S. Tulyakov, X. Alameda-Pineda, E. Ricci, L. Yin, J. F. Cohn, and N. Sebe, “Self-adaptive matrix completion for heart rate estimation from face videos under realistic conditions,” in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, (IEEE, 2016), pp. 2396–2404.
M. A. Hassan, A. S. Malik, D. Fofi, N. M. Saad, Y. S. Ali, and F. Meriaudeau, “Video-based heartbeat rate measuring method using ballistocardiography,” IEEE Sensors Journal 17 (14), 4544–4557 (2017).
[Crossref]
M. Aminghafari, N. Cheze, and J.-M. Poggi, “Multivariate denoising using wavelets and principal component analysis,” Computational Statistics Data Analysis 50, 2381–2398 (2006).
[Crossref]
A. Antoniadis, “Wavelets in statistics: a review,” Journal of the Italian Statistical Society 6 (2), 97–130 (1997).
[Crossref]
A. Krishnaswamy and G. V. Baranoski, A study on skin optics, Natural Phenomena Simulation Group, School of Computer Science, University of Waterloo, Canada, Technical Report. 1, 1–17 (2004).
L. Scalise, N. Bernacchia, I. Ercoli, and P. Marchionni, “Heart rate measurement in neonatal patients using a webcamera,” in: Medical Measurements and Applications Proceedings, 2012 IEEE International Symposium on, (IEEE, 2012), pp. 1–4.
C. E. Matthews, M. Hagströmer, D. M. Pober, and H. R. Bowles, “Best practices for using physical activity monitors in population-based research,” Medicine and science in sports and exercise 44 (1 Suppl 1), S68 (2012).
[Crossref]
H. Monkaresi, R. Calvo, and H. Yan, “A machine learning approach to improve contactless heart rate monitoring using a webcam,” IEEE J. Biomed. Health Informatics 18 (4) 1153–1160 (2014).
[Crossref]
T. Lister, P. A. Wright, and P. H. Chappell, “Optical properties of human skin,” J. Biomed. Opt. 17 (9), 0909011 (2012).
[Crossref]
X. Li, J. Chen, G. Zhao, and M. Pietikainen, “Remote heart rate measurement from face videos under realistic situations,” in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, (IEEE, 2014), pp. 4264–4271.
M. Aminghafari, N. Cheze, and J.-M. Poggi, “Multivariate denoising using wavelets and principal component analysis,” Computational Statistics Data Analysis 50, 2381–2398 (2006).
[Crossref]
S. Tulyakov, X. Alameda-Pineda, E. Ricci, L. Yin, J. F. Cohn, and N. Sebe, “Self-adaptive matrix completion for heart rate estimation from face videos under realistic conditions,” in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, (IEEE, 2016), pp. 2396–2404.
G. R. Cooper and C. D. McGillem, Probabilistic Methods of Signal and System Analysis (Oxford University Press, 1986).
W. Wang, B. den Brinker, S. Stuijk, and G. de Haan, “lgorithmic principles of remote-ppg,” IEEE Trans. Biomedical Engineering. 64 (7), 1479–1491 (2017).
W. Wang, S. Stuijk, and G. de Haan, “A novel algorithm for remote photoplethysmography: Spatial subspace rotation,” IEEE Trans. Biomedical Engineering 63 (9), 1974–1984 (2016).
[Crossref]
W. Wang, S. Stuijk, and G. De Haan, “Exploiting spatial redundancy of image sensor for motion robust rppg,” IEEE Trans. Biomedical Engineering 62 (2), 415–425 (2015).
[Crossref]
G. de Haan and V. Jeanne, “Robust pulse rate from chrominance-based rppg,” IEEE Trans. Biomedical Engineering 60 (10), 2878–2886 (2013).
[Crossref]
W. Wang, B. den Brinker, S. Stuijk, and G. de Haan, “lgorithmic principles of remote-ppg,” IEEE Trans. Biomedical Engineering. 64 (7), 1479–1491 (2017).
P. J. Rousseeuw and K. V. Driessen, “A fast algorithm for the minimum covariance determinant estimator,” Technometrics 41 (3), 212–223 (1999).
