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Generative Resident Separation and Multi-label Classification for Multi-person Activity Recognition
This paper presents two models to address the problem of multi-person activity recognition using ambient sensors in a home.
Accommodating Missing Modalities in Time-Continuous Multimodal Emotion Recognition
Decades of research indicate that emotion recognition is more effective when drawing information from multiple modalities.
Emotion Recognition with Pre-Trained Transformers Using Multimodal Signals
In this paper, we address the problem of multimodal emotion recognition from multiple physiological signals.
Transformer-Based Self-Supervised Learning for Emotion Recognition
We gathered several ECG datasets with no labels of emotion to pre-train our model, which we then fine-tuned for emotion recognition on the AMIGOS dataset.
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