Improved Pulse Detection from Head Motions using DCT

Ramin Irani, Kamal Nasrollahi, Thomas B. Moeslund

Abstract

The heart pulsation sends out the blood throughout the body. The rate in which the heart performs this vital task, heartbeat rate, is of curial importance to the body. Therefore, measuring heartbeat rate, a.k.a. pulse detection, is very important in many applications, especially the medical ones. To measure it, physicians traditionally, either sense the pulsations of some blood vessels or install some sensors on the body. In either case, there is a need for a physical contact between the sensor and the body to obtain the heartbeat rate. This might not be always feasible, for example, for applications like remote patient monitoring. In such cases, contactless sensors, mostly based on computer vision techniques, are emerging as interesting alternatives. This paper proposes such a system, in which the heartbeats (pulses) are detected by subtle motions that appear on the face due to blood circulation. The proposed system has been tested in different facial expressions. The experimental results show that the proposed system is correct and robust and outperforms state-of-the-art.

References

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Paper Citation


in Harvard Style

Irani R., Nasrollahi K. and Moeslund T. (2014). Improved Pulse Detection from Head Motions using DCT . In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-009-3, pages 118-124. DOI: 10.5220/0004669001180124


in Bibtex Style

@conference{visapp14,
author={Ramin Irani and Kamal Nasrollahi and Thomas B. Moeslund},
title={Improved Pulse Detection from Head Motions using DCT},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={118-124},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004669001180124},
isbn={978-989-758-009-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2014)
TI - Improved Pulse Detection from Head Motions using DCT
SN - 978-989-758-009-3
AU - Irani R.
AU - Nasrollahi K.
AU - Moeslund T.
PY - 2014
SP - 118
EP - 124
DO - 10.5220/0004669001180124