Dedicated Exposure Control for Remote Photoplethysmography

This paper aims to show that control of exposure time during video capture will improve the accuracy of remote photoplethysmography (rPPG). We propose a purpose specific exposure control algorithm for use in heart rate estimation via rPPG applicable for any controllable camera. Our novel algorithm w...
Ausführliche Beschreibung

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Autor*in:	Jordan Laurie [verfasserIn] Niall Higgins [verfasserIn] Thierry Peynot [verfasserIn] Jonathan Roberts [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	Biomedical engineering biomedical monitoring computer vision

Übergeordnetes Werk:	In: IEEE Access - IEEE, 2014, 8(2020), Seite 116642-116652
Übergeordnetes Werk:	volume:8 ; year:2020 ; pages:116642-116652

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1109/ACCESS.2020.3003548

Katalog-ID:	DOAJ069541906

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allfields	10.1109/ACCESS.2020.3003548 doi (DE-627)DOAJ069541906 (DE-599)DOAJa7cfc3420fa24690a65be692014d8ee5 DE-627 ger DE-627 rakwb eng TK1-9971 Jordan Laurie verfasserin aut Dedicated Exposure Control for Remote Photoplethysmography 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper aims to show that control of exposure time during video capture will improve the accuracy of remote photoplethysmography (rPPG). We propose a purpose specific exposure control algorithm for use in heart rate estimation via rPPG applicable for any controllable camera. Our novel algorithm works by selecting exposure that acheives maximum Signal-to-Noise Ratio (SNR) before distortion will occur. We performed experiments to test the accuracy of non-contact PPG extracted simultaneously from two identical cameras positioned together but with different exposure time controls. Our purpose specific algorithm in camera A controlled exposure time to maximise rPPG SNR ratio while camera B remained set at one of a range of values. Exposure time set by our novel algorithm out-performed camera B with a lower mean absolute error relative to a standard pulse oximeter. A significant improvement to heart rate estimation performance using a research camera can be made with specific control of exposure time. The improvements in performance demonstrated here are an important step in taking rPPG out of a lab environment and into less controlled circumstances such clinical settings and emergency rescue scenarios. Biomedical engineering biomedical monitoring computer vision Electrical engineering. Electronics. Nuclear engineering Niall Higgins verfasserin aut Thierry Peynot verfasserin aut Jonathan Roberts verfasserin aut In IEEE Access IEEE, 2014 8(2020), Seite 116642-116652 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:8 year:2020 pages:116642-116652 https://doi.org/10.1109/ACCESS.2020.3003548 kostenfrei https://doaj.org/article/a7cfc3420fa24690a65be692014d8ee5 kostenfrei https://ieeexplore.ieee.org/document/9126180/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2020 116642-116652
spelling	10.1109/ACCESS.2020.3003548 doi (DE-627)DOAJ069541906 (DE-599)DOAJa7cfc3420fa24690a65be692014d8ee5 DE-627 ger DE-627 rakwb eng TK1-9971 Jordan Laurie verfasserin aut Dedicated Exposure Control for Remote Photoplethysmography 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper aims to show that control of exposure time during video capture will improve the accuracy of remote photoplethysmography (rPPG). We propose a purpose specific exposure control algorithm for use in heart rate estimation via rPPG applicable for any controllable camera. Our novel algorithm works by selecting exposure that acheives maximum Signal-to-Noise Ratio (SNR) before distortion will occur. We performed experiments to test the accuracy of non-contact PPG extracted simultaneously from two identical cameras positioned together but with different exposure time controls. Our purpose specific algorithm in camera A controlled exposure time to maximise rPPG SNR ratio while camera B remained set at one of a range of values. Exposure time set by our novel algorithm out-performed camera B with a lower mean absolute error relative to a standard pulse oximeter. A significant improvement to heart rate estimation performance using a research camera can be made with specific control of exposure time. The improvements in performance demonstrated here are an important step in taking rPPG out of a lab environment and into less controlled circumstances such clinical settings and emergency rescue scenarios. Biomedical engineering biomedical monitoring computer vision Electrical engineering. Electronics. Nuclear engineering Niall Higgins verfasserin aut Thierry Peynot verfasserin aut Jonathan Roberts verfasserin aut In IEEE Access IEEE, 2014 8(2020), Seite 116642-116652 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:8 year:2020 pages:116642-116652 https://doi.org/10.1109/ACCESS.2020.3003548 kostenfrei https://doaj.org/article/a7cfc3420fa24690a65be692014d8ee5 kostenfrei https://ieeexplore.ieee.org/document/9126180/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2020 116642-116652
