A Review, Current Challenges, and Future Possibilities on Emotion Recognition Using Machine Learning and Physiological Signals

A Review, Current Challenges, and Future Possibilities on Emotion Recognition Using Machine Learning and Physiological Signals

The seminal work on Affective Computing in 1995 by Picard set the base for computing that relates to, arises from, or influences emotions. Affective computing is a multidisciplinary field of research spanning the areas of computer science, psychology, and cognitive science. Potential applications in...

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Bibliographic Details
Main Authors: Patricia J. Bota, Chen Wang, Ana L. N. Fred, Hugo Placido Da Silva
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Affective computing
emotion recognition
machine learning
physiological signals
signal processing
Online Access:https://ieeexplore.ieee.org/document/8849996/

Internet

https://ieeexplore.ieee.org/document/8849996/

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