Comparative Analysis of Face ROI Outline Algorithms for Contactless Heart Rate Measurement Under Different Registration Conditions

Comparative Analysis of Face ROI Outline Algorithms for Contactless Heart Rate Measurement Under Different Registration Conditions

Contactless heart rate measurement techniques can be applied in medical and biometrical tasks such as vital signs measurement and vitality detection. Incorrect measurement result can cause serious consequences. The paper presents the results of experimental studies aimed at comparing algorithms for...

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Bibliographic Details
Main Authors: Semchuk Ivan, Zlobin Konstantin, Muravskaya Natalia, Samorodov Andrey
Format: Article
Language:English
Published: FRUCT 2020-09-01
Series:Proceedings of the XXth Conference of Open Innovations Association FRUCT
Subjects:
videoplethysmography
heart rate measurements
face image processing
Online Access:https://www.fruct.org/publications/acm27/files/Sem.pdf
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spelling doaj-7480133cceef4394a405354d17909eb52020-11-25T03:59:24ZengFRUCTProceedings of the XXth Conference of Open Innovations Association FRUCT2305-72542343-07372020-09-0127236236510.5281/zenodo.4026506Comparative Analysis of Face ROI Outline Algorithms for Contactless Heart Rate Measurement Under Different Registration ConditionsSemchuk Ivan0Zlobin Konstantin1Muravskaya Natalia2Samorodov Andrey3Bauman Moscow State Technical University, RussiaBauman Moscow State Technical University, RussiaBauman Moscow State Technical University, RussiaBauman Moscow State Technical University, RussiaContactless heart rate measurement techniques can be applied in medical and biometrical tasks such as vital signs measurement and vitality detection. Incorrect measurement result can cause serious consequences. The paper presents the results of experimental studies aimed at comparing algorithms for face images processing for contactless heart rate measurement using video analysis. Algorithms based on color segmentation and facial landmarks are performed. A method for evaluating the effectiveness of algorithms and data acquisition process are described. The least heart rate measurement error is shown by algorithm based on a grid with the nodes at facial landmarks formation and independent signal calculation for each grid sector.https://www.fruct.org/publications/acm27/files/Sem.pdfvideoplethysmographyheart rate measurementsface image processing
collection DOAJ
language English
format Article
sources DOAJ
author Semchuk Ivan
Zlobin Konstantin
Muravskaya Natalia
Samorodov Andrey
spellingShingle Semchuk Ivan
Zlobin Konstantin
Muravskaya Natalia
Samorodov Andrey
Comparative Analysis of Face ROI Outline Algorithms for Contactless Heart Rate Measurement Under Different Registration Conditions
Proceedings of the XXth Conference of Open Innovations Association FRUCT
videoplethysmography
heart rate measurements
face image processing
author_facet Semchuk Ivan
Zlobin Konstantin
Muravskaya Natalia
Samorodov Andrey
author_sort Semchuk Ivan
title Comparative Analysis of Face ROI Outline Algorithms for Contactless Heart Rate Measurement Under Different Registration Conditions
title_short Comparative Analysis of Face ROI Outline Algorithms for Contactless Heart Rate Measurement Under Different Registration Conditions
title_full Comparative Analysis of Face ROI Outline Algorithms for Contactless Heart Rate Measurement Under Different Registration Conditions
title_fullStr Comparative Analysis of Face ROI Outline Algorithms for Contactless Heart Rate Measurement Under Different Registration Conditions
title_full_unstemmed Comparative Analysis of Face ROI Outline Algorithms for Contactless Heart Rate Measurement Under Different Registration Conditions
title_sort comparative analysis of face roi outline algorithms for contactless heart rate measurement under different registration conditions
publisher FRUCT
series Proceedings of the XXth Conference of Open Innovations Association FRUCT
issn 2305-7254
2343-0737
publishDate 2020-09-01
description Contactless heart rate measurement techniques can be applied in medical and biometrical tasks such as vital signs measurement and vitality detection. Incorrect measurement result can cause serious consequences. The paper presents the results of experimental studies aimed at comparing algorithms for face images processing for contactless heart rate measurement using video analysis. Algorithms based on color segmentation and facial landmarks are performed. A method for evaluating the effectiveness of algorithms and data acquisition process are described. The least heart rate measurement error is shown by algorithm based on a grid with the nodes at facial landmarks formation and independent signal calculation for each grid sector.
topic videoplethysmography
heart rate measurements
face image processing
url https://www.fruct.org/publications/acm27/files/Sem.pdf
work_keys_str_mv AT semchukivan comparativeanalysisoffaceroioutlinealgorithmsforcontactlessheartratemeasurementunderdifferentregistrationconditions
AT zlobinkonstantin comparativeanalysisoffaceroioutlinealgorithmsforcontactlessheartratemeasurementunderdifferentregistrationconditions
AT muravskayanatalia comparativeanalysisoffaceroioutlinealgorithmsforcontactlessheartratemeasurementunderdifferentregistrationconditions
AT samorodovandrey comparativeanalysisoffaceroioutlinealgorithmsforcontactlessheartratemeasurementunderdifferentregistrationconditions
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