Vision language models applied to daily-life photos quantify visual environmental features that correlate with momentary affect and chronic stress, establishing a paradigm for visual exposomics.
A global measure of perceived stress
2 Pith papers cite this work. Polarity classification is still indexing.
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Wearable sensor data converted to visual embeddings and aggregated via attention MIL predicts perceived stress in elderly oncology patients with moderate accuracy (R² 0.24-0.28).
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Quantifying the human visual exposome with vision language models
Vision language models applied to daily-life photos quantify visual environmental features that correlate with momentary affect and chronic stress, establishing a paradigm for visual exposomics.
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Stress Estimation in Elderly Oncology Patients Using Visual Wearable Representations and Multi-Instance Learning
Wearable sensor data converted to visual embeddings and aggregated via attention MIL predicts perceived stress in elderly oncology patients with moderate accuracy (R² 0.24-0.28).