Remote PPG based vital sign measurement using adaptive facial regions
Abstract
This paper proposes a remote photoplethysmography measurement technique where human skin color variations are analysed for observing human vital signs including but not limited to average heart rate and variation. Remote monitoring of the vital signs could be useful for non-contact physiological and psychological diagnosis. For this purpose, an off-the-self non-invasive video camera is used. Facial appearance modelling is performed for stabilizing color variations in the selected facial region during the signal acquisition stage. The proposed method offers a novel signal processing approach for extracting the periodic component of the raw color signal for the heart rate and variation estimation. To this end, we have collected a ground truth dataset using a PPG instrument attached to the skin of the subject under observation. Objective performance tests show strong correlation with the ground truth values for the estimated heart rate and variation.
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As the sensor directly depends on reflectance properties of the skin tissue, different skin colors may change the overall signal quality of the recorded PPG data.
“As the sensor directly depends on reflectance properties of the skin tissue, different skin colors may change the overall signal quality of the recorded PPG data49,50.”
From Data quality evaluation in wearable monitoring (2022) · cites this paper as [49]
Cites
Robust real-time object detection.
Viola, P. A. (2001) · Cited by 2,340 · see citing works
Remote plethysmographic imaging using ambient light
Verkruysse, W., Svaasand, L. O., & Nelson, J. S. (2008) · Optics Express · doi:10.1364/oe.16.021434 · Cited by 1,728 · see citing works
Non-contact, automated cardiac pulse measurements using video imaging and blind source separation
Poh, M., McDuff, D., & Picard, R. W. (2010) · Optics Express · doi:10.1364/oe.18.010762 · Cited by 1,652 · see citing works
Eulerian video magnification for revealing subtle changes in the world
Wu, H., Rubinstein, M., Shih, E. I., Guttag, J. V., Durand, F., & Freeman, W. T. (2012) · ACM Transactions on Graphics · doi:10.1145/2185520.2185561 · Cited by 1,365 · see citing works
An advanced detrending method with application to HRV analysis
Tarvainen, M. P., Ranta-aho, P. O., & Karjalainen, P. A. (2002) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.979357 · Cited by 1,135 · see citing works
Robust real-time face detection
Viola, P., & Jones, M. (2005) · Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001 · doi:10.1109/iccv.2001.937709 · Cited by 898 · see citing works
Detecting Pulse from Head Motions in Video
Balakrishnan, G., Durand, F., & Guttag, J. V. (2013) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2013.440 · Cited by 572 · see citing works
Interpreting face images using active appearance models
Edwards, G. J., Taylor, C., & Cootes, T. F. (2002) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/afgr.1998.670965 · Cited by 489 · see citing works
Physiological parameter monitoring from optical recordings with a mobile phone
Scully, C. G., Lee, J., Meyer, J., Gorbach, A. M., Granquist-Fraser, D., Mendelson, Y., & Chon, K. H. (2012) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2011.2163157 · Cited by 452 · see citing works
Measuring pulse rate with a webcam — A non-contact method for evaluating cardiac activity
Lewandowska, M., Rumiński, J., Kocejko, T., & Nowak, J. (2011) · Cited by 420 · see citing works
Contact-Free Measurement of Cardiac Pulse Based on the Analysis of Thermal Imagery
Garbey, M., Sun, N., Merla, A., & Pavlidis, I. T. (2007) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2007.891930 · Cited by 402 · see citing works
Heart rate measurement based on a time-lapse image.
