{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,17]],"date-time":"2026-02-17T05:12:42Z","timestamp":1771305162703,"version":"3.50.1"},"reference-count":36,"publisher":"Springer Science and Business Media LLC","issue":"39","license":[{"start":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T00:00:00Z","timestamp":1719792000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T00:00:00Z","timestamp":1719792000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"National Key Research and  Development Program of China","award":["2018YFC1407505"],"award-info":[{"award-number":["2018YFC1407505"]}]},{"name":"Hainan  Provincial Natural Science Foundation of China","award":["2019RC080"],"award-info":[{"award-number":["2019RC080"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81971692"],"award-info":[{"award-number":["81971692"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"the scientific research fund of Hainan University","award":["KYQD1653"],"award-info":[{"award-number":["KYQD1653"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"DOI":"10.1007\/s11042-024-19697-5","type":"journal-article","created":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T19:02:15Z","timestamp":1719860535000},"page":"86741-86755","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Adaptive plane orthogonal to skin-tone vector for non-contact pulse rate monitoring in motion scenarios"],"prefix":"10.1007","volume":"83","author":[{"given":"Qing","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xingsen","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuxin","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaomei","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fuhong","family":"Cai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,7,1]]},"reference":[{"issue":"8","key":"19697_CR1","doi-asserted-by":"publisher","first-page":"853","DOI":"10.1016\/j.medengphy.2006.09.006","volume":"29","author":"C Takano","year":"2007","unstructured":"Takano C, Ohta Y (2007) Heart rate measurement based on a time-lapse image. Med Eng Phys 29(8):853\u20137. https:\/\/doi.org\/10.1016\/j.medengphy.2006.09.006","journal-title":"Med Eng Phys"},{"issue":"3","key":"19697_CR2","doi-asserted-by":"publisher","first-page":"463","DOI":"10.1109\/TBME.2015.2476337","volume":"63","author":"Y Sun","year":"2016","unstructured":"Sun Y, Thakor N (2016) Photoplethysmography Revisited: From Contact to Noncontact, From Point to Imaging. IEEE Trans Biomed Eng 63(3):463\u2013477. https:\/\/doi.org\/10.1109\/TBME.2015.2476337","journal-title":"IEEE Trans Biomed Eng"},{"key":"19697_CR3","doi-asserted-by":"publisher","first-page":"6398","DOI":"10.1109\/EMBC.2015.7319857","volume":"2015","author":"DJ McDuff","year":"2015","unstructured":"McDuff DJ, Estepp JR, Piasecki AM, Blackford EB (2015) \u201cA survey of remote optical photoplethysmographic imaging methods,\u201d Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Ann Int Confer 2015:6398\u2013404. https:\/\/doi.org\/10.1109\/EMBC.2015.7319857","journal-title":"Ann Int Confer"},{"issue":"26","key":"19697_CR4","doi-asserted-by":"publisher","first-page":"21434","DOI":"10.1364\/OE.16.021434","volume":"16","author":"W Verkruysse","year":"2008","unstructured":"Verkruysse W, Svaasand LO, Nelson JS (2008) Remote plethysmographic imaging using ambient light. Opt Expr 16(26):21434\u201345. https:\/\/doi.org\/10.1364\/OE.16.021434","journal-title":"Opt Expr"},{"key":"19697_CR5","doi-asserted-by":"publisher","first-page":"2885","DOI":"10.1109\/ACCESS.2022.3144127","volume":"10","author":"TP