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A Multi-Spectral Database for NIR Heart Rate Estimation

: Rapczynski, M.; Zhang, C.; Al-Hamadi, A.; Notni, G.


Institute of Electrical and Electronics Engineers -IEEE-:
25th IEEE International Conference on Image Processing, ICIP 2018 : October 7-10, 2018, Athens, Greece
Piscataway, NJ: IEEE, 2018
ISBN: 978-1-4799-7061-2
ISBN: 978-1-4799-7062-9
International Conference on Image Processing (ICIP) <25, 2018, Athens>
Conference Paper
Fraunhofer IOF ()

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.