Takano, C., & Ohta, Y. (2007) · Medical Engineering & Physics · doi:10.1016/j.medengphy.2006.09.006 · Cited by 345 · see citing works
Eulerian video magnification for revealing subtle changes in the world
Wu, H., Rubinstein, M., Shih, E. I., et al. (2012) · ACM Transactions on Graphics · doi:10.1145/2185520.2335416 · Cited by 252 · see citing works
The r FaceReader: Online facial expression recognition.
y l, D. U. (2005) · Cited by 114 · see citing works
Feasibility of Imaging Photoplethysmography
Zheng, J., Hu, S., Chouliaras, V. A., & Summers, R. (2008) · International Conference on Biomedical Engineering and Informatics (BMEI) · doi:10.1109/bmei.2008.365 · Cited by 84 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Unsupervised skin tissue segmentation for remote photoplethysmography
Bobbia, S., Macwan, R., Benezeth, Y., Mansouri, A., & Dubois, J. (2017) · Pattern Recognition Letters · doi:10.1016/j.patrec.2017.10.017 · Cited by 619 · see citing works
Tulyakov, S., Alameda-Pineda, X., Ricci, E., Yin, L., Cohn, J. F., & Sebe, N. (2016) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2016.263 · Cited by 351 · see citing works
A survey of remote optical photoplethysmographic imaging methods
McDuff, D., Estepp, J. R., Piasecki, A. M., & Blackford, E. B. (2015) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2015.7319857 · Cited by 212 · see citing works
Remote heart rate measurement using low-cost RGB face video: a technical literature review
Rouast, P. V., Adam, M., Chiong, R., Cornforth, D., & Lux, E. (2018) · Frontiers of Computer Science · doi:10.1007/s11704-016-6243-6 · Cited by 188 · see citing works
Camera Measurement of Physiological Vital Signs
McDuff, D. (2022) · ACM Computing Surveys · doi:10.1145/3558518 · Cited by 167 · see citing works
Cardiovascular assessment by imaging photoplethysmography – a review
Zaunseder, S., Trumpp, A., Wedekind, D., & Malberg, H. (2018) · Biomedizinische Technik/Biomedical Engineering · doi:10.1515/bmt-2017-0119 · Cited by 121 · see citing works
AND-rPPG: A novel denoising-rPPG network for improving remote heart rate estimation
Birla, L., & Puneet, G. (2021) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2021.105146 · Cited by 117 · see citing works
A Review of Deep Learning-Based Contactless Heart Rate Measurement Methods
Ni, A., Azarang, A., & Kehtarnavaz, N. (2021) · Italian National Conference on Sensors · doi:10.3390/s21113719 · Cited by 84 · see citing works
Höfling, T. T. A., Gerdes, A. B. M., Föhl, U., & Alpers, G. W. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.01388 · Cited by 88 · see citing works
Data quality evaluation in wearable monitoring
Böttcher, S., Vieluf, S., Bruno, E., Joseph, B., Epitashvili, N., Biondi, A., Zabler, N., Glasstetter, M., Dümpelmann, M., Van Laerhoven, K., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-25949-x · Cited by 91 · see citing works
Михайлович, У. А. (2018) · Biomedical Physics & Engineering Express · doi:10.1088/2057-1976/aabd09 · Cited by 78 · see citing works
Real-Time Webcam Heart-Rate and Variability Estimation with Clean Ground Truth for Evaluation
Gudi, A., Bittner, M., & van Gemert, J. C. (2020) · Applied Sciences · doi:10.3390/app10238630 · Cited by 77 · see citing works
Self-citationViejo, C. G., Fuentes, S., Torrico, D. D., & Dunshea, F. R. (2018) · Sensors · doi:10.3390/s18061802 · Cited by 77 · see citing works
Robust blood pressure estimation using an RGB camera
Fan, X., Ye, Q., Yang, X., & Choudhury, S. D. (2018) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-018-1026-6 · Cited by 72 · see citing works
Remote photoplethysmography with constrained ICA using periodicity and chrominance constraints