[Crossref]
L. Scalise, N. Bernacchia, I. Ercoli, and P. Marchionni, “Heart rate measurement in neonatal patients using a webcamera,” in: Medical Measurements and Applications Proceedings, 2012 IEEE International Symposium on, (IEEE, 2012), pp. 1–4.
L. Feng, L.-M. Po, X. Xu, Y. Li, and R. Ma, “Motion-resistant remote imaging photoplethysmography based on the optical properties of skin,” IEEE Trans. Circuits and Systems for Video Technology 25 (5), 879–891 (2015).
[Crossref]
M. A. Hassan, A. S. Malik, D. Fofi, N. M. Saad, Y. S. Ali, and F. Meriaudeau, “Video-based heartbeat rate measuring method using ballistocardiography,” IEEE Sensors Journal 17 (14), 4544–4557 (2017).
[Crossref]
C. E. Matthews, M. Hagströmer, D. M. Pober, and H. R. Bowles, “Best practices for using physical activity monitors in population-based research,” Medicine and science in sports and exercise 44 (1 Suppl 1), S68 (2012).
[Crossref]
M. A. Haque, R. Irani, K. Nasrollahi, and T. B. Moeslund, “Heartbeat rate measurement from facial video,” IEEE Intelligent Systems 31 (3), 40–48 (2016).
[Crossref]
M. A. Hassan, A. S. Malik, D. Fofi, N. M. Saad, Y. S. Ali, and F. Meriaudeau, “Video-based heartbeat rate measuring method using ballistocardiography,” IEEE Sensors Journal 17 (14), 4544–4557 (2017).
[Crossref]
S. Mallat and W. L. Hwang, “Singularity detection and processing with wavelets,” IEEE transactions on information theory 38 (2), 617–643 (1992).
[Crossref]
M. A. Haque, R. Irani, K. Nasrollahi, and T. B. Moeslund, “Heartbeat rate measurement from facial video,” IEEE Intelligent Systems 31 (3), 40–48 (2016).
[Crossref]
G. de Haan and V. Jeanne, “Robust pulse rate from chrominance-based rppg,” IEEE Trans. Biomedical Engineering 60 (10), 2878–2886 (2013).
[Crossref]
S. Kwon, H. Kim, and K. S. Park, “Validation of heart rate extraction using video imaging on a built-in camera system of a smartphone,” in: 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, (IEEE, 2012), pp. 2174–2177.
M. Lewandowska, J. Rumiski, T. Kocejko, and J. Nowak, “Measuring pulse rate with a webcam–a non-contact method for evaluating cardiac activity,” in: Computer Science and Information Systems, 2011 Federated Conference on, (IEEE, 2011), pp. 405–410.
T. Pursche, J. Krajewski, and R. Moeller, “Video-based heart rate measurement from human faces,” in: 2012 IEEE International Conference On Consumer Electronics, (IEEE, 2012), pp. 544–545.
A. Krishnaswamy and G. V. Baranoski, A study on skin optics, Natural Phenomena Simulation Group, School of Computer Science, University of Waterloo, Canada, Technical Report. 1, 1–17 (2004).
A. Lam and Y. Kuno, “Robust heart rate measurement from video using select random patches,” in: Proceedings of the IEEE International Conference on Computer Vision, (IEEE, 2015), pp. 3640–3648.
S. Kwon, H. Kim, and K. S. Park, “Validation of heart rate extraction using video imaging on a built-in camera system of a smartphone,” in: 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, (IEEE, 2012), pp. 2174–2177.
A. Lam and Y. Kuno, “Robust heart rate measurement from video using select random patches,” in: Proceedings of the IEEE International Conference on Computer Vision, (IEEE, 2015), pp. 3640–3648.
M. Lewandowska, J. Rumiski, T. Kocejko, and J. Nowak, “Measuring pulse rate with a webcam–a non-contact method for evaluating cardiac activity,” in: Computer Science and Information Systems, 2011 Federated Conference on, (IEEE, 2011), pp. 405–410.
