A Multi-Spectral Database for NIR Heart Rate Estimation

This paper presents a new dataset for contact-free heart rate estimation in the near-infrared spectrum. Most published works are either using an approach based on RGB cameras or near-infrared light of a specific wavelength. The data from these experiments is usually not available for other researchers so that no public dataset for multi-spectral heart rate estimation exists. Our new contributed dataset consists of 38 subjects, covering a spectral range of 675nm up to 950nm in 25 narrow spectral bands and allows a thorough comparison of heart rate estimation algorithms and the assessment of the chosen wavelength on the measurement accuracy