Pagano","year":"2022","unstructured":"Pagano TP, Oliveira GHC, Andre\u00e3o RV, Loureiro AAF, Marana CA (2022) Machine learning models and videos of facial regions for estimating heart rate: a review on patents, datasets, and literature. IEEE Access 10:2885\u20132911. https:\/\/doi.org\/10.1109\/ACCESS.2022.3144127","journal-title":"IEEE Access"},{"key":"19697_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TIM.2023.3287243","volume":"72","author":"M Das","year":"2023","unstructured":"Das M, Bhuyan MK, Sharma LN (2023) Time\u2013frequency learning framework for rppg signal estimation using scalogram-based feature map of facial video data. IEEE Trans Instrum Meas 72:1\u201310. https:\/\/doi.org\/10.1109\/TIM.2023.3287243","journal-title":"IEEE Trans Instrum Meas"},{"key":"19697_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TIM.2023.3317379","volume":"72","author":"R Song","year":"2023","unstructured":"Song R, Wang H, Xia H, Cheng J, Li C, Chen X (2023) Uncertainty quantification for deep learning-based remote photoplethysmography. IEEE Trans Instrum Meas 72:1\u201312. https:\/\/doi.org\/10.1109\/TIM.2023.3317379","journal-title":"IEEE Trans Instrum Meas"},{"issue":"11","key":"19697_CR8","doi-asserted-by":"publisher","first-page":"13844","DOI":"10.1109\/TPAMI.2023.3298650","volume":"45","author":"Z Yue","year":"2023","unstructured":"Yue Z, Shi M, Ding S (2023) Facial video-based remote physiological measurement via self-supervised learning. IEEE Trans Pattern Anal Mach Intell 45(11):13844\u201313859. https:\/\/doi.org\/10.1109\/TPAMI.2023.3298650","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"13","key":"19697_CR9","doi-asserted-by":"publisher","first-page":"15199","DOI":"10.1109\/JSEN.2023.3280168","volume":"23","author":"H Kuang","year":"2023","unstructured":"Kuang H, Ao C, Ma X, Liu X (2023) Shuffle-rPPGNet: efficient network with global context for remote heart rate variability measurement. IEEE Sens J 23(13):15199\u201315209. https:\/\/doi.org\/10.1109\/JSEN.2023.3280168","journal-title":"IEEE Sens J"},{"issue":"11","key":"19697_CR10","doi-asserted-by":"publisher","first-page":"5530","DOI":"10.1109\/JBHI.2023.3307942","volume":"27","author":"C\u00c1 Casado","year":"2023","unstructured":"Casado C\u00c1, L\u00f3pez MB (2023) Face2PPG: an unsupervised pipeline for blood volume pulse extraction from faces. IEEE J Biomed Health Inform 27(11):5530\u20135541. https:\/\/doi.org\/10.1109\/JBHI.2023.3307942","journal-title":"IEEE J Biomed Health Inform"},{"key":"19697_CR11","doi-asserted-by":"publisher","first-page":"1042","DOI":"10.1109\/LSP.2023.3302697","volume":"30","author":"X Zhang","year":"2023","unstructured":"Zhang X, Xia Z, Liu L, Feng X (2023) Demodulation Based Transformer for rPPG Generation and Heart Rate Estimation. IEEE Signal Process Lett 30:1042\u20131046. https:\/\/doi.org\/10.1109\/LSP.2023.3302697","journal-title":"IEEE Signal Process Lett"},{"key":"19697_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TIM.2023.3271760","volume":"72","author":"M Xu","year":"2023","unstructured":"Xu M, Zeng G, Song Y, Cao Y, Liu Z, He X (2023) Ivrr-PPG: an illumination variation robust remote-ppg algorithm for monitoring heart rate of drivers. IEEE Trans Instrum Meas 72:1\u201310. https:\/\/doi.org\/10.1109\/TIM.2023.3271760","journal-title":"IEEE Trans Instrum Meas"},{"key":"19697_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TIM.2023.3264041","volume":"72","author":"C Lian","year":"2023","unstructured":"Lian C et al (2023) Robust and remote photoplethysmography based on smartphone imaging of the human palm. IEEE Trans Instrum Meas 72:1\u201311. https:\/\/doi.org\/10.1109\/TIM.2023.3264041","journal-title":"IEEE Trans Instrum Meas"},{"issue":"6","key":"19697_CR14","doi-asserted-by":"publisher","first-page":"1236","DOI":"10.1109\/THMS.2022.3207755","volume":"52","author":"Z Yang","year":"2022","unstructured":"Yang Z, Wang H, Lu F (2022) Assessment of deep learning-based heart rate estimation using remote photoplethysmography under different illuminations. IEEE Trans Human-Mach Syst 52(6):1236\u20131246. https:\/\/doi.org\/10.1109\/THMS.2022.3207755","journal-title":"IEEE Trans Human-Mach Syst"},{"issue":"5","key":"19697_CR15","doi-asserted-by":"publisher","first-page":"1565","DOI":"10.1155\/2021\/9995871","volume":"6","author":"B Zhang","year":"2015","unstructured":"Zhang B, Li H, Xu L (2015) Noncontact heart rate measurement using a webcam, based on joint blind source separation and a skin reflection model: for a wide range of imaging conditions. J Sens 6(5):1565. https:\/\/doi.org\/10.1155\/2021\/9995871","journal-title":"J Sens"},{"issue":"5","key":"19697_CR16","doi-asserted-by":"publisher","first-page":"1565","DOI":"10.1364\/BOE.6.001565","volume":"6","author":"M Kumar","year":"2015","unstructured":"Kumar M, Veeraraghavan A, Sabharwal A (2015) DistancePPG: robust non-contact vital signs monitoring using a camera. Biomed Opt Express 6(5):1565\u20131588. https:\/\/doi.org\/10.1364\/BOE.6.001565","journal-title":"Biomed Opt Express"},{"key":"19697_CR17","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1016\/j.patrec.2017.10.017","volume":"124","author":"S Bobbia","year":"2019","unstructured":"Bobbia S, Macwan R, Benezeth Y, Mansouri A, Dubois J (2019) Unsupervised skin tissue segmentation for remote photoplethysmography. Pattern Recogn Lett 124:82\u201390. https:\/\/doi.org\/10.1016\/j.patrec.2017.10.017","journal-title":"Pattern Recogn Lett"},{"issue":"6","key":"19697_CR18","doi-asserted-by":"publisher","first-page":"6503","DOI":"10.1049\/el.2013.2737","volume":"77","author":"L-M Po","year":"2018","unstructured":"Po L-M, Feng L, Li Y, Xu X, Cheung TC-H, Cheung K-W (2018) Block-based adaptive ROI for remote photoplethysmography. Multimed Tools Appl 77(6):6503\u20136529. https:\/\/doi.org\/10.1049\/el.2013.2737","journal-title":"Multimed Tools Appl"},{"issue":"10","key":"19697_CR19","doi-asserted-by":"publisher","first-page":"10762","DOI":"10.1364\/OE.18.010762","volume":"18","author":"M-Z Poh","year":"2010","unstructured":"Poh M-Z, McDuff DJ, Picard RW (2010) Non-contact, automated cardiac pulse measurements using video imaging and blind source separation. Opt Express 18(10):10762\u201310774. https:\/\/doi.org\/10.1364\/OE.18.010762","journal-title":"Opt Express"},{"issue":"2","key":"19697_CR20","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1109\/TBME.2014.2356291","volume":"62","author":"W Wang","year":"2015","unstructured":"Wang W, Stuijk S, de Haan G (2015) Exploiting Spatial Redundancy of Image Sensor for Motion Robust rPPG. IEEE Trans Biomed Eng 62(2):415\u2013425. https:\/\/doi.org\/10.1109\/TBME.2014.2356291","journal-title":"IEEE Trans Biomed Eng"},{"key":"19697_CR21","first-page":"27","volume-title":"International Conference on Intelligent Human Computer Interaction","author":"K Lee","year":"2020","unstructured":"Lee K, Jin K, Kim Y, Lee JH, Lee EC (2020) A comparative analysis on the impact of face tracker and skin segmentation onto improving the performance of real-time