X. Li, J. Chen, G. Zhao, and M. Pietikainen, “Remote heart rate measurement from face videos under realistic situations,” in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, (IEEE, 2014), pp. 4264–4271.
L. Feng, L.-M. Po, X. Xu, Y. Li, and R. Ma, “Motion-resistant remote imaging photoplethysmography based on the optical properties of skin,” IEEE Trans. Circuits and Systems for Video Technology 25 (5), 879–891 (2015).
[Crossref]
M. Soleymani, J. Lichtenauer, T. Pun, and M. Pantic, “A multimodal database for affect recognition and implicit tagging,” IEEE Transactions on Affective Computing 3 (1), 42–55 (2012).
[Crossref]
Y.-P. Yu, P. Raveendran, and C.-L. Lim, “Heart rate estimation from facial images using filter bank,” in: Communications, Control and Signal Processing, 2014 6th International Symposium on, (IEEE, 2014), pp. 69–72.
T. Lister, P. A. Wright, and P. H. Chappell, “Optical properties of human skin,” J. Biomed. Opt. 17 (9), 0909011 (2012).
[Crossref]
L. Feng, L.-M. Po, X. Xu, Y. Li, and R. Ma, “Motion-resistant remote imaging photoplethysmography based on the optical properties of skin,” IEEE Trans. Circuits and Systems for Video Technology 25 (5), 879–891 (2015).
[Crossref]
M. A. Hassan, A. S. Malik, D. Fofi, N. M. Saad, Y. S. Ali, and F. Meriaudeau, “Video-based heartbeat rate measuring method using ballistocardiography,” IEEE Sensors Journal 17 (14), 4544–4557 (2017).
[Crossref]
S. Mallat and W. L. Hwang, “Singularity detection and processing with wavelets,” IEEE transactions on information theory 38 (2), 617–643 (1992).
[Crossref]
S. Mallat, A Wavelet Tour of Signal Processing (Academic Press, 1999).
S. Mallat, A Wavelet Tour of Signal Processing: The Sparse Way (Academic Press, 2008).
L. Scalise, N. Bernacchia, I. Ercoli, and P. Marchionni, “Heart rate measurement in neonatal patients using a webcamera,” in: Medical Measurements and Applications Proceedings, 2012 IEEE International Symposium on, (IEEE, 2012), pp. 1–4.
C. E. Matthews, M. Hagströmer, D. M. Pober, and H. R. Bowles, “Best practices for using physical activity monitors in population-based research,” Medicine and science in sports and exercise 44 (1 Suppl 1), S68 (2012).
[Crossref]
M.-Z. Poh, D. J. McDuff, and R. W. Picard, “Advancements in noncontact, multiparameter physiological measurements using a webcam,” IEEE Trans. Biomed. Engineering 58 (1), 7–11 (2011).
[Crossref]
M.-Z. Poh, D. J. McDuff, and R. W. Picard, “Non-contact, automated cardiac pulse measurements using video imaging and blind source separation,” Opt. Express 18 (10), 10762–10774 (2010).
[Crossref]
[PubMed]
G. R. Cooper and C. D. McGillem, Probabilistic Methods of Signal and System Analysis (Oxford University Press, 1986).
M. A. Hassan, A. S. Malik, D. Fofi, N. M. Saad, Y. S. Ali, and F. Meriaudeau, “Video-based heartbeat rate measuring method using ballistocardiography,” IEEE Sensors Journal 17 (14), 4544–4557 (2017).
[Crossref]
T. Pursche, J. Krajewski, and R. Moeller, “Video-based heart rate measurement from human faces,” in: 2012 IEEE International Conference On Consumer Electronics, (IEEE, 2012), pp. 544–545.
M. A. Haque, R. Irani, K. Nasrollahi, and T. B. Moeslund, “Heartbeat rate measurement from facial video,” IEEE Intelligent Systems 31 (3), 40–48 (2016).
[Crossref]
H. Monkaresi, R. Calvo, and H. Yan, “A machine learning approach to improve contactless heart rate monitoring using a webcam,” IEEE J. Biomed. Health Informatics 18 (4) 1153–1160 (2014).
