1. [1] یونسی هروی، محمد امین، خلیل زاده، محمدعلی، صرافان، رسول، آذرنوش، مهدی، "تشخیص دروغ بر مبنای سیگنالهای فوتوپلتیسموگراف و مقاومت الکتریکی پوست با استفاده از شبکه عصبی"، دو فصل نامه علمی پژوهشی پردازش علائم و داده ها، شماره 2، ش.ص 49-60، 1391.
2. [2] A. M. Andrew, "An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods by Nello Christianini and John Shawe-Taylor, Cambridge University Press, Cambridge, 2000, xiii+ 189 pp., ISBN 0-521-78019-5 (Hbk,£ 27.50)," ed: Cambridge Univ Press, 2000. [
DOI:10.1017/S0263574700232827]
3. [3] N. r. Council, The polygraph and lie detection: National Academies Press, 2003.
4. [4] A. B. Dollins, V. L. Cestaro, and D. J. Pettit, "Efficacy of repeated psychophysiological detection of deception testing," Journal of Forensic Science, vol. 43, pp. 1016-1023, 1998. [
DOI:10.1520/JFS14350J] [
PMID]
5. [5] H. Dong, "Discriminant feature analysis for pattern recognition," 2010.
6. [6] http://en.wikipedia.org/wiki/AdaBoost#The_algorithm_for_the_binary_classification_task.
7. [7] M. Handler and R. Nelson, "Utah approach to comparison question polygraph testing," European Polygraph, vol. 2, 2008. [
PMCID]
8. [8] J. C. Harris and A. D. McQuarrie, "The preliminary credibility assessment system embedded algorithm description and validation results," Johns Hopkins University Applied Physics Laboratory Report Number GED, 2009.
9. [9] P. Karthikeyan, M. Murugappan, and S. Yaacob, "A review on stress inducement stimuli for assessing human stress using physiological signals," in Signal Processing and its Applications (CSPA), 2011 IEEE 7th International Colloquium on, 2011, pp. 420-425. [
DOI:10.1109/CSPA.2011.5759914]
10. [10] J. Kircher and D. Raskin, "The computerized polygraph system II (Software version 4.01)," Salt Lake City: Scientific Assessment Technologies, 2003. [
PMCID]
11. [11] D. Krapohl, B. Stern, and Y. Bronkema, "Numerical evaluation and wise decisions," Polygraph, vol. 32, pp. 1-13, 2003.
12. [12] I. MathWorks, "MATLAB and Statistics Toolbox Release," ed: Natick, MA: The MathWorks, 2012.
13. [13] J. A. Matte, Forensic psychophysiology using the polygraph: Scientific truth verification, lie detection: JAM Publications, 1996.
14. [14] M. Ohsuga, F. Shimono, and H. Genno, "Assessment of phasic work stress using autonomic indices," International Journal of Psychophysiology, vol. 40, pp. 211-220, 2001. [
DOI:10.1016/S0167-8760(00)00189-6]
15. [15] D. E. Olsen, J. C. Harris, M. H. Capps, and N. Ansley, "Computerized polygraph scoring system," Journal of Forensic Science, vol. 42, pp. 61-71, 1997. [
DOI:10.1520/JFS14068J]
16. [16] P. Pandey, E. K. Lee, and D. Pompili, "A Distributed Computing Framework for Real-time Detection of Stress and of its Propagation in a Team," IEEE journal of biomedical and health informatics, vol. 20, pp. 1502-1512, 2016. [
DOI:10.1109/JBHI.2015.2477342] [
PMID]
17. [17] B. W. Party, "A review of the current scientific status and fields of application of polygraphic deception detection," London: British Psychological Society, 2004.
18. [18] S. C. Pauws and M. Biehl, "Insightful stress detection from physiology modalities using learning vector quantization," Neurocomputing, vol. 151, pp. 873-882, 2015. [
DOI:10.1016/j.neucom.2014.10.008]
19. [19] B. P. Robertson, "The Use of an Enhanced Polygraph Scoring Technique in Homeland Security: The Empirical Scoring System-Making a Difference," DTIC Document2012.
20. [20] Y. Shi, M. H. Nguyen, P. Blitz, B. French, S. Fisk, F. De la Torre, et al., "Personalized stress detection from physiological measurements," in International symposium on quality of life technology, 2010, pp. 28-29.
21. [21] H. Storm, "Development of emotional sweating in preterms measured by skin conductance changes," Early human development, vol. 62, pp. 149-158, 2001. [
DOI:10.1016/S0378-3782(01)00129-3]
22. [22] A. Vezhnevets and V. Vezhnevets, "GML AdaBoost Matlab Toolbox 0.3," MSU Graphics & Media Lab, Computer Vision Group, http://graphics. cs. msu. ru, 2009.
23. [23] K. Q. Weinberger, F. Sha, and L. K. Saul, "Learning a kernel matrix for nonlinear dimensionality reduction," in Proceedings of the twenty-first international conference on Machine learning, 2004, p. 106. [
DOI:10.1145/1015330.1015345]
24. [24] Q. Xu, T. L. Nwe, and C. Guan, "Cluster-based analysis for personalized stress evaluation using physiological signals," IEEE journal of biomedical and health informatics, vol. 19, pp. 275-281, 2015. [
DOI:10.1109/JBHI.2014.2311044] [
PMID]