Self-supervised representation learning using multimodal Transformer for emotion recognition-Reference-Cited by-同舟云学术

Self-supervised representation learning using multimodal Transformer for emotion recognition

Published:2023-09-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 8th international Workshop on Sensor-Based Activity Recognition and Artificial Intelligence
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Author:

Goetz Theresa¹^ORCID,Arora Pulkit²^ORCID,Erick F. X.²^ORCID,Holzer Nina²^ORCID,Sawant Shrutika²^ORCID

Affiliation:

1. Fraunhofer Institute of integrated Circuits 91054 Erlangen, Germany, Germany

2. Fraunhofer Institute for Integrated Circuits IIS, Germany

Funder

This work was supported by the Bavarian Ministry of Economic Affairs, Regional Development and Energy through the Center for Analytics ? Data ? Applications (ADA-Center) within the framework of ?BAYERN DIGITAL II? (20-3410-2-9-8)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3615834.3615837

Reference31 articles.

1. Ubiquitous Affective Computing: A Review

2. Towards an intelligent framework for multimodal affective data analysis

3. Emotion Recognition for Human-Robot Interaction: Recent Advances and Future Perspectives

4. Multimodal Emotion Recognition Fusion Analysis Adapting BERT With Heterogeneous Feature Unification

5. Recognition of facial expressions and measurement of levels of interest from video

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