학술논문

Intelligent Signal Processing for Affective Computing [From the Guest Editors]
Document Type
Periodical
Source
IEEE Signal Processing Magazine IEEE Signal Process. Mag. Signal Processing Magazine, IEEE. 38(6):9-11 Nov, 2021
Subject
Signal Processing and Analysis
Communication, Networking and Broadcast Technologies
Computing and Processing
Special issues and sections
Affective computing
Intelligent systems
Physiology
Cognition
Human factors
Language
ISSN
1053-5888
1558-0792
Abstract
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.