{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,6]],"date-time":"2026-08-06T17:50:47Z","timestamp":1786038647402,"version":"3.56.0"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62202248"],"award-info":[{"award-number":["62202248"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Human-Mach. Syst."],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1109\/thms.2022.3207755","type":"journal-article","created":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T20:15:28Z","timestamp":1665432928000},"page":"1236-1246","source":"Crossref","is-referenced-by-count":55,"title":["Assessment of Deep Learning-Based Heart Rate Estimation Using Remote Photoplethysmography Under Different Illuminations"],"prefix":"10.1109","volume":"52","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3956-8205","authenticated-orcid":false,"given":"Ze","family":"Yang","sequence":"first","affiliation":[{"name":"State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1199-9206","authenticated-orcid":false,"given":"Haofei","family":"Wang","sequence":"additional","affiliation":[{"name":"Peng Cheng Laboratory, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9064-7964","authenticated-orcid":false,"given":"Feng","family":"Lu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","first-page":"593","article-title":"Good features to track","author":"shi","year":"0","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref38","article-title":"A reproducible study on remote heart rate measurement","author":"heusch","year":"2017"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00213"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.3026481"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1177\/1357633X20916567"},{"key":"ref30","article-title":"Using blood volume pulse vector to extract rppg signal in infrared spectrum","author":"lin","year":"2014"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/T-AFFC.2011.25"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ROMAN.2014.6926392"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-20873-8_36"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2017.10.017"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1364\/OE.16.021434"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00185"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2010.2086456"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2016.2609282"},{"key":"ref13","article-title":"Robust and automatic remote photoplethysmography","author":"wang","year":"2017"},{"key":"ref14","article-title":"Adaptive gain tuning for robust remote pulse rate monitoring under changing light conditions","author":"papageorgiou","year":"2014"},{"key":"ref15","first-page":"405","article-title":"Measuring pulse rate with a webcam–a non-contact method for evaluating cardiac activity","author":"lewandowska","year":"0","journal-title":"Proc Federated Conf Comput Sci Inf Syst"},{"key":"ref16","article-title":"Remote photoplethysmograph signal measurement from facial videos using spatio-temporal networks","author":"yu","year":"0","journal-title":"Proc BMVC"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.382637"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2018.00043"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.440"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_18"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2013.2266196"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58583-9_24"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3345336.3345345"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2019.8857012"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.21037\/qims-20-1302"},{"key":"ref5","first-page":"349","article-title":"Deepphys: Video-based physiological measurement using convolutional attention networks","author":"chen","year":"0","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.543"},{"key":"ref7","first-page":"3","article-title":"Visual heart rate estimation with convolutional neural network","author":"\u0161petl\u00edk","year":"0","journal-title":"Proc Brit Mach Vis Conf"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2986234"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00024"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/BHI.2018.8333392"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-021-01466-8"},{"key":"ref20","first-page":"118","article-title":"Improved pulse detection from head motions using dct","volume":"3","author":"irani","year":"0","journal-title":"Proc Int Conf Comput Vis Theory Appl"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2014.2356291"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1088\/0967-3334\/28\/3\/R01"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.medengphy.2006.09.006"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.263"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2947204"},{"key":"ref41","first-page":"8026","article-title":"PyTorch: An imperative style, high-performance deep learning library","author":"paszke","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.415"},{"key":"ref44","first-page":"167","article-title":"Adaptive skin segmentation via feature-based face detection","volume":"9139","author":"taylor","year":"2014","journal-title":"Real-Time Image Video Process"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/2185520.2185561"},{"key":"ref43","first-page":"392","article-title":"Meta-rPPG: Remote heart rate estimation using a transductive meta-learner","author":"lee","year":"0","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2883866"}],"container-title":["IEEE Transactions on Human-Machine Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221037\/9950430\/09913818.pdf?arnumber=9913818","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,12]],"date-time":"2022-12-12T19:44:59Z","timestamp":1670874299000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9913818\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12]]},"references-count":46,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/thms.2022.3207755","relation":{},"ISSN":["2168-2291","2168-2305"],"issn-type":[{"value":"2168-2291","type":"print"},{"value":"2168-2305","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12]]}}}