Continuous Real-time Heart Rate Monitoring from Face Images

Tatsuya Mori, Daisuke Uchida, Masato Sakata, Takuro Oya, Yasuyuki Nakata, Kazuho Maeda, Yoshinori Yaginuma, Akihiro Inomata

Abstract

A real-time monitoring method of heart rate (HR) from face images using Real-time Pulse Extraction Method (RPEM) is described and corroborated for the theoretical efficacy by investigating fundamental mechanisms through three kinds of experiments; (i) measurement of light reflection from face covered by copper film, (ii) spectroscopy measurement and (iii) simultaneous measurement of face images and laser speckle images. The investigation indicated the main causes of brightness change are both the green light absorption variation by the blood volume changes and the face surface reflection variation by pulsatory face movements. RPEM removes the motion noise from the green light absorption variation and the effectiveness is ensured by comparing with the pulse wave of the ear photoplethysmography. We also applied RPEM to continuous real-time HR monitoring of seven participants during office work under non-controlled condition, and achieved HR measured rate of 44 % to the number of referential ECG beats while face is detected, with RMSE = 6.7 bpm as an average result of five days.

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Paper Citation


in Harvard Style

Mori T., Uchida D., Sakata M., Oya T., Nakata Y., Maeda K., Yaginuma Y. and Inomata A. (2016). Continuous Real-time Heart Rate Monitoring from Face Images . In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, (BIOSTEC 2016) ISBN 978-989-758-170-0, pages 52-56. DOI: 10.5220/0005682400520056


in Bibtex Style

@conference{biosignals16,
author={Tatsuya Mori and Daisuke Uchida and Masato Sakata and Takuro Oya and Yasuyuki Nakata and Kazuho Maeda and Yoshinori Yaginuma and Akihiro Inomata},
title={Continuous Real-time Heart Rate Monitoring from Face Images},
booktitle={Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, (BIOSTEC 2016)},
year={2016},
pages={52-56},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005682400520056},
isbn={978-989-758-170-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, (BIOSTEC 2016)
TI - Continuous Real-time Heart Rate Monitoring from Face Images
SN - 978-989-758-170-0
AU - Mori T.
AU - Uchida D.
AU - Sakata M.
AU - Oya T.
AU - Nakata Y.
AU - Maeda K.
AU - Yaginuma Y.
AU - Inomata A.
PY - 2016
SP - 52
EP - 56
DO - 10.5220/0005682400520056