Dr. Daniel J. McDuff Profile

Dr. Daniel J. McDuff

at Microsoft Research

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Author

Publications (5)

Proceedings Article | 20 February 2019 Presentation + Paper

RGB camera-based noncontact imaging of plethysmogram and spontaneous low-frequency oscillation in skin perfusion before and during psychological stress

Izumi Nishidate, Chihiro Tanabe, Daniel McDuff, Kazuya Nakano, Kyuichi Niizeki, Yoshihisa Aizu, Hideaki Haneishi

Proceedings Volume 10885, 1088507 (2019) https://doi.org/10.1117/12.2509752

KEYWORDS: Skin, RGB color model, Cameras, Chromophores, Digital cameras, In vivo imaging, Blood, Nervous system, Hemodynamics, Tissues

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Proceedings Article | 20 February 2018 Paper

Evaluation of arterial oxygen saturation using RGB camera-based remote photoplethysmography

Izumi Nishidate, Kazuya Nakano, Daniel McDuff, Kyuichi Niizeki, Yoshihisa Aizu, Hideaki Haneishi

Proceedings Volume 10501, 1050111 (2018) https://doi.org/10.1117/12.2290448

KEYWORDS: RGB color model, Skin, Oxygen, Cameras, Tissues, Chromophores, Oximeters, Photoplethysmography, Digital cameras, In vivo imaging

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Proceedings Article | 20 February 2018 Paper

A fast non-contact imaging photoplethysmography method using a tissue-like model

Daniel McDuff, Ethan Blackford, Justin Estepp, Izumi Nishidate

Proceedings Volume 10501, 105010Q (2018) https://doi.org/10.1117/12.2285937

KEYWORDS: Skin, RGB color model, Blood, Heart, Signal to noise ratio, Independent component analysis, Cameras, Tissue optics, Photoplethysmography, Image segmentation

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Proceedings Article | 20 February 2018 Paper

Remote spectral measurements of the blood volume pulse with applications for imaging photoplethysmography

Ethan Blackford, Justin Estepp, Daniel McDuff

Proceedings Volume 10501, 105010Z (2018) https://doi.org/10.1117/12.2291073

KEYWORDS: Signal to noise ratio, Blood, Spectroscopy, Heart, Photoplethysmography, Analytical research, Electrocardiography, Skin, Tissues

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Proceedings Article | 18 April 2017 Paper

Advancements in remote physiological measurement and applications in human-computer interaction

Daniel McDuff

Proceedings Volume 10251, 102510V (2017) https://doi.org/10.1117/12.2276026

KEYWORDS: Video, Video compression, Photoplethysmography, Digital cameras, Vital signs, Human-computer interaction, Heart, Human-machine interfaces, Signal to noise ratio, Skin

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