[Crossref]
M. A. Haque, R. Irani, K. Nasrollahi, and T. B. Moeslund, “Heartbeat rate measurement from facial video,” IEEE Intelligent Systems 31 (3), 40–48 (2016).
[Crossref]
M. Lewandowska, J. Rumiski, T. Kocejko, and J. Nowak, “Measuring pulse rate with a webcam–a non-contact method for evaluating cardiac activity,” in: Computer Science and Information Systems, 2011 Federated Conference on, (IEEE, 2011), pp. 405–410.
Y. Wang, J. Ostermann, and Y.-Q. Zhang, Video Processing and Communications, Vol. 5, (Prentice HallUpper Saddle River, 2002).
M. Soleymani, J. Lichtenauer, T. Pun, and M. Pantic, “A multimodal database for affect recognition and implicit tagging,” IEEE Transactions on Affective Computing 3 (1), 42–55 (2012).
[Crossref]
S. Kwon, H. Kim, and K. S. Park, “Validation of heart rate extraction using video imaging on a built-in camera system of a smartphone,” in: 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, (IEEE, 2012), pp. 2174–2177.
M.-Z. Poh, D. J. McDuff, and R. W. Picard, “Advancements in noncontact, multiparameter physiological measurements using a webcam,” IEEE Trans. Biomed. Engineering 58 (1), 7–11 (2011).
[Crossref]
M.-Z. Poh, D. J. McDuff, and R. W. Picard, “Non-contact, automated cardiac pulse measurements using video imaging and blind source separation,” Opt. Express 18 (10), 10762–10774 (2010).
[Crossref]
[PubMed]
X. Li, J. Chen, G. Zhao, and M. Pietikainen, “Remote heart rate measurement from face videos under realistic situations,” in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, (IEEE, 2014), pp. 4264–4271.
L. Feng, L.-M. Po, X. Xu, Y. Li, and R. Ma, “Motion-resistant remote imaging photoplethysmography based on the optical properties of skin,” IEEE Trans. Circuits and Systems for Video Technology 25 (5), 879–891 (2015).
[Crossref]
C. E. Matthews, M. Hagströmer, D. M. Pober, and H. R. Bowles, “Best practices for using physical activity monitors in population-based research,” Medicine and science in sports and exercise 44 (1 Suppl 1), S68 (2012).
[Crossref]
M. Aminghafari, N. Cheze, and J.-M. Poggi, “Multivariate denoising using wavelets and principal component analysis,” Computational Statistics Data Analysis 50, 2381–2398 (2006).
[Crossref]
M.-Z. Poh, D. J. McDuff, and R. W. Picard, “Advancements in noncontact, multiparameter physiological measurements using a webcam,” IEEE Trans. Biomed. Engineering 58 (1), 7–11 (2011).
[Crossref]
M.-Z. Poh, D. J. McDuff, and R. W. Picard, “Non-contact, automated cardiac pulse measurements using video imaging and blind source separation,” Opt. Express 18 (10), 10762–10774 (2010).
[Crossref]
[PubMed]
M. Soleymani, J. Lichtenauer, T. Pun, and M. Pantic, “A multimodal database for affect recognition and implicit tagging,” IEEE Transactions on Affective Computing 3 (1), 42–55 (2012).
[Crossref]
T. Pursche, J. Krajewski, and R. Moeller, “Video-based heart rate measurement from human faces,” in: 2012 IEEE International Conference On Consumer Electronics, (IEEE, 2012), pp. 544–545.
Y.-P. Yu, P. Raveendran, and C.-L. Lim, “Heart rate estimation from facial images using filter bank,” in: Communications, Control and Signal Processing, 2014 6th International Symposium on, (IEEE, 2014), pp. 69–72.
S. Tulyakov, X. Alameda-Pineda, E. Ricci, L. Yin, J. F. Cohn, and N. Sebe, “Self-adaptive matrix completion for heart rate estimation from face videos under realistic conditions,” in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, (IEEE, 2016), pp. 2396–2404.
