-29
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