Smartphone camera takes users’ pulse passively during device use

AI Insight

Researchers have developed a machine-learning system that can measure heart rate by analyzing facial video captured passively by smartphone front-facing cameras during normal device usage. The system achieves accuracy levels that meet industry standards for heart-rate measurement and performs comparably to wearable fitness devices when measuring daily resting heart rate. This contactless monitoring approach operates in the background without requiring any active user participation.

Why it matters

This technology could enable continuous cardiovascular health monitoring without requiring dedicated wearable devices or active user engagement. It has potential applications in preventive healthcare, early detection of cardiac irregularities, and expanding health monitoring access to populations who may not use or afford dedicated medical devices.