P. J. Rousseeuw and K. V. Driessen, “A fast algorithm for the minimum covariance determinant estimator,” Technometrics 41 (3), 212–223 (1999).
[Crossref]
M. Lewandowska, J. Rumiski, T. Kocejko, and J. Nowak, “Measuring pulse rate with a webcam–a non-contact method for evaluating cardiac activity,” in: Computer Science and Information Systems, 2011 Federated Conference on, (IEEE, 2011), pp. 405–410.
M. A. Hassan, A. S. Malik, D. Fofi, N. M. Saad, Y. S. Ali, and F. Meriaudeau, “Video-based heartbeat rate measuring method using ballistocardiography,” IEEE Sensors Journal 17 (14), 4544–4557 (2017).
[Crossref]
L. Scalise, N. Bernacchia, I. Ercoli, and P. Marchionni, “Heart rate measurement in neonatal patients using a webcamera,” in: Medical Measurements and Applications Proceedings, 2012 IEEE International Symposium on, (IEEE, 2012), pp. 1–4.
S. Tulyakov, X. Alameda-Pineda, E. Ricci, L. Yin, J. F. Cohn, and N. Sebe, “Self-adaptive matrix completion for heart rate estimation from face videos under realistic conditions,” in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, (IEEE, 2016), pp. 2396–2404.
J. Shi and C. Tomasi, “Good features to track,” in: Computer Vision and Pattern Recognition, 1994. Proceedings CVPR’94., 1994 IEEE Computer Society Conference on, (IEEE, 1994), pp. 593–600.
M. Soleymani, J. Lichtenauer, T. Pun, and M. Pantic, “A multimodal database for affect recognition and implicit tagging,” IEEE Transactions on Affective Computing 3 (1), 42–55 (2012).
[Crossref]
W. Wang, B. den Brinker, S. Stuijk, and G. de Haan, “lgorithmic principles of remote-ppg,” IEEE Trans. Biomedical Engineering. 64 (7), 1479–1491 (2017).
W. Wang, S. Stuijk, and G. de Haan, “A novel algorithm for remote photoplethysmography: Spatial subspace rotation,” IEEE Trans. Biomedical Engineering 63 (9), 1974–1984 (2016).
[Crossref]
W. Wang, S. Stuijk, and G. De Haan, “Exploiting spatial redundancy of image sensor for motion robust rppg,” IEEE Trans. Biomedical Engineering 62 (2), 415–425 (2015).
[Crossref]
J. Shi and C. Tomasi, “Good features to track,” in: Computer Vision and Pattern Recognition, 1994. Proceedings CVPR’94., 1994 IEEE Computer Society Conference on, (IEEE, 1994), pp. 593–600.
S. Tulyakov, X. Alameda-Pineda, E. Ricci, L. Yin, J. F. Cohn, and N. Sebe, “Self-adaptive matrix completion for heart rate estimation from face videos under realistic conditions,” in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, (IEEE, 2016), pp. 2396–2404.
W. Wang, B. den Brinker, S. Stuijk, and G. de Haan, “lgorithmic principles of remote-ppg,” IEEE Trans. Biomedical Engineering. 64 (7), 1479–1491 (2017).
W. Wang, S. Stuijk, and G. de Haan, “A novel algorithm for remote photoplethysmography: Spatial subspace rotation,” IEEE Trans. Biomedical Engineering 63 (9), 1974–1984 (2016).
[Crossref]
W. Wang, S. Stuijk, and G. De Haan, “Exploiting spatial redundancy of image sensor for motion robust rppg,” IEEE Trans. Biomedical Engineering 62 (2), 415–425 (2015).
[Crossref]
Y. Wang, J. Ostermann, and Y.-Q. Zhang, Video Processing and Communications, Vol. 5, (Prentice HallUpper Saddle River, 2002).
T. Lister, P. A. Wright, and P. H. Chappell, “Optical properties of human skin,” J. Biomed. Opt. 17 (9), 0909011 (2012).
[Crossref]
L. Feng, L.-M. Po, X. Xu, Y. Li, and R. Ma, “Motion-resistant remote imaging photoplethysmography based on the optical properties of skin,” IEEE Trans. Circuits and Systems for Video Technology 25 (5), 879–891 (2015).
