Multi-modal emotion prediction system using convergence media and active contents-Reference-Cited by-同舟云学术

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Multi-modal emotion prediction system using convergence media and active contents

Published:2021-07-26 Issue: Volume: Page:
ISSN:1617-4909
Container-title:Personal and Ubiquitous Computing
language:en
Short-container-title:Pers Ubiquit Comput

Author:

Chung Kyungyong,Kim Jin-Su

Publisher

Springer Science and Business Media LLC

Subject

Management Science and Operations Research,Computer Science Applications,Hardware and Architecture

Link

https://link.springer.com/content/pdf/10.1007/s00779-021-01602-8.pdf

Reference33 articles.

1. Kim JC, Chung K (2020) Multi-modal stacked denoising autoencoder for handling missing data in health big data. IEEE Access 8(1):104933–104943

2. Charles D (2013) The expression of the emotions in man and animals. Cambridge University Press, Cambridge. https://doi.org/10.1017/CBO9781139833813

3. Shin DH, Chung K, Park RC (2019) Detection of emotion using multi-block deep learning in a self-management interview app. Appl Sci 9(22):4830

4. Duchenne B (1990) In: Cuthbertson R (ed) The mechanism of human facial expression (studies in emotion and social interaction). Cambridge University Press, Cambridge. https://doi.org/10.1017/CBO9780511752841

5. Kim JH (2018) Emotion training: image color transfer with facial expression and emotion recognition. J Korea Comput Graph Soc 24(4):1–9

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