Assessment of Pain Using Facial Pictures Taken with a Smartphone

Proceedings - International Computer Software and Applications Conference

Volumn 2, Issue , 2015, Pages 726-731

  Adibuzzaman, Mohammad ^a   Ostberg, Colin ^a   Ahamed, Sheikh ^a   Povinelli, Richard ^b   Sindhu, Bhagwant ^c   Love, Richard ^d   Kawsar, Ferdaus ^a   Ahsan, Golam Mushih Tanimul ^a  

^a MARQUETTE UNIVERSITY   (United States)

^b Marquette University   (United States)

^c UNIVERSITY OF WISCONSIN MILWAUKEE   (United States)

^d International Breast Cancer Foundation   (United States)

Author keywords

Automatic pain assessment; Quality of life; Remote monitoring

Indexed keywords

APPLICATION PROGRAMS; COMPUTER SOFTWARE; DECISION MAKING; FACE RECOGNITION; SMARTPHONES; SUPPORT VECTOR MACHINES;

APPLICATION SCENARIO; AUTOMATIC PAIN ASSESSMENT; CLINICAL DECISION MAKING; CROSS-SECTIONAL STUDY; EXPRESSION RECOGNITION; QUALITY OF LIFE; REMOTE MONITORING; SUPPORT VECTOR MACHINE (SVMS);

HEALTH;

EID: 84962163777     PISSN: 07303157     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/COMPSAC.2015.150     Document Type: Conference Paper

References (30)

1. R. Twycross and S. Fairfield, "Pain in far-advanced cancer," Pain, vol. 14, pp. 303-310, 1982
2. S. Grossman and S. Nesbit, Cancer Pain in Clinical Oncology, 3rd Edition, Philadelphia: Elsevier, Philadelphia., 2004
3. E. Au, C. Loprinzi, M. Dhodapkar, T. Nelson, P. Novotny, J. Hammack and J. O'Fallon, "Regular use of verbal pain scale improves the understanding of oncology inpatient pain intensity," J Clin Oncol, vol. 12, pp. 2751-2755, 1994
4. E. Bruera, N. Kuehn., P. Selmser and K. Macmillan, "The Edmonton Symptom Assessment System (ESAS): a simple method of the assessment of palliative care patients.," J Palliative Care, vol. 7, pp. 6-9., 1991
5. C. Cleeland and K. Ryan, " Pain assessment: global use of the Brief Pain Inventory," Annals Academy Med Singapore, vol. 23 , no. 2, pp. 129-138, 1994
6. M. M. Haque, F. Kawsar, M. Adibuzzaman, S. Ahamed., "Findings of e-ESAS: a mobile based symptom monitoring system for breast cancer patients in rural Bangladesh," in CHI, 2012
7. K. Prkachin, "Assessing pain by facial expression: facial expression as nexus," Pain Research &Management: The Journal of the Canadian Pain Society, vol. 14, no. 1, pp. 53-58, 2009
8. K. Prkachin and K. Craig, "Influencing non-verbal expressions of pain: Signal detection analyses," Pain, vol. 21, no. 4, pp. 399-409, 1985
9. P. Ekman and W. Friesen, Manual for the Facial Action Coding System, Palo Alto: Consulting Psychologists Press, 1978
10. K. Prkachin, "The consistency of facial expressions of pain: a comparison across modalities.," Pain, vol. 51, no. 3, pp. 297-306, 1992
11. P. Lucey, J. Cohn, K. Prkachin, P. Solomon, S. Chen and I. Mathews, "Painful monitoring: Automatic pain monitoring using the UNBC-McMaster shoulder pain expression archive database," Image and Vision Computing, pp. 197-205, 2012
12. K. Prkachin and P. Solomon, "The structure, reliability and validity of pain expression: Evidence from patients with shoulder pain," Pain, vol. 139, pp. 267-274, 2009
13. M. Monwar and S. Rezaei, "Pain Recognition Using Artificial Neural Network," in IEEE International Symposium on Signal Processing and Information Technology, Vancouver, BC, 2006
14. K. Boehner, R. DePaula, P. Dourish and P. Sengers, "How emotion is made and measured," International Journal of Human-Computer Studies, vol. 65, no. 4, 2007
15. S. Calvo R. and D. Mello, "Affect Detection: An interdsciplinary Review of Models, Methods and Their Applications," IEEE Transactions on Affective Computing, vol. 1, no. 1, 2010
16. Z. Zeng, M. Pantic, G. Roisman and T. Huang, "A survey of affect recognition methods: audio, visual and spontaneous expressions," IEEE Transactions of pattern analysis and machine intelligence, vol. 31, no. 1, 2009
17. X. Zhu, "Face detection, pose estimation, and landmark localization in the wild," 2012
18. S. Brahnam, L. Nanni and R. Sexton, "Introduction to neonatal facial pain detection using common and advanced face classification techniques," Stud. Comput. Intel, vol. 48, pp. 225-253, 2007
19. S. Brahnam, C. Chuang, F. Shih and M. Slack, "Machine recognition and representation of neonatal facial displays of acute pain," Artif. Intel. Med., vol. 36, pp. 211-222, 2006
20. M. Monwar and S. Rezaei, "Appearance-based Pain Recognition from Video Sequences.," IJCNN, pp. 2429-2434, 2006
21. M. Monwar, S. Rezaei and K. Prkachin, "Eigenimage Based Pain Expression Recognition," IAENG International Journal of Applied Mathematics, vol. 36, no. 2, 2006
22. R. Niese, A. Al-Hamadi, A. Panning, D. Brammen, U. Ebmeyer and B. Michaelis, "Towards Pain Recognition in Post-Operative Phases Using 3D-based Features From Video and Support Vector Machines," International Journal of Digital Content Technology and its Applications, vol. 3, no. 4, pp. 21-31, December 2009
23. D. Turk and R. Melzack, Handbook of Pain Assessment, New York, 2001
24. M. Turk and A. Pentland, "Eigenfaces for Recogntion," Journal of cognitive neuroscience, vol. 3, no. 1, 1991
25. A. Ashraf, S. Lucey, J. Cohn, T. Chen, Z. Ambadar, K. Prkachin, and B. Eheobald, "The Painful Face-Pain Expression Recognition Using Active Appearance Models," in ICMI, 2007
26. P. Becouze, C. Hann, J. Chase and G. Shaw, "Measuring facial grimacing for quantifying patient agitation in critical care.," Computer Methods and Programs in Biomedicine, vol. 87, no. 2, pp. 138-147, 2007
27. B. Gholami, W. Haddad and A. Tannenbaum, "Relevance Vector Machine Learning for Neonate Pain Intensity Assessment Using Digital Imagine," IEEE Trans. Biomed. Eng., 2010
28. H. Hadjistavropoulos and K. Craig, "Acute and chronic low back pain: Cognitive, affective, and behavioral dimensions," Journal of Consulting and Clinical Psychology, vol. 62, no. 2, p. 341, 1994
29. J. Raheja and U. Kumar, "Human facial expression detection from detected in capture image using back propagation neural network," International Journal of Computer Science &Information Technology, vol. 2, no. 1, pp. 116-123, Feb 2010
30. A. Ashraf, S. Lucey, J. Cohn, T. Chen, K. Prkachin and P. Solomon, "The painful face II-Pain expression recognition using active appearance models.," International Journal of Image and Vision Computing, vol. 12, no. 27, pp. 1788-1796, November 2009