Macwan, R., Benezeth, Y., & Mansouri, A. (2018) · BioMedical Engineering OnLine · doi:10.1186/s12938-018-0450-3 · Cited by 65 · see citing works
Time Analysis of Pulse-Based Face Anti-Spoofing in Visible and NIR
Hernandez‐Ortega, J., Fiérrez, J., Morales, A., & Pedro Tome, A. (2018) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2018.00096 · Cited by 62 · see citing works
Computer-Vision-Guided Human Pulse Rate Estimation: A Review
Sikdar, A., Behera, S. K., & Dogra, D. P. (2016) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2016.2551778 · Cited by 59 · see citing works
Wei, B., He, X., Zhang, C., & Wu, X. (2017) · BioMedical Engineering OnLine · doi:10.1186/s12938-016-0300-0 · Cited by 50 · see citing works
Estimating Heart Rate and Rhythm via 3D Motion Tracking in Depth Video
Yang, C., Cheung, G., & Stanković, V. (2017) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2017.2672198 · Cited by 49 · see citing works
Efficient Real-Time Camera Based Estimation of Heart Rate and Its Variability
Gudi, A., Bittner, M., Lochmans, R., & van Gemert, J. C. (2019) · IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw.2019.00196 · Cited by 43 · see citing works
Self-citationQin, K., Huang, W. X., Zhang, T., & Tang, S. (2022) · Artificial Intelligence Review · doi:10.1007/s10462-022-10353-8 · Cited by 41 · see citing works
Remote photoplethysmography based on implicit living skin tissue segmentation
Bobbia, S., Benezeth, Y., & Dubois, J. (2016) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.2016.7899660 · Cited by 38 · see citing works
Premkumar, S., & Hemanth, D. J. (2022) · Informatics · doi:10.3390/informatics9030057 · Cited by 37 · see citing works
Remote heart rate monitoring - Assessment of the Facereader rPPg by Noldus
Benedetto, S., Caldato, C., Greenwood, D. C., Bartoli, N., Pensabene, V., & Actis, P. (2019) · PLoS ONE · doi:10.1371/journal.pone.0225592 · Cited by 34 · see citing works
Heart rate estimation from facial photoplethysmography during dynamic illuminance changes
Lee, D., Kim, J., Kwon, S., & Park, K. (2015) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2015.7318963 · Cited by 28 · see citing works
Contactless Remote Assessment of Heart Rate and Respiration Rate Using Video Magnification
Wallace, B., Kassab, L. Y., Law, A. J. J., Goubran, R. A., & Knoefel, F. D. (2022) · IEEE Instrumentation & Measurement Magazine · doi:10.1109/mim.2022.9693458 · Cited by 28 · see citing works
Assessment of blind source separation techniques for video-based cardiac pulse extraction
Wedekind, D., Trumpp, A., Gaetjen, F., Rasche, S., Matschke, K., Malberg, H., & Zaunseder, S. (2017) · Journal of Biomedical Optics · doi:10.1117/1.jbo.22.3.035002 · Cited by 28 · see citing works
Automatic Facial Expressions Analysis in Consumer Science
Danner, L., & Duerrschmid, K. (2018) · Elsevier eBooks · doi:10.1016/b978-0-08-101743-2.00010-8 · Cited by 26 · see citing works
SUNRISE: Improving 3D mask Face Anti-spoofing for Short Videos using Pre-emptive Split and Merge
Birla, L., Gupta, P., & Kumar, S. (2022) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2022.3168345 · Cited by 26 · see citing works
Molinaro, N., Schena, E., Silvestri, S., & Massaroni, C. (2022) · Sensors · doi:10.3390/s22072539 · Cited by 23 · see citing works
Real-Time Temporal Superpixels for Unsupervised Remote Photoplethysmography
Bobbia, S., Luguern, D., Benezeth, Y., Nakamura, K., Gómez, R., & Dubois, J. (2018) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2018.00182 · Cited by 23 · see citing works
Exploring the Feasibility of Face Video Based Instantaneous Heart-Rate for Micro-Expression Spotting
Gupta, P., Bhowmick, B., & Pal, A. (2018) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2018.00179 · Cited by 23 · see citing works
