Multimodal Emotion Analysis Based on Visual, Acoustic and Linguistic Features-Reference-Cited by-同舟云学术

Multimodal Emotion Analysis Based on Visual, Acoustic and Linguistic Features

Published:2022 Issue: Volume: Page:318-331
ISSN:0302-9743
Container-title:Social Computing and Social Media: Design, User Experience and Impact
language:
Short-container-title:

Author:

Koren Leon^ORCID,Stipancic Tomislav^ORCID,Ricko Andrija^ORCID,Orsag Luka^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-05061-9_23

Reference36 articles.

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2. Barrett, L.F.: How Emotions are Made: The Secret Life of the Brain (2017)

3. Stipancic, T., Rosenberg, D., Nishida, T., Jerbic, B.: Context driven model for simulating human perception – a design perspective. In: Design Computing and Cognition DCC 2016 (2016)

4. Wathan, J., Burrows, A.M., Waller, B.M., McComb, K.: EquiFACS: the equine facial action coding system. PLoS ONE (2015). https://doi.org/10.1371/journal.pone.0131738

5. Tarnowski, P., Kolodziej, M., Majkowski, A., Rak, R.J.: Emotion recognition using facial expressions. In: International Conference on Computational Science (2017). https://doi.org/10.1016/j.procs.2017.05.025

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2. PLEA: The Embodied Virtual Being;Lecture Notes in Computer Science;2024