[1] García Lledó A, Valdés Rodríguez E, Ozcoidi Val M. Heart disease and vehicle driving: novelties in European and Spanish law[J]. Revista Espanola De Cardiologia (English Ed.), 71, 892-894(2018).

[2] Niu X S, Han H, Shan S G. Remote photoplethysmography-based physiological measurement: a survey[J]. Journal of Image and Graphics, 25, 2321-2336(2020).

[3] Kong L Q, Wu X X, Dong L Q et al. Robust non-contact heart rate detection based on near infrared video[J]. Chinese Journal of Lasers, 50, 2107202(2023).

[4] Li P X, Benezeth Y, Nakamura K et al. Comparison of region of interest segmentation methods for video-based heart rate measurements[C], 143-146(2018).

[5] de Haan G, Jeanne V. Robust pulse rate from chrominance-based rPPG[J]. IEEE Transactions on Bio-Medical Engineering, 60, 2878-2886(2013).

[6] Poh M Z, McDuff D J, Picard R W. Non-contact, automated cardiac pulse measurements using video imaging and blind source separation[J]. Optics Express, 18, 10762-10774(2010).

[7] Zhao C C, Mei P Y, Xu S S et al. Performance evaluation of visual object detection and tracking algorithms used in remote photoplethysmography[C], 1646-1655(2019).

[8] Kwon S, Kim J, Lee D et al. ROI analysis for remote photoplethysmography on facial video[C], 4938-4941(2015).

[9] Wong K L, Chin J W, Chan T T et al. Optimising rPPG signal extraction by exploiting facial surface orientation[C], 2164-2170(2022).

[10] Tran Q V, Su S F, Tran M Q. Color distortion removal for heart rate monitoring in fitness scenario[C], 369-374(2019).

[11] Bobbia S, Macwan R, Benezeth Y et al. Unsupervised skin tissue segmentation for remote photoplethysmography[J]. Pattern Recognition Letters, 124, 82-90(2019).

[12] Wang W J, den Brinker A C, Stuijk S et al. Algorithmic principles of remote PPG[J]. IEEE Transactions on Bio-Medical Engineering, 64, 1479-1491(2017).

[13] Li X B, Chen J, Zhao G Y et al. Remote heart rate measurement from face videos under realistic situations[C], 4264-4271(2014).

[14] Sang H F, Jin Z Y. Heart rate detection based on illumination correction and local region of face[J]. Journal of Computer Applications, 38, 301-305(2018).

[15] Chen D Y, Wang J J, Lin K Y et al. Image sensor-based heart rate evaluation from face reflectance using Hilbert-Huang transform[J]. IEEE Sensors Journal, 15, 618-627(2015).

[16] Lee E, Chen E, Lee C Y, Vedaldi A, Bischof H, Brox T et al. Meta-rPPG: remote heart rate estimation using a transductive meta-learner[M]. Computer vision0ECCV 2020. Lecture notes in computer science, 12372, 392-409(2020).

[17] Lokendra B, Puneet G. AND-rPPG: a novel denoising-rPPG network for improving remote heart rate estimation[J]. Computers in Biology and Medicine, 141, 105146(2022).

[18] Ouzar Y, Djeldjli D, Bousefsaf F et al. X-iPPGNet: a novel one stage deep learning architecture based on depthwise separable convolutions for video-based pulse rate estimation[J]. Computers in Biology and Medicine, 154, 106592(2023).

[19] Yang Z, Wang H F, Lu F. Assessment of deep learning-based heart rate estimation using remote photoplethysmography under different illuminations[J]. IEEE Transactions on Human-Machine Systems, 52, 1236-1246(2022).

[20] Kossack B, Wisotzky E, Eisert P et al. Perfusion assessment via local remote photoplethysmography (rPPG)[C], 2191-2200(2022).

[21] Shi Y L, Qiu J, Peng L et al. A novel non-contact heart rate measurement method based on EEMD combined with FastICA[J]. Physiological Measurement, 44, 055002(2023).

[22] Amodio A, Ermidoro M, Maggi D et al. Automatic detection of driver impairment based on pupillary light reflex[J]. IEEE Transactions on Intelligent Transportation Systems, 20, 3038-3048(2019).

[23] Xu P. Design of electronic distorting mirror system based on kinect somatosensory interaction technology[D], 13-23(2019).

[24] Li Y J. Realizing Tiktok haha mirror effect: OpenCV Python development guide (47)[EB/OL]. https:∥blog.csdn.net/liyuanjinglyj/article/details/115091122

[25] Mahmoud T M. A new fast skin color detection technique[J]. World Academy of Science, Engineering and Technology, 43, 501-505(2008).

[26] Pang Y. Several commonly used color spaces for skin color detection[J]. Journal of Communication University of China (Science and Technology), 20, 54-58(2013).

[27] Zhang M, Duan K F. Improved research to K-means initial cluster centers[C], 349-353(2015).

[28] Bershad N J. Behavior of the ε-normalized LMS algorithm with Gaussian inputs[J]. IEEE Transactions on Acoustics, Speech, and Signal Processing, 35, 636-644(1987).

[29] Slock D T M. On the convergence behavior of the LMS and the normalized LMS algorithms[J]. IEEE Transactions on Signal Processing, 41, 2811-2825(1993).

[30] Wu F, Peng L, Han P et al. Research on non-contact heart rate measurement method based on self-optimizing normalized least mean square algorithm[J]. Laser & Optoelectronics Progress, 58, 2011004(2021).

[31] Zhang J. Research and implementation of echo cancellation based on NLMS algorithm[D], 20-25(2015).

[32] Shi Y L, Qiu J, Peng L et al. A non-contact heart rate measurement approach based on modified EEMD algorithm with updated white-noise iterating[J]. Journal of Physics: Conference Series, 2366, 012043(2022).