Google: Detecting Heart Rate Through Smartphone Camera AI Google researchers have developed a passive heart rate monitoring system that uses a smartphone’s front-facing camera and deep learning to analyze facial video. This technology achieves medical-grade accuracy across all skin tones, meeting industry standards for the first time in remote photoplethysmography. The system analyzes how light interacts with the skin to detect blood pulses, offering a new way to monitor cardiovascular health during everyday phone use.

• Google researchers have created a method to passively monitor heart rate using smartphone cameras and AI.
• The technology analyzes facial video captured during normal smartphone use to estimate heart rate.
• It achieves medical-grade accuracy with a mean absolute percentage error of less than 10%, meeting industry standards across all skin tones.
• This is the first large-scale demonstration of passive heart rate monitoring during everyday smartphone use.
• The system uses temporal shift convolutional neural networks and has been trained on a diverse dataset of over 350,000 video clips.
• Google plans to make its data and modeling resources available to qualified researchers. Continue reading https://aimagazine.com/news/google-detecting-heart-rate-through-smartphone-camera-ai