Measuring pulse rate variability using long-range, non-contact imaging photoplethysmography
Blackford, E. B., Piasecki, A. M., & Estepp, J. R. (2016) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2016.7591587 · Cited by 21 · see citing works
Accurate heart-rate estimation from face videos using quality-based fusion
Gupta, P., Bhowmick, B., & Pal, A. (2017) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2017.8297060 · Cited by 20 · see citing works
Hwang, T.-H., Shi, J., & Lee, K. Y. (2023) · IEEE Access · doi:10.1109/access.2023.3328641 · Cited by 19 · see citing works
Estimating heart rate via depth video motion tracking
Yang, C., Cheung, G., & Stanković, V. (2015) · IEEE International Conference on Multimedia and Expo (ICME) · doi:10.1109/icme.2015.7177517 · Cited by 18 · see citing works
Perpetuini, D., Formenti, D., Cardone, D., Trecroci, A., Rossi, A., Credico, A. D., Merati, G., Alberti, G., Baldassarre, A. D., & Merla, A. (2023) · Sensors · doi:10.3390/s23020832 · Cited by 18 · see citing works
Quality-Based Pulse Estimation from NIR Face Video with Application to Driver Monitoring
Hernandez‐Ortega, J., Nagae, S., Fiérrez, J., & Morales, A. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-31321-0_10 · Cited by 18 · see citing works
Face and Emotion Recognition on Commercial Property under EU Data Protection Law
Lewinski, P., Trzaskowski, J., & Luzak, J. (2016) · Psychology and Marketing · doi:10.1002/mar.20913 · Cited by 18 · see citing works
Gupta, P., Bhowmick, B., & Pal, A. (2017) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2017.8037447 · Cited by 18 · see citing works
Castillo, L. I. R., Browne, M. E., Hadjistavropoulos, T., Prkachin, K. M., & Goubran, R. A. (2020) · Journal of Rehabilitation and Assistive Technologies Engineering · doi:10.1177/2055668320950196 · Cited by 17 · see citing works
Dual Attention Network for Heart Rate and Respiratory Rate Estimation
Ren, Y., Syrnyk, B., & Avadhanam, N. (2021) · IEEE International Workshop on Multimedia Signal Processing (MMSP) · doi:10.1109/mmsp53017.2021.9733524 · Cited by 16 · see citing works
Long-range non-contact imaging photoplethysmography: cardiac pulse wave sensing at a distance
Blackford, E. B., Estepp, J. R., Piasecki, A. M., Bowers, M. A., & Klosterman, S. L. (2016) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2208130 · Cited by 16 · see citing works
Human vital sign determination using tactile sensing and fuzzy triage system
Kerr, E., McGinnity, T. M., Coleman, S., & Shepherd, A. (2021) · Expert Systems with Applications · doi:10.1016/j.eswa.2021.114781 · Cited by 18 · see citing works
Robust contactless pulse transit time estimation based on signal quality metric
Fan, X., & Tjahjadi, T. (2019) · Pattern Recognition Letters · doi:10.1016/j.patrec.2019.06.016 · Cited by 14 · see citing works
Contactless monitoring of the blood-flow changes in upper limbs
Zaytsev, V. V., Miridonov, S. V., Mamontov, O. V., & Kamshilin, A. A. (2018) · Biomedical Optics Express · doi:10.1364/boe.9.005387 · Cited by 14 · see citing works
Passive Vital Sign Monitoring via Facial Vibrations Leveraging AR/VR Headsets
Zhang, T., Shi, C., Walker, P., Ye, Z., Wang, Y., Saxena, N., & Chen, Y. J. (2023) · International Conference on Mobile Systems, Applications, and Services · doi:10.1145/3581791.3596848 · Cited by 13 · see citing works
Implicit and explicit measures of food emotions
de Wijk, R. A., & Noldus, L. P. J. J. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-821124-3.00006-5 · Cited by 13 · see citing works
Demographic bias in public remote photoplethysmography datasets
Bondarenko, M., Menon, C., & Elgendi, M. (2025) · npj Digital Medicine · doi:10.1038/s41746-025-01973-9 · Cited by 11 · see citing works