allfields_unstemmed	10.1109/ACCESS.2020.3003548 doi (DE-627)DOAJ069541906 (DE-599)DOAJa7cfc3420fa24690a65be692014d8ee5 DE-627 ger DE-627 rakwb eng TK1-9971 Jordan Laurie verfasserin aut Dedicated Exposure Control for Remote Photoplethysmography 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper aims to show that control of exposure time during video capture will improve the accuracy of remote photoplethysmography (rPPG). We propose a purpose specific exposure control algorithm for use in heart rate estimation via rPPG applicable for any controllable camera. Our novel algorithm works by selecting exposure that acheives maximum Signal-to-Noise Ratio (SNR) before distortion will occur. We performed experiments to test the accuracy of non-contact PPG extracted simultaneously from two identical cameras positioned together but with different exposure time controls. Our purpose specific algorithm in camera A controlled exposure time to maximise rPPG SNR ratio while camera B remained set at one of a range of values. Exposure time set by our novel algorithm out-performed camera B with a lower mean absolute error relative to a standard pulse oximeter. A significant improvement to heart rate estimation performance using a research camera can be made with specific control of exposure time. The improvements in performance demonstrated here are an important step in taking rPPG out of a lab environment and into less controlled circumstances such clinical settings and emergency rescue scenarios. Biomedical engineering biomedical monitoring computer vision Electrical engineering. Electronics. Nuclear engineering Niall Higgins verfasserin aut Thierry Peynot verfasserin aut Jonathan Roberts verfasserin aut In IEEE Access IEEE, 2014 8(2020), Seite 116642-116652 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:8 year:2020 pages:116642-116652 https://doi.org/10.1109/ACCESS.2020.3003548 kostenfrei https://doaj.org/article/a7cfc3420fa24690a65be692014d8ee5 kostenfrei https://ieeexplore.ieee.org/document/9126180/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2020 116642-116652
allfieldsGer	10.1109/ACCESS.2020.3003548 doi (DE-627)DOAJ069541906 (DE-599)DOAJa7cfc3420fa24690a65be692014d8ee5 DE-627 ger DE-627 rakwb eng TK1-9971 Jordan Laurie verfasserin aut Dedicated Exposure Control for Remote Photoplethysmography 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper aims to show that control of exposure time during video capture will improve the accuracy of remote photoplethysmography (rPPG). We propose a purpose specific exposure control algorithm for use in heart rate estimation via rPPG applicable for any controllable camera. Our novel algorithm works by selecting exposure that acheives maximum Signal-to-Noise Ratio (SNR) before distortion will occur. We performed experiments to test the accuracy of non-contact PPG extracted simultaneously from two identical cameras positioned together but with different exposure time controls. Our purpose specific algorithm in camera A controlled exposure time to maximise rPPG SNR ratio while camera B remained set at one of a range of values. Exposure time set by our novel algorithm out-performed camera B with a lower mean absolute error relative to a standard pulse oximeter. A significant improvement to heart rate estimation performance using a research camera can be made with specific control of exposure time. The improvements in performance demonstrated here are an important step in taking rPPG out of a lab environment and into less controlled circumstances such clinical settings and emergency rescue scenarios. Biomedical engineering biomedical monitoring computer vision Electrical engineering. Electronics. Nuclear engineering Niall Higgins verfasserin aut Thierry Peynot verfasserin aut Jonathan Roberts verfasserin aut In IEEE Access IEEE, 2014 8(2020), Seite 116642-116652 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:8 year:2020 pages:116642-116652 https://doi.org/10.1109/ACCESS.2020.3003548 kostenfrei https://doaj.org/article/a7cfc3420fa24690a65be692014d8ee5 kostenfrei https://ieeexplore.ieee.org/document/9126180/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2020 116642-116652
allfieldsSound	10.1109/ACCESS.2020.3003548 doi (DE-627)DOAJ069541906 (DE-599)DOAJa7cfc3420fa24690a65be692014d8ee5 DE-627 ger DE-627 rakwb eng TK1-9971 Jordan Laurie verfasserin aut Dedicated Exposure Control for Remote Photoplethysmography 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper aims to show that control of exposure time during video capture will improve the accuracy of remote photoplethysmography (rPPG). We propose a purpose specific exposure control algorithm for use in heart rate estimation via rPPG applicable for any controllable camera. Our novel algorithm works by selecting exposure that acheives maximum Signal-to-Noise Ratio (SNR) before distortion will occur. We performed experiments to test the accuracy of non-contact PPG extracted simultaneously from two identical cameras positioned together but with different exposure time controls. Our purpose specific algorithm in camera A controlled exposure time to maximise rPPG SNR ratio while camera B remained set at one of a range of values. Exposure time set by our novel algorithm out-performed camera B with a lower mean absolute error relative to a standard pulse oximeter. A significant improvement to heart rate estimation performance using a research camera can be made with specific control of exposure time. The improvements in performance demonstrated here are an important step in taking rPPG out of a lab environment and into less controlled circumstances such clinical settings and emergency rescue scenarios. Biomedical engineering biomedical monitoring computer vision Electrical engineering. Electronics. Nuclear engineering Niall Higgins verfasserin aut Thierry Peynot verfasserin aut Jonathan Roberts verfasserin aut In IEEE Access IEEE, 2014 8(2020), Seite 116642-116652 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:8 year:2020 pages:116642-116652 https://doi.org/10.1109/ACCESS.2020.3003548 kostenfrei https://doaj.org/article/a7cfc3420fa24690a65be692014d8ee5 kostenfrei https://ieeexplore.ieee.org/document/9126180/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2020 116642-116652
