Estimation of heartbeat peak locations and heartbeat rate from facial video

Mohammad A. Haque*, Kamal Nasrollahi, Thomas B. Moeslund

*Kontaktforfatter

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

3 Citationer (Scopus)
284 Downloads (Pure)

Abstract

Available systems for heartbeat signal estimations from facial video only provide an average of Heartbeat Rate (HR) over a period of time. However, physicians require Heartbeat Peak Locations (HPL) to assess a patient’s heart condition by detecting cardiac events and measuring different physiological parameters including HR and its variability. This paper proposes a new method of HPL estimation from facial video using Empirical Mode Decomposition (EMD), which provides clearly visible heartbeat peaks in a decomposed signal. The method also provides the notion of both color- and motion-based HR estimation by using HPLs. Moreover, it introduces a decision level fusion of color and motion information for better accuracy of multi-modal HR estimation. We have reported our results on the publicly available challenging database MAHNOB-HCI to demonstrate the success of our system in estimating HPL and HR from facial videos, even when there are voluntary internal and external head motions in the videos. The employed signal processing technique has resulted in a system that could significantly advance, among others, health-monitoring technologies.

OriginalsprogEngelsk
TitelImage Analysis : 20th Scandinavian Conference, SCIA 2017, Tromsø, Norway, June 12–14, 2017, Proceedings, Part II
Antal sider13
ForlagSpringer
Publikationsdato1 jan. 2017
Sider269-281
ISBN (Trykt)978-3-319-59128-5
ISBN (Elektronisk)978-3-319-59129-2
DOI
StatusUdgivet - 1 jan. 2017
Begivenhed20th Scandinavian Conference on Image Analysis, SCIA 2017 - Tromso, Norge
Varighed: 12 jun. 201714 jun. 2017

Konference

Konference20th Scandinavian Conference on Image Analysis, SCIA 2017
Land/OmrådeNorge
ByTromso
Periode12/06/201714/06/2017
NavnLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Vol/bind10270 LNCS
ISSN0302-9743

Fingeraftryk

Dyk ned i forskningsemnerne om 'Estimation of heartbeat peak locations and heartbeat rate from facial video'. Sammen danner de et unikt fingeraftryk.

Citationsformater