LAUSR

Remote heart rate measurement is an increasingly concerned research field, usually using remote photoplethysmography 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 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 non‐contact heart rate detection based on ghost imaging architecture. 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.