Search Results for author:
Found 2 papers, 0 papers with code
Transformer-based Self-supervised Multimodal Representation Learning for Wearable Emotion Recognition
Recently, wearable emotion recognition based on peripheral physiological signals has drawn massive attention due to its less invasive nature and its applicability in real-life scenarios.
Fusion of Physiological and Behavioural Signals on SPD Manifolds with Application to Stress and Pain Detection
Existing multimodal stress/pain recognition approaches generally extract features from different modalities independently and thus ignore cross-modality correlations.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