remote photoplethysmography. International Conference on Intelligent Human Computer Interaction. Springer, pp 27\u201337"},{"key":"19697_CR22","doi-asserted-by":"crossref","unstructured":"Feng L, Po LM, Xu X, Li Y, Cheung CH, Cheung KW, Yuan F (2015) Dynamic ROI based on K-means for remote photoplethysmography. In:\u00a02015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) IEEE pp 1310\u20131314","DOI":"10.1109\/ICASSP.2015.7178182"},{"key":"19697_CR23","unstructured":"Lewandowska M, Ruminski J, Kocejko T, Nowak J (2011) Measuring pulse rate with a webcam\u2014a non-contact method for evaluating cardiac activity. In:\u00a0Proceedings Federated Conference on Computer Science and Information Systems-FedCSIS 2011, Szczecin, Poland, 18-21 September 2011. IEEE"},{"issue":"10","key":"19697_CR24","doi-asserted-by":"publisher","first-page":"2878","DOI":"10.1109\/TBME.2013.2266196","volume":"60","author":"G de Haan","year":"2013","unstructured":"de Haan G, Jeanne V (2013) Robust pulse rate from chrominance-based rPPG. IEEE Trans Biomed Eng 60(10):2878\u20132886. https:\/\/doi.org\/10.1109\/TBME.2013.2266196","journal-title":"IEEE Trans Biomed Eng"},{"issue":"7","key":"19697_CR25","doi-asserted-by":"publisher","first-page":"1479","DOI":"10.1109\/TBME.2016.2609282","volume":"64","author":"W Wang","year":"2017","unstructured":"Wang W, den Brinker AC, Stuijk S, de Haan G (2017) Algorithmic principles of remote PPG. IEEE Trans Biomed Eng 64(7):1479\u20131491. https:\/\/doi.org\/10.1109\/TBME.2016.2609282","journal-title":"IEEE Trans Biomed Eng"},{"issue":"8","key":"19697_CR26","doi-asserted-by":"publisher","first-page":"2852","DOI":"10.3390\/s21082852","volume":"21","author":"PN Srinivasu","year":"2021","unstructured":"Srinivasu PN, Sivasai JG, Ijaz MF (2021) Classification of Skin Disease Using Deep Learning Neural Networks with MobileNet V2 and LSTM. Sensors 21(8):2852. https:\/\/doi.org\/10.3390\/s21082852","journal-title":"Sensors"},{"key":"19697_CR27","doi-asserted-by":"publisher","first-page":"2409","DOI":"10.1109\/TIP.2019.2947204","volume":"29","author":"X Niu","year":"2020","unstructured":"Niu X, Shan S, Han H, Chen X (2020) RhythmNet: End-to-End Heart Rate Estimation From Face via Spatial-Temporal Representation. IEEE Trans Image Process 29:2409\u20132423. https:\/\/doi.org\/10.1109\/TIP.2019.2947204","journal-title":"IEEE Trans Image Process"},{"key":"19697_CR28","doi-asserted-by":"publisher","first-page":"562","DOI":"10.1007\/978-3-030-20873-8_36","volume":"11365","author":"X Niu","year":"2019","unstructured":"Niu X, Han H, Shan S, Chen X (2019) VIPL-HR: A Multi-modal Database for Pulse Estimation from Less-Constrained Face Video. Computer Vision \u2013 Accv 2018 11365:562\u2013576. https:\/\/doi.org\/10.1007\/978-3-030-20873-8_36","journal-title":"Computer Vision \u2013 Accv 2018"},{"key":"19697_CR29","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2017.10.017","author":"S Bobbia","year":"2017","unstructured":"Bobbia S, Macwan R, Benezeth Y, Mansouri A, Dubois J (2017) Unsupervised skin tissue segmentation for remote photoplethysmography. Pattern Recogn Lett. https:\/\/doi.org\/10.1016\/j.patrec.2017.10.017","journal-title":"Pattern Recogn Lett"},{"issue":"9","key":"19697_CR30","doi-asserted-by":"publisher","first-page":"1913","DOI":"10.1088\/0967-3334\/35\/9\/1913","volume":"35","author":"G de Haan","year":"2014","unstructured":"de Haan G, van Leest A (2014) Improved motion robustness of remote-PPG by using the blood volume pulse signature. Physiol Meas 