Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels

Author:

Jiang Wei-Bang1ORCID,Liu Xuan-Hao1ORCID,Zheng Wei-Long1ORCID,Lu Bao-Liang1ORCID

Affiliation:

1. Shanghai Jiao Tong University, Shanghai, China

Funder

Shanghai Municipal Science and Technology Major Project

Shanghai Pujiang Program

National Natural Science Foundation of China

Publisher

ACM

Reference63 articles.

1. Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers

2. Emotions Recognition Using EEG Signals: A Survey

3. Introducing Attention Mechanism for EEG Signals: Emotion Recognition with Vision Transformers

4. Hangbo Bao , Wenhui Wang , Li Dong , Qiang Liu , Owais Khan Mohammed , Kriti Aggarwal, Subhojit Som, and Furu Wei. 2021 . Vlmo : Unified vision-language pre-training with mixture-of-modality-experts. arXiv preprint arXiv:2111.02358 (2021). Hangbo Bao, Wenhui Wang, Li Dong, Qiang Liu, Owais Khan Mohammed, Kriti Aggarwal, Subhojit Som, and Furu Wei. 2021. Vlmo: Unified vision-language pre-training with mixture-of-modality-experts. arXiv preprint arXiv:2111.02358 (2021).

5. EEG-based emotion recognition;Bos Danny Oude;The Influence of Visual and Auditory Stimuli,2006

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