Ghost imaging-based Non-contact Heart Rate Detection

TL;DR

This paper introduces a ghost imaging-based method for non-contact heart rate detection that performs well in challenging lighting and visibility conditions, offering privacy advantages over traditional imaging.

Contribution

It proposes using ghost imaging as an alternative to traditional imaging for remote heart rate measurement in difficult scenarios, with improved privacy and accuracy.

Findings

Mean absolute error of 4.24 bpm in measurements

Effective in low light and non-line-of-sight conditions

Enhances privacy through direct signal processing

Abstract

Remote heart rate measurement is an increasingly concerned research field, usually using remote photoplethysmography (rPPG) to collect heart rate information through video data collection. However, in certain specific scenarios (such as low light conditions, intense lighting, and non-line-of-sight situations), traditional imaging methods fail to capture image information effectively, that may lead to difficulty or inability in measuring heart rate. To address these limitations, this study proposes using ghost imaging as a substitute for traditional imaging in the aforementioned scenarios. The mean absolute error between experimental measurements and reference true values is 4.24 bpm.Additionally, the bucket signals obtained by the ghost imaging system can be directly processed using digital signal processing techniques, thereby enhancing personal privacy protection.