Facial Expression Recognition, Handbook of face recognition, pp.487-519, 2011. ,
DOI : 10.1007/978-0-85729-932-1_19
Automatic Recognition of Facial Actions in Spontaneous Expressions, Journal of Multimedia, vol.1, issue.6, pp.22-35, 2006. ,
DOI : 10.4304/jmm.1.6.22-35
Y. 3d facial expression recognition based on primitive surface feature distribution, Computer Vision and Pattern Recognition, pp.1399-1406, 2006. ,
URL : https://hal.archives-ouvertes.fr/in2p3-00296680
Spontaneous facial expression analysis based on temperature changes and head motions, Automatic Face and Gesture Recognition (FG), 2015 11th IEEE International Conference and Workshops on, pp.1-6, 2015. ,
Emotion recognition from electromyography and skin conductance, Proc. of the 5th International Workshop on Biosignal Interpretation, pp.219-222, 2005. ,
Emotion recognition based on physiological changes in music listening, IEEE transactions on pattern analysis and machine intelligence, vol.30, pp.2067-2083, 2008. ,
Toward machine emotional intelligence: analysis of affective physiological state, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.23, issue.10, pp.1175-1191, 2001. ,
DOI : 10.1109/34.954607
Effects of Work Stress on Ambulatory Blood Pressure, Heart Rate, and Heart Rate Variability, Hypertension, vol.35, issue.4, pp.880-886, 2000. ,
DOI : 10.1161/01.HYP.35.4.880
Heart rate variability as an index of regulated emotional responding., Review of General Psychology, vol.10, issue.3, p.229, 2006. ,
DOI : 10.1037/1089-2680.10.3.229
Heart rate variability: a noninvasive electrocardiographic method to measure the autonomic nervous system. Swiss medical weekly 134, pp.514-522, 2004. ,
Science of the heart: Exploring the role of the heart in human performance, 2001. ,
A comparison of photoplethysmography and ECG recording to analyse heart rate variability in healthy subjects, Journal of Medical Engineering & Technology, vol.44, issue.9367, pp.634-641, 2009. ,
DOI : 10.1007/s11517-006-0042-4
Photoplethysmography Revisited: From Contact to Noncontact, From Point to Imaging, IEEE Transactions on Biomedical Engineering, vol.63, issue.3, pp.463-477, 2016. ,
DOI : 10.1109/TBME.2015.2476337
Remote plethysmographic imaging using ambient light, Optics Express, vol.16, issue.26, pp.21434-21445, 2008. ,
DOI : 10.1364/OE.16.021434.m003
Unsupervised skin tissue segmentation for remote photoplethysmography, Pattern Recognition Letters, 2017. ,
DOI : 10.1016/j.patrec.2017.10.017
URL : https://hal.archives-ouvertes.fr/hal-01647490
Remote Photoplethysmography measurement using constrained ICA, 2017 E-Health and Bioengineering Conference (EHB), 2017. ,
DOI : 10.1109/EHB.2017.7995453
URL : https://hal.archives-ouvertes.fr/hal-01525755
Non-contact heart rate and heart rate variability measurements: A review, Biomedical Signal Processing and Control, vol.13, 2014. ,
DOI : 10.1016/j.bspc.2014.03.004
A Survey of Remote Optical Photoplethysmographic Imaging Methods. int. conf, of the IEEE Engineering in Medicine and Biology Society, 2015. ,
Rapid object detection using a boosted cascade of simple features, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, p.I?I, 2001. ,
DOI : 10.1109/CVPR.2001.990517
An iterative image registration technique with an application to stereo vision, 1981. ,
Detector adaptation by maximising agreement between independent data sources, 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-6, 2007. ,
DOI : 10.1109/CVPR.2007.383448
URL : http://doras.dcu.ie/437/1/ieee_otcbvs_2007.pdf
An advanced detrending method with application to HRV analysis Mika P. Tarvainen , Perttu O. Ranta-aho, and Pasi A, Karjalainen. IEEE Trans. on Biomedical Engineering, 2002. ,
DOI : 10.1109/10.979357
Robust Pulse Rate From Chrominance-Based rPPG, IEEE Transactions on Biomedical Engineering, vol.60, issue.10, pp.2878-2886, 2013. ,
DOI : 10.1109/TBME.2013.2266196
Recognizing Emotions Induced by Affective Sounds through Heart Rate Variability, IEEE Transactions on Affective Computing, vol.6, issue.4, pp.385-394, 2015. ,
DOI : 10.1109/TAFFC.2015.2432810