1. 1. J. A. Dominguez- Jimenez, K. C. Campo- Landines, J. C. Martinez-Santos, E. J. Delahoz, S. H. ContrerasOrtiz, “A machine learning model for emotion recognition from physiological signals”, Elsevier, 2020.
   2. Xin Xu, Yiwei Zhang, Minghong Tangn, Hong Gu, Shancheng Yan, and JieYang, “Emotion recognition based on double tree complex wavelet transform and machine learning in the internet of things”, IEEE Access, 2019.
   3. Guijun Chen, Xueying Zhang, Ying Sun, and Jing Zhang, “Emotion feature analysis and recognition based on reconstructed EEG sources”, IEEE Access, 2019. [4] Tengfei Song, Wenming Zheng, Cheng Lu, Yuan Zong, Xilei Zhang, and Zhen Cui, “MPED: A multimodal physiological emotion database for discrete emotion recognition”, IEEE Access, 2019.
   4. Amani Albraikan, Diana P. Tobon and AbdulmotalebEl Saddik, “Toward user-independent emotion recognition using physiological signals”, IEEE Sensors Journal, 2019.
   5. Chunmei Qing, Rui Qiao, Xiangmin Xu, and Yongqiang cheng, “Interpretable emotion recognition using EEG signals”, IEEE Transactions on multimedia,2019.
   6. R. Cowie, R.R. Cornelius, Describing the emotional states that are expressed in speech, Speech Commun. 40 (1–2) (2003) 5–32.
   7. M.A. Turk, A.P. Pentland, Face recognition using eigenfaces, in: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1991. Proceedings CVPR’91, IEEE, 1991, pp. 586–591.
   8. A.P. Atkinson, M.L. Tunstall, W.H. Dittrich, Evidence for distinct contributions of form and motion information to the recognition of emotions from body gestures, Cognition 104 (1) (2007) 59–72.
   9. A. Heraz, M. Clynes, Recognition of emotions conveyed by touch through force-sensitive screens: observational study of humans and machine learning techniques, JMIR Mental Health 5 (3) (2018), e10104, http://dx.doi.org/10. 2196/10104.
   10. N. Sebe, I. Cohen, T.S. Huang, Multimodal emotion recognition, in: Handbook of Pattern Recognition and Computer Vision, World Scientific, 2005, pp. 387– 409.
   11. M. Soleymani, M. Pantic, T. Pun, Multimodal emotion recognition in response to videos, IEEE Trans. Affect. Comput. 3 (2) (2012) 211–223.
   12. O. Alaoui-Ismaïli, O. Robin, H. Rada, A. Dittmar, E. Vernet-Maury, Basic emotions evoked by odorants: comparison between autonomic responses and selfevaluation, Physiol. Behav. 62 (4) (1997) 713–720.
   13. R.W. Levenson, L.L. Carstensen, W.V. Friesen, P. Ekman, Emotion, physiology, and expression in old age, Psychol. Aging 6 (1) (1991) 28.
   14. I.C. Christie, B.H. Friedman, Autonomic specificity of discrete emotion and dimensions of affective space: a multivariate approach, Int. J. Psychophysiol. 51 (2) (2004) 143–153.
   15. R.W. Picard, J. Healey, Affective wearables, Pers. Technol. 1 (4) (1997) 231–240.
   16. J. Scheirer, R. Fernandez, R.W. Picard, Expression glasses: a wearable device for facial expression recognition, in: CHI’99 Extended Abstracts on Human Factors in Computing Systems, ACM, 1999, pp. 262–263.
   17. A. Haag, S. Goronzy, P. Schaich, J. Williams, Emotion recognition using bio-sensors: first steps towards an automatic system, in: Tutorial and Research Workshop on Affective Dialogue Systems, Springer, 2004, pp. 36–48.
   18.  T. Hui, R. Sherratt, Coverage of emotion recognition for common wearable biosensors, Biosensors 8 (2) (2018) 30, http://dx.doi.org/10.3390/ bios8020030.
   19. W. Cai, Y. Li and X. Shao, Chemom. Intell. Lab. Syst., 2008, 90, 188–194