MRAC'24 Track 2: 2nd International Workshop on Multimodal and Responsible Affective Computing

MRAC'24 is the continuation of last year's MRAC'23. The main goal of this workshop is to promote the application of affective computing technology in real-world scenarios. We have equipped this workshop with MER'24 Challenge, which provides a platform for participants to fairly evaluate their algorithms. This year, we accepted 13 papers, including one baseline paper for MER'24. For the other 12 papers, 10 of them are related to MER'24 and 2 belong to the field of affective computing. Hope to see you at our workshop, which will be held on the afternoon of November 1st.

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Publication Details

Published
2024-10-23
DOI
https://doi.org/10.1145/3689092.3696103
Primary Topic
Emotion and Mood Recognition
Type
article
Field-Weighted Citation Impact
0.00
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article

MRAC'24 Track 2: 2nd International Workshop on Multimodal and Responsible Affective Computing

Zheng Lian, Kele Xu, Björn W. Schuller, Rui Liu et al.
Emotion and Mood Recognition
article

MRAC'24 Track 2: 2nd International Workshop on Multimodal and Responsible Affective Computing

Zheng Lian, Kele Xu, Björn W. Schuller, Rui Liu, Guoying Zhao, Bin Liu, Jianhua Tao, Erik Cambria
article en

Abstract

MRAC'24 is the continuation of last year's MRAC'23. The main goal of this workshop is to promote the application of affective computing technology in real-world scenarios. We have equipped this workshop with MER'24 Challenge, which provides a platform for participants to fairly evaluate their algorithms. This year, we accepted 13 papers, including one baseline paper for MER'24. For the other 12 papers, 10 of them are related to MER'24 and 2 belong to the field of affective computing. Hope to see you at our workshop, which will be held on the afternoon of November 1st.

National University of Defense Technology (CN), Nanyang Technological University (SG), Inner Mongolia University (CN), Institute of Automation (CN), Technical University of Munich (DE), University of Oulu (FI), Tsinghua University (CN)
Openalex Percentile: Top 77%
Emotion and Mood Recognition
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