References

Abdi, H. and L.J. Williams, 2010. Principal component analysis. Wiley Interdiscipl. Rev.: Comput. Stat., 2: 433-459.
CrossRef  |  Direct Link  |  

Allaert, B., J. Mennesson, I.M. Bilasco and C. Djeraba, 2018. Impact of face registration techniques on facial expression recognition. Signal Process. Image Commun., 61: 44-53.
Direct Link  |  

Ane, T. and F.K. Patwary, 2016. Performance analysis of similarity coefficient feature vector on facial expression recognition. Procedia Eng., 144: 444-451.
CrossRef  |  Direct Link  |  

Barnes, V.A., M.H. Johnson, R.B. Williams and V.P. Williams, 2012. Impact of Williams LifeSkills® training on anger, anxiety and ambulatory blood pressure in adolescents. Transl. Behave. Med., 2: 401-410.
PubMed  |  Direct Link  |  

Booth, J., 1977. A short history of blood pressure measurement. Proc. Royal Soc. Med., 70: 793-799.
PubMed  |  Direct Link  |  

Coomans, D. and D.L. Massart, 1982. Alternative K-nearest neighbour rules in supervised pattern recognition: Part 1, K-nearest neighbour classification by using alternative voting rules. Anal. Chim. Acta, 136: 15-27.
CrossRef  |  Direct Link  |  

Dalal, N. and B. Triggs, 2005. Histograms of oriented gradients for human detection. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005) Vol. 1, June 20-25, 2005, IEEE, San Diego, California, USA., ISBN:0-7695-2372-2, pp: 886-893.

Delgado, L.C., J. Vila and G.A.R. del Paso, 2014. Proneness to worry is negatively associated with blood pressure and baroreflex sensitivity: Further evidence of the blood pressure emotional dampening hypothesis. Biol. Psycho., 96: 20-27.
CrossRef  |  PubMed  |  Direct Link  |  

Deng, H.B., L.W. Jin, L.X. Zhen and J.C. Huang, 2005. A new facial expression recognition method based on local Gabor Filter bank and PCA plus LDA. Intl. J. Inf. Technol., 11: 86-96.
Direct Link  |  

Forouzanfar, M., H.R. Dajani, V.Z. Groza, M. Bolic and S. Rajan et al., 2015. Oscillometric blood pressure estimation: Past, present and future. IEEE. Rev. Biomed. Eng., 8: 44-63.
CrossRef  |  Direct Link  |  

James, G.D., L.S. Yee, G.A. Harshfield, S.G. Blank and T.G. Pickering, 1986. The influence of happiness, anger and anxiety on the blood pressure of borderline hypertensives. Psychosomatic Med., 48: 502-508.
PubMed  |  Direct Link  |  

Klabunde, R.E., 2007. Cardiovascular Physiology Concepts. 2nd Edn., Lippincott William & Wilkins, Philadelphia, Pennsylvania, USA., Pages: 243.

Nugrahaeni, R.A. and K. Mutijarsa, 2016. Comparative analysis of machine learning KNN, SVM and random forests algorithm for facial expression classification. Proceedings of the 2016 International Seminar on Application for Technology of Information and Communication (ISemantic), August 5-6, 2016, IEEE, Semarang, Indonesia, ISBN:978-1-5090-2327-1, pp: 163-168.

Oatley, K. and E. Duncan, 1994. The experience of emotions in everyday life. Cognition Emotion, 8: 369-381.
CrossRef  |  Direct Link  |  

Rowe, A.D. and J. Fitness, 2018. Understanding the role of negative emotions in adult learning and achievement: A social functional perspective. Behav. Sci., 8: 1-19.
CrossRef  |  PubMed  |  Direct Link  |  

Sanchez-Gonzalez, M.A., R.W. May, A.P. Koutnik and F.D. Fincham, 2015. Impact of negative affectivity and trait forgiveness on aortic blood pressure and coronary circulation. Psychophysiology, 52: 296-303.
CrossRef  |  PubMed  |  Direct Link  |  

Sariyanidi, E., H. Gunes and A. Cavallaro, 2015. Automatic analysis of facial affect: A survey of registration, representation and recognition. IEEE. Trans. Pattern Anal. Mach. Intell., 37: 1113-1133.
CrossRef  |  Direct Link  |  

Sun, Y. and G. Wen, 2017. Cognitive facial expression recognition with constrained dimensionality reduction. Neurocomputing, 230: 397-408.
CrossRef  |  Direct Link  |  

Takalkar, M.A. and M. Xu, 2017. Image based facial micro-expression recognition using deep learning on small datasets. Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA), November 29-December 1, 2017, IEEE, Sydney, Australia, ISBN:978-1-5386-2840-9, pp: 1-7.

Viera, A.J. and J.M. Garrett, 2005. Understanding interobserver agreement: The kappa statistic. Fam Med., 37: 360-363.
Direct Link  |  

Yusuf, S. and E. Lonn, 2016. The SPRINT and the HOPE-3 trial in the context of other blood pressure-lowering trials. JAMA. Cardiol., 1: 857-858.
CrossRef  |  PubMed  |  Direct Link  |  

Zhang, B., Y. Gao, S. Zhao and J. Liu, 2010. Local derivative pattern versus local binary pattern: Face recognition with high-order local pattern descriptor. IEEE. Trans. Image Process., 19: 533-544.
CrossRef  |  PubMed  |  Direct Link  |  

Zhang, L. and D. Tjondronegoro, 2011. Facial expression recognition using facial movement features. IEEE. Trans. Affective Comput., 2: 219-229.
CrossRef  |  Direct Link  |