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source	In IEEE Access 8(2020), Seite 116642-116652 volume:8 year:2020 pages:116642-116652
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authorswithroles_txt_mv	Jordan Laurie @@aut@@ Niall Higgins @@aut@@ Thierry Peynot @@aut@@ Jonathan Roberts @@aut@@
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callnumber-first	T - Technology
author	Jordan Laurie
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topic_title	TK1-9971 Dedicated Exposure Control for Remote Photoplethysmography Biomedical engineering biomedical monitoring computer vision
topic	misc TK1-9971 misc Biomedical engineering misc biomedical monitoring misc computer vision misc Electrical engineering. Electronics. Nuclear engineering
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title	Dedicated Exposure Control for Remote Photoplethysmography
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title_auth	Dedicated Exposure Control for Remote Photoplethysmography
abstract	This paper aims to show that control of exposure time during video capture will improve the accuracy of remote photoplethysmography (rPPG). We propose a purpose specific exposure control algorithm for use in heart rate estimation via rPPG applicable for any controllable camera. Our novel algorithm works by selecting exposure that acheives maximum Signal-to-Noise Ratio (SNR) before distortion will occur. We performed experiments to test the accuracy of non-contact PPG extracted simultaneously from two identical cameras positioned together but with different exposure time controls. Our purpose specific algorithm in camera A controlled exposure time to maximise rPPG SNR ratio while camera B remained set at one of a range of values. Exposure time set by our novel algorithm out-performed camera B with a lower mean absolute error relative to a standard pulse oximeter. A significant improvement to heart rate estimation performance using a research camera can be made with specific control of exposure time. The improvements in performance demonstrated here are an important step in taking rPPG out of a lab environment and into less controlled circumstances such clinical settings and emergency rescue scenarios.
abstractGer	This paper aims to show that control of exposure time during video capture will improve the accuracy of remote photoplethysmography (rPPG). We propose a purpose specific exposure control algorithm for use in heart rate estimation via rPPG applicable for any controllable camera. Our novel algorithm works by selecting exposure that acheives maximum Signal-to-Noise Ratio (SNR) before distortion will occur. We performed experiments to test the accuracy of non-contact PPG extracted simultaneously from two identical cameras positioned together but with different exposure time controls. Our purpose specific algorithm in camera A controlled exposure time to maximise rPPG SNR ratio while camera B remained set at one of a range of values. Exposure time set by our novel algorithm out-performed camera B with a lower mean absolute error relative to a standard pulse oximeter. A significant improvement to heart rate estimation performance using a research camera can be made with specific control of exposure time. The improvements in performance demonstrated here are an important step in taking rPPG out of a lab environment and into less controlled circumstances such clinical settings and emergency rescue scenarios.
abstract_unstemmed	This paper aims to show that control of exposure time during video capture will improve the accuracy of remote photoplethysmography (rPPG). We propose a purpose specific exposure control algorithm for use in heart rate estimation via rPPG applicable for any controllable camera. Our novel algorithm works by selecting exposure that acheives maximum Signal-to-Noise Ratio (SNR) before distortion will occur. We performed experiments to test the accuracy of non-contact PPG extracted simultaneously from two identical cameras positioned together but with different exposure time controls. Our purpose specific algorithm in camera A controlled exposure time to maximise rPPG SNR ratio while camera B remained set at one of a range of values. Exposure time set by our novel algorithm out-performed camera B with a lower mean absolute error relative to a standard pulse oximeter. A significant improvement to heart rate estimation performance using a research camera can be made with specific control of exposure time. The improvements in performance demonstrated here are an important step in taking rPPG out of a lab environment and into less controlled circumstances such clinical settings and emergency rescue scenarios.
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title_short	Dedicated Exposure Control for Remote Photoplethysmography
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