Optimal facial regions for remote heart rate measurement during physical and cognitive activities
Li, S., Elgendi, M., & Menon, C. (2024) · npj Cardiovascular Health · doi:10.1038/s44325-024-00033-7 · Cited by 11 · see citing works
Fernández, A., Candás, J. L. C., Usamentiaga, R., Álvarez-Álvarez, E., & Casado, R. (2015) · International Conference on Computer, Information and Telecommunication Systems · doi:10.1109/cits.2015.7297728 · Cited by 11 · see citing works
Patil, O. R., Wang, W., Gao, Y., & Jin, Z. (2019) · IEEE International Conference on Healthcare Informatics (ICHI) · doi:10.1109/ichi.2019.8904498 · Cited by 11 · see citing works
Assessment of physiological states from contactless face video: a sparse representation approach
Qayyum, A., Mazher, M., Shuaibu, A. N., Benzinou, A., Malik, A. S., & Razzak, I. (2022) · Computing · doi:10.1007/s00607-021-01028-3 · Cited by 11 · see citing works
Robust Adaptive Heart-Rate Monitoring Using Face Videos
Gupta, P., Bhowmik, B., & Pal, A. (2018) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv.2018.00064 · Cited by 11 · see citing works
Saikia, T., Birla, L., Gupta, A. K., & Gupta, P. (2023) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2023.3334359 · Cited by 10 · see citing works
Lomaliza, J.-P., Park, H., & Billinghurst, M. (2020) · IEEE Access · doi:10.1109/access.2020.3045387 · Cited by 10 · see citing works
Integrating Remote PPG in Facial Expression Analysis Framework
Tasli, H. E., Gudi, A., & den Uyl, M. J. (2014) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/2663204.2669626 · Cited by 9 · see citing works
Self-citationNoncontact monitoring of heart rate responses to taste stimuli using a video camera
Mohamed, M. B., Yoshizawa, M., Sugita, N., Yamaki, S., & Ichiji, K. (2020) · Indonesian Journal of Electrical Engineering and Computer Science · doi:10.11591/ijeecs.v18.i1.pp293-300 · Cited by 9 · see citing works
Vision-Based Remote Heart Rate Variability Monitoring Using Camera
Rahman, H., Ahmed, M. U., & Begum, S. (2018) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-319-76213-5_2 · Cited by 8 · see citing works
Ibrahim, N., Tomari, R., Zakaria, W. N. W., & Othman, N. B. (2018) · Journal of Physics Conference Series · doi:10.1088/1742-6596/1049/1/012003 · Cited by 8 · see citing works
Robot-Aided Contactless Monitoring of Workers’ Cardiac Activity in Hazardous Environment
Cittadini, R., Buonocore, L. R., Matheson, E., Castro, M. D., & Zollo, L. (2022) · IEEE Access · doi:10.1109/access.2022.3231098 · Cited by 7 · see citing works
Detection and Tracking of Faces in 3D Using a Stereo Camera Arrangements
AlQahtani, F., Banks, J., Chandran, V., & Zhang, J. (2019) · International Journal of Machine Learning and Computing · doi:10.18178/ijmlc.2019.9.1.762 · Cited by 7 · see citing works
A Multisensory, Green, and Energy Efficient Housing Neuromarketing Method
Kaklauskas, A., Ubartė, I., Kalibatas, D., Lill, I., Velykorusova, A., Volginas, P., Vinogradova-Zinkevič, I., Milevicius, V., Vetloviene, I., Grubliauskas, R., et al. (2019) · Energies · doi:10.3390/en12203836 · Cited by 7 · see citing works
Who do you want to be? Real-time face swap
den Uyl, T. M., Tasli, H. E., Ivan, P., & Snijdewind, M. (2015) · 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG) · doi:10.1109/fg.2015.7163172 · Cited by 5 · see citing works
Self-citationColor Signal Processing Methods for Webcam-Based Heart Rate Evaluation
Kopeliovich, M. V., & Petrushan, M. V. (2019) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-29513-4_53 · Cited by 5 · see citing works
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Kayani, M., Riaz, M. M., Ghafoor, A., & Iltaf, N. (2019) · Measurement · doi:10.1016/j.measurement.2019.107290 · Cited by 5 · see citing works
