Paper ID: 2212.13885

Emotion Recognition with Pre-Trained Transformers Using Multimodal Signals

Juan Vazquez-Rodriguez, Grégoire Lefebvre, Julien Cumin, James L Crowley

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 pretrained 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-ofthe-art dataset.

Submitted: Dec 22, 2022