Effect of Motion Artifact on Digital Camera Based Heart Rate Measurement

M.A. Hassan 1 A.S. Malik 2 N Saad 2 David Fofi 3, 2, * Fabrice Meriaudeau 3, 2, *
* Auteur correspondant
1 University Tecknologi PETRONAS
2 CISIR - Centre for Intelligent Signal and Imaging Research (Universiti Teknologi Petronas)
3 Le2i - Laboratoire d'Electronique, d'Informatique et d'Image [EA 7508]
Abstract : Depression is one of the most prevalent mental disorders, burdening many people world-wide. A system with the potential of serving as a decision support system is proposed, based on novel features extracted from facial expression geometry and speech, by interpreting non-verbal manifestations of depression. The proposed system has been tested both in gender independent and gender based modes, and with different fusion methods. The algorithms were evaluated for several combinations of parameters and classification schemes, on the dataset provided by the Audio/Visual Emotion Challenge of 2013 and 2014. The proposed framework achieved a precision of 94.8% for detecting persons achieving high scores on a self-report scale of depressive symptomatology. Optimal system performance was obtained using a nearest neighbour classifier on the decision fusion of geometrical features in the gender independent mode, and audio based features in the gender based mode; single visual and audio decisions were combined with the OR binary operation.
Keywords : Motion artifacts Heart rate Lighting Skin Digital cameras Face Databases Cameras Cardiology Patient monitoring Photoplethysmography Digital camera remote health monitoring Biomedical technology Heart rate measurement method Photoplethysmography signal MAHNOB-HCI database Biomedical measurement Motion artifact effect
Type de document :
Communication dans un congrès
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https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01628324
Contributeur : Le2i - Université de Bourgogne <>
Soumis le : vendredi 3 novembre 2017 - 11:35:27
Dernière modification le : vendredi 7 décembre 2018 - 16:48:04

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  • HAL Id : hal-01628324, version 1

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UNIV-BOURGOGNE | UNIV-BM | LE2I | UNIV-BM-THESE | UNIV-HESAM

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M.A. Hassan, A.S. Malik, N Saad, David Fofi, Fabrice Meriaudeau. Effect of Motion Artifact on Digital Camera Based Heart Rate Measurement. 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) , Engineering in Medicine and Biology Society (EMBC) Jul 2017, Jeju Island, South Korea. ⟨hal-01628324⟩

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