Assessment of source separation techniques to extract vital parameters from videos
Wedekind, D., Trumpp, A., Andreotti, F., Gaetjen, F., Rasche, S., Matschke, K., Malberg, H., & Zaunseder, S. (2015) · European Signal Processing Conference (EUSIPCO) · doi:10.1109/eusipco.2015.7362420 · Cited by 5 · see citing works
Accurate heart rate estimation from camera recording via MUSIC algorithm
Fouladi, S. H., Balasingham, I., Ramstad, T. A., & Kansanen, K. (2015) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2015.7320115 · Cited by 5 · see citing works
Remote Heart Rate Estimation Based on 3D Facial Landmarks
Maki, Y., Monno, Y., Tanaka, M., & Okutomi, M. (2020) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc44109.2020.9176563 · Cited by 4 · see citing works
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Kamel, N., Kajo, I., & Ruichek, Y. (2019) · Journal of Mathematical Imaging and Vision · doi:10.1007/s10851-019-00894-z · Cited by 4 · see citing works
Zeb, S., Lian, X., Mumtaz, W., & Wang, K. (2026) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2026.109787 · Cited by 3 · see citing works
Assessing Confidence in Video Magnification Heart Rate Measurement using Multiple ROIs
Elhajjar, D., Wallace, B., Law, A. J. J., Goubran, R. A., & Knoefel, F. D. (2023) · IEEE International Instrumentation and Measurement Technology Conference · doi:10.1109/i2mtc53148.2023.10175914 · Cited by 3 · see citing works
Real-time facial character animation
Tasli, H. E., den Uyl, T. M., Boujut, H., & Zaharia, T. B. (2015) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fg.2015.7163173 · Cited by 3 · see citing works
Self-citationSensor-based Vital Sign Monitoring, Analysis and Visualisation for Ageing in Place
Kerr, E., Coleman, S., Kerr, D., Vance, P. J., Gardiner, B., Zhang, Y., Wang, F., & Wu, C. (2018) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2018.8489526 · Cited by 3 · see citing works
DSE-NN: Deeply Supervised Efficient Neural Network for Real-Time Remote Photoplethysmography
Lee, S., Lee, M., & Sim, J. Y. (2023) · Bioengineering · doi:10.3390/bioengineering10121428 · Cited by 3 · see citing works
A Comparative Evaluation of Heart Rate Estimation Methods using Face Videos
Hernandez‐Ortega, J., Fiérrez, J., Morales, A., & Diaz, D. (2020) · IEEE Annual International Computer Software and Applications Conference (COMPSAC) · doi:10.1109/compsac48688.2020.00-53 · Cited by 2 · see citing works
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Birla, L., Shukla, S., Saikia, T., & Gupta, P. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-78201-5_24 · Cited by 2 · see citing works
Turkish Presidential Elections TRT Publicity Speech Facial Expression AnalysisPreprint
Tasli, H. E., & Ivan, P. (2014) · arXiv (Cornell University) · doi:10.48550/arxiv.1408.3573 · Cited by 2 · see citing works
Self-citationNakamura, H., Lin, G., & Mitsukura, Y. (2025) · IEEE Access · doi:10.1109/access.2025.3580578 · Cited by 1 · see citing works
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Borges, P., & Cardoso, G. C. (2016) · Revista Brasileira de Física Médica · doi:10.29384/rbfm.2016.v10.n2.p34-38 · Cited by 1 · see citing works
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Ravindran, S., Weng, L. Y., Sahari, K. S. M., Anuar, A., Jalal, M., Rafaai, Z. F. B. M., Raventhran, P. N. A.-P., Radzi, H. B. M., & Yussof, S. (2021) · IEEE Student Conference on Research and Development (SCOReD) · doi:10.1109/scored53546.2021.9652720 · Cited by 1 · see citing works
Remote Heart Rate Estimation Based on ROI Extraction
Jian, W., Zhang, Y., & Hu, K. (2023) · International Congress on Image and Signal Processing (CISP) · doi:10.1109/cisp-bmei60920.2023.10373358 · Cited by 1 · see citing works
