A Facial Image Analysis based Algorithm to Detect Human Personality
Abstract
Human personality plays an essential role in many fields of life. Facial features are used for, but are not limited, to different face recognition, pain detection, spontaneous and non-spontaneous action detection and personality detection systems. The main objective of this study is to judge human personality through facial features. Normalized facial images are used as an input. Interest points and features are extracted using Convolution Neural Network and distance metrics. Human personality is predicted using rule based classification. An accuracy of 84% for personality prediction with 8 fold cross validation is achieved.
References
References
X. Jiang and Y.-F. Chen, "Facial image processing", Appl. Pattern Recogn., Springer. p. 29-48, 2008.
M. G. Rothstein and R. D. Goffin, "The use of personality measures in personnel selection: What does current research support?", HRMR, vol. 16, no. 2, pp. 155-180, Month 2006.
C. R. Kumar, P. G. Chandra, and R. Narayana, "Future path way to biometric", IJBB), vol. 5, no. 3, pp. 180, Month 2011.
P. Ekman, T. S. Huang, T. J. Sejnowski, and J. C. Hager, "Final report to NSF of the planning workshop on facial expression understanding", Human Interaction Laboratory, University of California, San Francisco, vol. 378, Month 1993.
R.P. Tett and N.D. Christiansen, "Personality assessment in organizations", Pers. Measure. Assess, pp. 720-742, Month 2008.
G. Louch, J. O’Hara, P. Gardner and D. B. O’Connor, "The daily relationships between staffing, safety perceptions and personality in hospital nursing: A longitudinal on-line diary study", Int. J. of Nursing Studies, vol. 59, pp. 27-37, Month 2016.
J. M. Williamson, J. W. Lounsbury and L. D. Han, "Key personality traits of engineers for innovation and technology development", J. Engg. and Tech. Manage., vol. 30, no. 2, pp. 157-168, Month 2013.
J. Cohen, Y. Ding, C. Lesage and H. Stolowy, "Corporate fraud and managers’ behavior: Evidence from the press", Entrepreneurship, Governance and Ethics 2012, Springer. p. 271-315.
J. L. Van Gelder and R. E. De Vries, "Traits and states: Integrating personality and affect into a model of criminal decision making", Criminology, vol. 50, no. 3, pp. 637-671, 2012.
K. Z. Hussain, M. Durairaj, and G. R. J. Farzana, "Criminal behavior analysis by using data mining techniques", IEEE Int. Conf. Advances in Engineering, Science and Management (ICAESM), pp. 656-658, 2012.
O. Scekic, M. Riveni, H.-L. Truong and S. Dustdar, "Social interaction analysis for team collaboration", Encyclopedia of Social Network Analysis and Mining, Springer. pp. 1807-1819, 2014.
A. V. Smith, L. Proops, K. Grounds, J. Wathan, and K. McComb, "Functionally relevant responses to human facial expressions of emotion in the domestic horse (Equus caballus)", Biol. Lett., vol. 12, vol. 2, pp. 20150907, 2016.
M. Turk, "Over twenty years of eigenfaces", ACM TOMM, vol. 9, no. 1s, pp. 45, 2013.
J. H. Shah, M. Sharif, M. Raza, and A. Azeem, "A Survey: Linear and Nonlinear PCA Based Face Recognition Techniques", Int. Arab J. Inf. Technol., vol. 10, no. 6, pp. 536-545, 2013.
Z. Chai, Z. Sun, H. Méndez-Vázquez, R. He, and T. Tan, "Gabor ordinal measures for face recognition", IEEE T. Inf.. Foren. Sec., vol. 9, no. 1, pp. 14-26, 2014.
E. Hjelmås and B. K. Low, "Face detection: A survey", Comput. Vis. Image Und., vol. 83, no. 3, pp. 236-274, Month 2001.
H. A. Rowley, S. Baluja and T. Kanade, "Neural network-based face detection", IEEE T Pattern Anal., vol. 20, no. 1, pp. 23-38, 1998.
L. Ma and K. Khorasani, "Facial expression recognition using constructive feedforward neural networks", IEEE T Syst. Man Cyb., Part B (Cybernetics), vol. 34, no. 3, pp. 1588-1595, 2004.
S. Qatawneh, S. S. Ipson, R.S. Qahwaji and H. Ugail, "3D face recognition based on machine learning", 2008.
C. Nass and K. M. Lee, "Does computer-synthesized speech manifest personality? Experimental tests of recognition, similarity-attraction, and consistency-attraction", J. Exper. Psychol-Appl., vol. 7, no. 3, pp. 171-181, 2001.
V. Bruce and A. Young, "Understanding face recognition", Brit. J. Psychol., vol. 77, no. 3, pp. 305-327, 1986.
R. R. McCrae and P. T. Costa, "Validation of the five-factor model of personality across instruments and observers", J. Pers. Soc. Psychol., vol. 52, no. 1, pp. 81-90, 1987.
S. Hu, J. Xiong, P. Fu, L. Qiao, J. Tan, L. Jin, and K. Tang, "Signatures of personality on dense 3D facial images", bioRxiv, pp. 055590, Month 2016.
T. A. Judge and J. E. Bono, "Five-factor model of personality and transformational leadership", J. Appl. Psychol., vol. 85, no. 5, pp. 751, 2000.
P. Lucey, J. F. Cohn, T. Kanade, J. Saragih, Z. Ambadar and I. Matthews, "The extended cohn-kanade dataset (ck+): A complete dataset for action unit and emotion-specified expression", IEEE Computer Society Conference on Computer Vision and Pattern Recognition-Workshops, pp. 94-101, 2010.
M. Viola, M. J. Jones, and P. Viola, "Fast multi-view face detection", Proc. of Computer Vision and Pattern Recognition, Citeseer, pp. 14-21, 2003.
M. Bhelande, A. Krishnan, A. Bharadwaj, N. Palecha, and Y. Tawade, "Prediction of Facial Key points in Images Using Neural Networks", IJARCCE, vol. 5, no. 4, pp. 93-94, 2016.
T. Bradberry, The Personality Code: Unlock the Secret to Understanding Your Boss, Your Colleagues, Your Friends--and Yourself: Penguin, 2007 (Book).
