Pain detection through shape and appearance features

Proceedings - IEEE International Conference on Multimedia and Expo

Volumn , Issue , 2013, Pages

  Khan, Rizwan Ahmed ^a,b   Meyer, Alexandre ^a,b   Konik, Hubert ^a,c   Bouakaz, Saida ^a,c  

^a UNIVERSITÉ DE LYON   (France)

^b UNIVERSITÉ LYON 1   (France)

^c UNIVERSITÉ JEAN MONNET   (France)

Author keywords

classification; pain; PHOG; PLBP

Indexed keywords

COMPUTER VISION SYSTEM; HUMAN INTERVENTION; LOCAL BINARY PATTERNS; MEDICAL PRACTITIONER; ORIENTATION GRADIENTS; PAIN; PHOG; PLBP;

CLASSIFICATION (OF INFORMATION); COMPUTER VISION; CONTENT BASED RETRIEVAL; EXHIBITIONS; PATIENT MONITORING;

HEALTH;

EID: 84885648954     PISSN: 19457871     EISSN: 1945788X     Source Type: Conference Proceeding    
DOI: 10.1109/ICME.2013.6607608     Document Type: Conference Paper

References (31)

1. G. Littlewort, M. S. Bartlett, I. Fasel, J. Susskind, and J. Movellan, "Dynamics of facial expression extracted automatically from video, " Image and Vision Computing, vol. 24, pp. 615-625, 2006.
2. G. Zhao and M. Pietik̈ainen, "Dynamic texture recognition using local binary patterns with an application to facial expressions, " IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 29, pp. 915-928, 2007.
3. R. A. Khan, A. Meyer, H. Konik, and S. Bouakaz, "Human vision inspired framework for facial expressions recognition, " in IEEE International Conference on Image Processing, 2012.
4. M. Pantic and I. Patras, "Dynamics of facial expression: recognition of facial actions and their temporal segments from face profile image sequences, " IEEE Transactions on Systems, Man, and Cybernetics, vol. 36, pp. 433-449, 2006.
5. M.F. Valstar, I. Patras, and M. Pantic, "Facial action unit detection using probabilistic actively learned support vector machines on tracked facial point data, " in IEEE Conference on Computer Vision and Pattern Recognition Workshop, 2005, pp. 76-84.
6. R. A. Khan, M. Alexandre, H. Konik, and S. Bouakaz, "Framework for reliable, real-time facial expression recognition for low resolution images, " Pattern Recognition Letters, vol. 34, pp. 1159-1168, 2013.
7. G. Littlewort, M. S. Bartlett, and K. Lee, "Faces of pain: automated measurement of spontaneous facial expressions of genuine and posed pain, " in 9th international conference on Multimodal interfaces, 2007.
8. P. Lucey, J. F. Cohn, I. Matthews, S. Lucey, S. Sridharan, J. Howlett, and K.M. Prkachin, "Automatically detecting pain in video through facial action units, " IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 41, no. 3, pp. 664-674, june 2011.
9. A.B. Ashraf, S. Lucey, J. F. Cohn, T. Chen, Z. Ambadar, K. M. Prkachin, and P. E. Solomon, "The painful face-pain expression recognition using active appearance models, " Image and Vision Computing, vol. 27, no. 12, pp. 1788-1796, 2009.
10. Z. Zhang and J. Zhang, "Driver fatigue detection based intelligent vehicle control, " in 18th International Conference on Pattern Recognition, 2006, vol. 2, pp. 1262-1265.
11. X. Fan, B. Yin, and Y. Sun, "Yawning detection for monitoring driver fatigue, " in International Conference on Machine Learning and Cybernetics, aug. 2007, vol. 2, pp. 664-668.
12. T. Hadjistavropoulos, K. D. Craig, and S.K. Lacelle, Pain: Psychological Perspectives, chapter Social influences and the communication of pain, pp. 87-112, 2004.
13. P. Ekman and W. Friesen, "The facial action coding system: A technique for the measurement of facial movements, " Consulting Psychologist, 1978.
14. M. Monwar and S. Rezaei, "Video analysis for view-based painful expression recognition, " in IEEE International Joint Conference on Neural Networks, 2008, pp. 3619-3626.
15. M. M. Monwar and S. Rezaei, "Appearance-based pain recognition from video sequences, " in International Joint Conference on Neural Networks, 2006, pp. 2429-2434.
16. J. Chen, X. Liu, P. Tu, and A. Aragones, "Person-specific expression recognition with transfer learning, " in IEEE International Conference on Image Processing (ICIP), 2012.
17. T. F Cootes, G. J. Edwards, and Taylor C. J., "Active appearance models, " in European Conference on Computer Vision, 1998.
18. Y. M. Lui, J.R. Beveridge, A.E. Howe, and L.D. Whitley, "Evolution strategies for matching active appearance models to human faces, " in International Conference on Biometrics: Theory, Applications, and Systems, 2007.
19. A. Bosch, A. Zisserman, and X. Munoz, "Representing shape with a spatial pyramid kernel, " in 6th ACM International Conference on Image and Video Retrieval, 2007, pp. 401-408.
20. P. Lucey, J. F. Cohn, K. M. Prkachin, P. E. Solomon, and I. Matthews, "Painful data: The UNBC-McMaster shoulder pain expression archive database, " in IEEE International Conference on Automatic Face and Gesture Recognition, 2011, pp. 57-64.
21. K. Prkachin, "The consistency of facial expressions of pain: a comparison across modalities, " Pain, vol. 51, pp. 297-306, 1992.
22. K. Prkachin and P. E. Solomon, "The structure, reliability and validity of pain expression: Evidence from patients with shoulder pain, " Pain, vol. 139, pp. 267-274, 2008.
23. T. Ojala, M. Pietik̈ainen, and D. Harwood, "A comparative study of texture measures with classification based on featured distribution, " Pattern Recognition, vol. 29, pp. 51-59, 1996.
24. T. Ojala, M. Pietik̈ainen, and T. M̈aenp̈äa, "Multiresolution gray-scale and rotation invariant texture classification with local binary patterns, " IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 24, pp. 971-987, 2002.
25. C. Shan, S. Gong, and P. W. McOwan, "Facial expression recognition based on local binary patterns: A comprehensive study, " Image and Vision Computing, vol. 27, pp. 803-816, 2009.
26. Wei Wang, Weimin Chen, and Dongxia Xu, "Pyramid-based multiscale lbp features for face recognition, " in International Conference on Multimedia and Signal Processing (CMSP), 2011, vol. 1, pp. 151-155.
27. Zhenhua Guo, Lei Zhang, D. Zhang, and Xuanqin Mou, "Hierarchical multiscale lbp for face and palmprint recognition, " in IEEE International Conference on Image Processing, sept. 2010, pp. 4521-4524.
28. S. Moore and R. Bowden, "Local binary patterns for multi-view facial expression recognition, " Computer Vision and Image Understanding, vol. 115, no. 4, pp. 541-558, 2011.
29. Y. Bai, L. Guo, L. Jin, and Q. Huang, "A novel feature extraction method using pyramid histogram of orientation gradients for smile recognition, " in International Conference on Image Processing, 2009.
30. A. Dhall, A. Asthana, R. Goecke, and T. Gedeon, "Emotion recognition using PHOG and LPQ features, " in IEEE Automatic Face and Gesture Recognition Conference FG2011, Workshop on Facial Expression Recognition and Analysis Challenge FERA, 2011.
31. P. Viola and M. Jones, "Rapid object detection using a boosted cascade of simple features, " in IEEE Conference on Computer Vision and Pattern Recognition, 2001.