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arXiv · 2511.19260

Wrist Photoplethysmography Predicts Dietary Information

Kyle Verrier·Achille Nazaret·Joseph Futoma·Andrew C. Miller·Guillermo Sapiro
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Abstract

Whether wearable photoplethysmography (PPG) contains dietary information remains unknown. We trained a language model on 1.1M meals to predict meal descriptions from PPG, aligning PPG to text. PPG nontrivially predicts meal content; predictability decreases for PPGs farther from meals. This transfers to dietary tasks: PPG increases AUC by 11% for intake and satiety across held-out and independent cohorts, with gains robust to text degradation. Wearable PPG may enable passive dietary monitoring.

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Kyle Verrier, Achille Nazaret, Joseph Futoma, Andrew C. Miller, Guillermo Sapiro. 2025-11-24. Wrist Photoplethysmography Predicts Dietary Information. https://arxiv.org/abs/2511.19260

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