[Crossref]
H. Monkaresi, R. Calvo, and H. Yan, “A machine learning approach to improve contactless heart rate monitoring using a webcam,” IEEE J. Biomed. Health Informatics 18 (4) 1153–1160 (2014).
[Crossref]
S. Tulyakov, X. Alameda-Pineda, E. Ricci, L. Yin, J. F. Cohn, and N. Sebe, “Self-adaptive matrix completion for heart rate estimation from face videos under realistic conditions,” in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, (IEEE, 2016), pp. 2396–2404.
Y.-P. Yu, P. Raveendran, and C.-L. Lim, “Heart rate estimation from facial images using filter bank,” in: Communications, Control and Signal Processing, 2014 6th International Symposium on, (IEEE, 2014), pp. 69–72.
Y. Wang, J. Ostermann, and Y.-Q. Zhang, Video Processing and Communications, Vol. 5, (Prentice HallUpper Saddle River, 2002).
X. Li, J. Chen, G. Zhao, and M. Pietikainen, “Remote heart rate measurement from face videos under realistic situations,” in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, (IEEE, 2014), pp. 4264–4271.
M. Kumar, A. Veeraraghavan, and A. Sabharwal, Distanceppg: “Robust non-contact vital signs monitoring using a camera,” Biomed. Opt. Express 6 (5), 1565–1588 (2015).
[Crossref]
[PubMed]
A. R. Guazzi, M. Villarroel, J. Jorge, J. Daly, M. C. Frise, P. A. Robbins, and L. Tarassenko, “Non-contact measurement of oxygen saturation with an rgb camera,” Biomed. Opt. Express 6 (9), 3320–3338 (2015).
[Crossref]
[PubMed]
M. Aminghafari, N. Cheze, and J.-M. Poggi, “Multivariate denoising using wavelets and principal component analysis,” Computational Statistics Data Analysis 50, 2381–2398 (2006).
[Crossref]
M. A. Haque, R. Irani, K. Nasrollahi, and T. B. Moeslund, “Heartbeat rate measurement from facial video,” IEEE Intelligent Systems 31 (3), 40–48 (2016).
[Crossref]
H. Monkaresi, R. Calvo, and H. Yan, “A machine learning approach to improve contactless heart rate monitoring using a webcam,” IEEE J. Biomed. Health Informatics 18 (4) 1153–1160 (2014).
[Crossref]
M. A. Hassan, A. S. Malik, D. Fofi, N. M. Saad, Y. S. Ali, and F. Meriaudeau, “Video-based heartbeat rate measuring method using ballistocardiography,” IEEE Sensors Journal 17 (14), 4544–4557 (2017).
[Crossref]
M.-Z. Poh, D. J. McDuff, and R. W. Picard, “Advancements in noncontact, multiparameter physiological measurements using a webcam,” IEEE Trans. Biomed. Engineering 58 (1), 7–11 (2011).
[Crossref]
G. de Haan and V. Jeanne, “Robust pulse rate from chrominance-based rppg,” IEEE Trans. Biomedical Engineering 60 (10), 2878–2886 (2013).
[Crossref]
W. Wang, S. Stuijk, and G. de Haan, “A novel algorithm for remote photoplethysmography: Spatial subspace rotation,” IEEE Trans. Biomedical Engineering 63 (9), 1974–1984 (2016).
[Crossref]
W. Wang, S. Stuijk, and G. De Haan, “Exploiting spatial redundancy of image sensor for motion robust rppg,” IEEE Trans. Biomedical Engineering 62 (2), 415–425 (2015).
[Crossref]
W. Wang, B. den Brinker, S. Stuijk, and G. de Haan, “lgorithmic principles of remote-ppg,” IEEE Trans. Biomedical Engineering. 64 (7), 1479–1491 (2017).
L. Feng, L.-M. Po, X. Xu, Y. Li, and R. Ma, “Motion-resistant remote imaging photoplethysmography based on the optical properties of skin,” IEEE Trans. Circuits and Systems for Video Technology 25 (5), 879–891 (2015).
