Optimal Source Selection for Image Photoplethysmography

Abstract : This paper presents an optimal selection on the region of interest (ROI) and color spaces to extract photoplethysmography signals from facial videos. The study is carried out under two sections; ROI selection and color space selection. We compared five different ROI selection for different regions of the face. We also investigated three color spectrums namely additive, perceptual and orthogonal color spaces. The study experimented on the publicly available human-computer interaction (HCI) database. When evaluated on 30 subjects, the results showed that the ROI selection on the forehead and the green spectrum of the additive color space to provides higher accuracy for heart rate measurement.
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Communication dans un congrès
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Contributeur : Le2i - Université de Bourgogne <>
Soumis le : vendredi 13 janvier 2017 - 15:45:16
Dernière modification le : jeudi 19 décembre 2019 - 08:48:04


  • HAL Id : hal-01435077, version 1



Mohamed Abul Hassan, Malik Aamir Saeed, N. Saad,, Babak Karasfi,, Yasir Salih Ali,, et al.. Optimal Source Selection for Image Photoplethysmography. IEEE International Instrumentation and Measurement Technology Conference (I2MTC), May 2016, Taipei, Taiwan. pp.455-459. ⟨hal-01435077⟩



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