Improved Pulse Detection from Head Motions Using DCT

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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.
Original languageEnglish
Title of host publicationProceedings of the 9th International Conference on Computer Vision Theory and Applications
EditorsSebastiano Battiato, José Braz
Volume3
PublisherInstitute for Systems and Technologies of Information, Control and Communication
Publication date5 Jan 2014
Pages118-124
ISBN (Print)978-989-758-009-3
DOIs
Publication statusPublished - 5 Jan 2014
EventInternational Conference on Computer Vision Theory and Applications - Lisbon, Denmark
Duration: 5 Jan 20148 Jan 2014

Conference

ConferenceInternational Conference on Computer Vision Theory and Applications
CountryDenmark
CityLisbon
Period05/01/201408/01/2014

Fingerprint

Sensors
Remote patient monitoring
Blood vessels
Hemodynamics
Computer vision
Blood

Keywords

  • Heartbeat rate
  • Head motion detection
  • Trajectory tracking
  • Feature point tracker
  • Electrocardiogram
  • Discrete cosine transforms
  • Principle component analysis

Cite this

Irani, R., Nasrollahi, K., & Moeslund, T. B. (2014). Improved Pulse Detection from Head Motions Using DCT. In S. Battiato, & J. Braz (Eds.), Proceedings of the 9th International Conference on Computer Vision Theory and Applications (Vol. 3, pp. 118-124). Institute for Systems and Technologies of Information, Control and Communication. https://doi.org/10.5220/0004669001180124
Irani, Ramin ; Nasrollahi, Kamal ; Moeslund, Thomas B. / Improved Pulse Detection from Head Motions Using DCT. Proceedings of the 9th International Conference on Computer Vision Theory and Applications . editor / Sebastiano Battiato ; José Braz. Vol. 3 Institute for Systems and Technologies of Information, Control and Communication, 2014. pp. 118-124
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Irani, R, Nasrollahi, K & Moeslund, TB 2014, Improved Pulse Detection from Head Motions Using DCT. in S Battiato & J Braz (eds), Proceedings of the 9th International Conference on Computer Vision Theory and Applications . vol. 3, Institute for Systems and Technologies of Information, Control and Communication, pp. 118-124, International Conference on Computer Vision Theory and Applications , Lisbon, Denmark, 05/01/2014. https://doi.org/10.5220/0004669001180124

Improved Pulse Detection from Head Motions Using DCT. / Irani, Ramin; Nasrollahi, Kamal; Moeslund, Thomas B.

Proceedings of the 9th International Conference on Computer Vision Theory and Applications . ed. / Sebastiano Battiato; José Braz. Vol. 3 Institute for Systems and Technologies of Information, Control and Communication, 2014. p. 118-124.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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AB - 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.

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Irani R, Nasrollahi K, Moeslund TB. Improved Pulse Detection from Head Motions Using DCT. In Battiato S, Braz J, editors, Proceedings of the 9th International Conference on Computer Vision Theory and Applications . Vol. 3. Institute for Systems and Technologies of Information, Control and Communication. 2014. p. 118-124 https://doi.org/10.5220/0004669001180124