[Crossref]
M. Soleymani, J. Lichtenauer, T. Pun, and M. Pantic, “A multimodal database for affect recognition and implicit tagging,” IEEE Transactions on Affective Computing 3 (1), 42–55 (2012).
[Crossref]
S. Mallat and W. L. Hwang, “Singularity detection and processing with wavelets,” IEEE transactions on information theory 38 (2), 617–643 (1992).
[Crossref]
T. Lister, P. A. Wright, and P. H. Chappell, “Optical properties of human skin,” J. Biomed. Opt. 17 (9), 0909011 (2012).
[Crossref]
A. Antoniadis, “Wavelets in statistics: a review,” Journal of the Italian Statistical Society 6 (2), 97–130 (1997).
[Crossref]
C. E. Matthews, M. Hagströmer, D. M. Pober, and H. R. Bowles, “Best practices for using physical activity monitors in population-based research,” Medicine and science in sports and exercise 44 (1 Suppl 1), S68 (2012).
[Crossref]
P. J. Rousseeuw and K. V. Driessen, “A fast algorithm for the minimum covariance determinant estimator,” Technometrics 41 (3), 212–223 (1999).
[Crossref]
J. Shi and C. Tomasi, “Good features to track,” in: Computer Vision and Pattern Recognition, 1994. Proceedings CVPR’94., 1994 IEEE Computer Society Conference on, (IEEE, 1994), pp. 593–600.
L. Scalise, N. Bernacchia, I. Ercoli, and P. Marchionni, “Heart rate measurement in neonatal patients using a webcamera,” in: Medical Measurements and Applications Proceedings, 2012 IEEE International Symposium on, (IEEE, 2012), pp. 1–4.
S. Mallat, A Wavelet Tour of Signal Processing (Academic Press, 1999).
G. R. Cooper and C. D. McGillem, Probabilistic Methods of Signal and System Analysis (Oxford University Press, 1986).
S. Mallat, A Wavelet Tour of Signal Processing: The Sparse Way (Academic Press, 2008).
S. Tulyakov, X. Alameda-Pineda, E. Ricci, L. Yin, J. F. Cohn, and N. Sebe, “Self-adaptive matrix completion for heart rate estimation from face videos under realistic conditions,” in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, (IEEE, 2016), pp. 2396–2404.
Y. Wang, J. Ostermann, and Y.-Q. Zhang, Video Processing and Communications, Vol. 5, (Prentice HallUpper Saddle River, 2002).
A. Krishnaswamy and G. V. Baranoski, A study on skin optics, Natural Phenomena Simulation Group, School of Computer Science, University of Waterloo, Canada, Technical Report. 1, 1–17 (2004).
M. Lewandowska, J. Rumiski, T. Kocejko, and J. Nowak, “Measuring pulse rate with a webcam–a non-contact method for evaluating cardiac activity,” in: Computer Science and Information Systems, 2011 Federated Conference on, (IEEE, 2011), pp. 405–410.
S. Kwon, H. Kim, and K. S. Park, “Validation of heart rate extraction using video imaging on a built-in camera system of a smartphone,” in: 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, (IEEE, 2012), pp. 2174–2177.
T. Pursche, J. Krajewski, and R. Moeller, “Video-based heart rate measurement from human faces,” in: 2012 IEEE International Conference On Consumer Electronics, (IEEE, 2012), pp. 544–545.
Y.-P. Yu, P. Raveendran, and C.-L. Lim, “Heart rate estimation from facial images using filter bank,” in: Communications, Control and Signal Processing, 2014 6th International Symposium on, (IEEE, 2014), pp. 69–72.
X. Li, J. Chen, G. Zhao, and M. Pietikainen, “Remote heart rate measurement from face videos under realistic situations,” in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, (IEEE, 2014), pp. 4264–4271.
A. Lam and Y. Kuno, “Robust heart rate measurement from video using select random patches,” in: Proceedings of the IEEE International Conference on Computer Vision, (IEEE, 2015), pp. 3640–3648.
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