# Towards passive heart health monitoring via smartphone camera

DevFeed: [Towards passive heart health monitoring via smartphone camera](<https://devfeed.tech/articles/towards-passive-heart-health-monitoring-via-smartphone-camera-6913.md>)

Original publisher: [Read original article](<https://research.google/blog/towards-passive-heart-health-monitoring-via-smartphone-camera/>)

Published: 2026-06-04T19:47:00Z

Content type: article

Language: en

Sources: [The latest research from Google](<https://devfeed.tech/sources/the-latest-research-from-google.md>)

Topics: [Monitoring](<https://devfeed.tech/topics/monitoring.md>), [webcam](<https://devfeed.tech/topics/webcam.md>), [dataset](<https://devfeed.tech/topics/dataset.md>), [Deep learning](<https://devfeed.tech/topics/deep-learning.md>), [Google](<https://devfeed.tech/topics/google.md>), [Ground truth / benchmark quality](<https://devfeed.tech/topics/ground-truth-benchmark-quality.md>)

Tags: [deep-learning](<https://devfeed.tech/tags/deep-learning.md>), [devices](<https://devfeed.tech/tags/devices.md>), [google](<https://devfeed.tech/tags/google.md>), [health](<https://devfeed.tech/tags/health.md>), [health-bioscience](<https://devfeed.tech/tags/health-bioscience.md>), [heart-rate-monitoring](<https://devfeed.tech/tags/heart-rate-monitoring.md>), [human-computer-interaction-and-visualization](<https://devfeed.tech/tags/human-computer-interaction-and-visualization.md>), [machine-intelligence](<https://devfeed.tech/tags/machine-intelligence.md>), [model](<https://devfeed.tech/tags/model.md>), [monitoring](<https://devfeed.tech/tags/monitoring.md>), [publication](<https://devfeed.tech/tags/publication.md>), [research](<https://devfeed.tech/tags/research.md>), [resource](<https://devfeed.tech/tags/resource.md>), [smartphones](<https://devfeed.tech/tags/smartphones.md>)

## AI overview

Google Research presents PHRM, a research system that passively estimates heart rate and resting heart rate from facial video captured by a smartphone's front-facing camera during everyday use. The system applies deep learning to video recorded after face unlock events and reports accuracy comparable to electrocardiogram-derived ground truth and wearable trackers. The publication also releases a large, diverse smartphone-video dataset and the pre-trained PHRM-mini model for qualified researchers.

## Source excerpt

Health & Bioscience