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Elhajjar, D., Wallace, B., Law, A. J. J., Goubran, R. A., & Knoefel, F. D. (2023) · IEEE International Conference on Bioinformatics and Bioengineering (BIBE) · doi:10.1109/bibe60311.2023.00046 · Cited by 1 · see citing works
Continuous Presentation Attack Detection in Face Biometrics Based on Heart Rate
Hernandez‐Ortega, J., Fiérrez, J., González-Sosa, E., & Morales, A. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-12177-8_7 · Cited by 1 · see citing works
A Three Steps Eye-Liveness Validation System
Al-Rashid, A. (2019) · doi:10.1109/cset.2019.8904884 · Cited by 1 · see citing works
Heart Rate Detection using Video Magnification: Impact of Algorithmic Parameters and Noise
Kassab, L. Y. (2022) · doi:10.22215/etd/2022-15000 · Cited by 1 · see citing works
Deep Pulse-Signal Magnification for Remote Heart Rate Estimation in Compressed VideosPreprint
Martínez, J. C., Ruiz, A., & Sukno, F. M. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4726549 · Cited by 1 · see citing works
Blood Pulsation Intensity Video MappingPreprint
Borges, P. H. D. M., & Cardoso, G. C. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1611.03527
Dynamic Face ROI Tracking for Spatiotemporal Video Processing-based Pulse Rate Estimation
Tabal, K. M. R., & Cruz, J. C. D. (2024) · IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS) · doi:10.1109/i2cacis61270.2024.10649864
Biradar, H. G., & Gawande, J. P. (2024) · International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS) · doi:10.1109/icetems64039.2024.10964989
Light-Emitting Materials for Wearable Bioelectronics
Okmi, A. (2025) · Engineering materials · doi:10.1007/978-3-031-88731-4_7
Noncontact Vital Sign Measurement Using Video Data: A Review
Lakshmi, D. R., & Swathi, K. (2025) · Springer proceedings in mathematics & statistics · doi:10.1007/978-3-031-84513-0_1
REVIT: A Dataset and Benchmark for Remote Vital Sign Estimation in Real-World Settings
Dasari, A., Revanur, A., Gadepally, S. S., Houston-Suluku, N., Kamara, S., Jeni, L. A., & Tucker, C. S. (2025) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3770635
Computer vision guided pulse rate estimation techniques
Chakravarthi, B. (2022) · Open Research Knowledge Graph (ORKG) · doi:10.48366/r209929
VitalVideos-Worldwide: A Large and Diverse rPPG Dataset with Rich Ground Truths
Toye, P.-J. (2025) · IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw69036.2025.00063
iPPGYdrNet: HR Extraction Under Motion and Occlusion Conditions
Zhang, C., Wu, C., Wu, X., & Fang, M. (2026) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-032-21168-2_17
Modeling the post-extrasystolic potentiation to determine heart failure
Montree, R. J. H., Peri, E., Dekker, L., Long, X., Haakma, R., & Vullings, R. (2026) · Frontiers in Signal Processing · doi:10.3389/frsip.2026.1909928
- Authors
- Tasli, H. E., Gudi, A., & den Uyl, M.
- Affiliations
- University of Amsterdam (NL)
- ORCID
- Gudi, Amogh
- Venue
- 2014 IEEE International Conference on Image Processing (ICIP)
- Publisher
- IEEE
- Published
- 2014-10
- Pages
- 1410-1414
- ISSN
- 1522-4880 (ISSN-L)
- OpenAlex
- W2039948765
- Cited by
- 99
- References
- 14
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 5 · 2023: 9 · 2022: 10 · 2021: 7 · 2020: 8 · 2019: 12 · 2018: 14 · 2017: 7 · 2016: 8 · 2015: 8 · 2014: 2
- FWCI
- 16.18
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Proceedings - International Conference on Image Processing (publishedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
- Keywords
- remote photoplethysmography, vital signs monitoring, heart rate estimation, heart rate variability, skin color variation, non-contact physiological monitoring, periodic signal extraction
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