A single image-pretrained VQ-VAE encoder, applied to spectrograms of six physiological signals, matches a modality-specific fusion baseline on WESAD stress classification while using less compute and memory.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SP 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Latent Sensor Fusion: Multimedia Learning of Physiological Signals for Resource-Constrained Devices
A single image-pretrained VQ-VAE encoder, applied to spectrograms of six physiological signals, matches a modality-specific fusion baseline on WESAD stress classification while using less compute and memory.