35(9):1913\u20131926. https:\/\/doi.org\/10.1088\/0967-3334\/35\/9\/1913","journal-title":"Physiol Meas"},{"key":"19697_CR31","doi-asserted-by":"publisher","unstructured":"Pilz CS, Zaunseder S, Krajewski J, Blazek V (2018) \"Local Group Invariance for Heart Rate Estimation from Face Videos in the Wild,\" Proceedings 2018 IEEE\/Cvf Conference on Computer Vision and Pattern Recognition Workshops (Cvprw), pp 1335\u20131343. https:\/\/doi.org\/10.1109\/CVPRW.2018.00172","DOI":"10.1109\/CVPRW.2018.00172"},{"key":"19697_CR32","doi-asserted-by":"publisher","first-page":"216083","DOI":"10.1109\/ACCESS.2020.3040936","volume":"8","author":"G Boccignone","year":"2020","unstructured":"Boccignone G, Conte D, Cuculo V, D\u2019Amelio A, Grossi G, Lanzarotti R (2020) An Open Framework for remote-PPG Methods and Their Assessment. Ieee Access 8:216083\u2013216103. https:\/\/doi.org\/10.1109\/ACCESS.2020.3040936","journal-title":"Ieee Access"},{"issue":"19","key":"19697_CR33","doi-asserted-by":"publisher","first-page":"23629","DOI":"10.1109\/JSEN.2023.3308394","volume":"23","author":"Y Li","year":"2023","unstructured":"Li Y, Shen F, Hu L et al (2023) A Stare-Down Video-Rate High-Throughput Hyperspectral Imaging System and Its Applications in Biological Sample Sensing. IEEE Sens J 23(19):23629\u201323637. https:\/\/doi.org\/10.1109\/JSEN.2023.3308394","journal-title":"IEEE Sens J"},{"issue":"6","key":"19697_CR34","doi-asserted-by":"publisher","first-page":"2024","DOI":"10.3390\/s24061833","volume":"24","author":"Y Li","year":"1833","unstructured":"Li Y, Fu Y, Lang Z et al (1833) A High-Frequency and Real-Time Ground Remote Sensing System for Obtaining Water Quality Based on a Micro Hyper-Spectrometer. Sensors 24(6):2024. https:\/\/doi.org\/10.3390\/s24061833","journal-title":"Sensors"},{"issue":"040502","key":"19697_CR35","doi-asserted-by":"publisher","first-page":"040502","DOI":"10.1117\/1.JBO.17.4.040502","volume":"17","author":"F Cai","year":"2012","unstructured":"Cai F, He S (2012) Using Graphics Processing Units to Accelerate Perturbation Monte Carlo Simulation in a Turbid Medium. J Biomed Opt 17(040502):040502\u2013040502. https:\/\/doi.org\/10.1117\/1.JBO.17.4.040502","journal-title":"J Biomed Opt"},{"key":"19697_CR36","doi-asserted-by":"publisher","unstructured":"Chen LC, Zhu Y, Papandreou G et al (2018) Encoder-decoder with atrous separable convolution for semantic image segmentation[C]. European Conference on Computer Vision. Springer, Cham. https:\/\/doi.org\/10.1007\/978-3-030-01234-2_49","DOI":"10.1007\/978-3-030-01234-2_49"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-024-19697-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-024-19697-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-024-19697-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,19]],"date-time":"2024-11-19T13:18:22Z","timestamp":1732022302000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-024-19697-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,1]]},"references-count":36,"journal-issue":{"issue":"39","published-online":{"date-parts":[[2024,11]]}},"alternative-id":["19697"],"URL":"https:\/\/doi.org\/10.1007\/s11042-024-19697-5","relation":{},"ISSN":["1573-7721"],"issn-type":[{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,7,1]]},"assertion":[{"value":"9 January 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 May 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 June 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 July 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}