Emotion Recognition with Pre-Trained Transformers Using Multimodal Signals
2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII)(2022)
摘要
In this paper, we address the problem of multimodal emotion recognition from multiple physiological signals. We demonstrate that a Transformer-based approach is suitable for this task. In addition, we present how such models may be pre-trained in a multimodal scenario to improve emotion recognition performances. We evaluate the benefits of using multimodal inputs and pre-training with our approach on a state-of-the-art dataset.
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关键词
Affective Computing,Multimodal Emotion Recognition,Machine Learning
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