Learning Pain from Emotion: Transferred HoT Data Representation for Pain Intensity Estimation

详细信息    查看全文

• 作者：Corneliu Florea (16)
  Laura Florea (16)
  Constantin Vertan (16)
  
  16. Image Processing and Analysis Laboratory ; University 鈥淧olitehnica鈥?of Bucharest ; Bucharest ; Romania
  
• 关键词：Histograms of Topographical features (HoT) ; Spectral regression ; Transfer learning ; Pain intensity estimation
• 刊名：Lecture Notes in Computer Science
• 出版年：2015
• 出版时间：2015
• 年：2015
• 卷：8927
• 期：1
• 页码：778-790
• 全文大小：651 KB
• 参考文献：1. Bay, H, Ess, A, Tuytelaars, T, Gool, LV (2008) Speeded-up robust features (SURF). CVIU 110: pp. 346-359
  2. Cai, D., He, X., Han, J.: Spectral regression for efficient regularized subspace learning. In: ICCV, pp. 1鈥? (2007)
  3. Chen, J., Liu, X., Tu, P., Aragones, A.: Person-specific expression recognition with transfer learning. In: ICIP, pp. 2621鈥?624 (2012)
  4. Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: CVPR, pp. 886鈥?93 (2005)
  5. Deng, H., Zhang, W., Mortensen, E., Dietterich, T., Shapiro, L.: Principal curvature-based region detector for object recognition. In: CVPR, pp. 2578鈥?585 (2007)
  6. Ekman, P., Friesen, W., Hager, J.: Facial action coding system, 2nd edn. Research Information, Salt Lake City (2002)
  7. Florack, L, Haar-Romeny, BM, Koenderink, J, Viergever, M (1992) Scale and the differential structure of images. Imag. and Vis. Comp. 10: pp. 376-388 CrossRef
  8. Frangi, AF, Niessen, WJ, Vincken, KL, Viergever, MA Multiscale vessel enhancement filtering. In: Wells, WM, Colchester, ACF, Delp, SL eds. (1998) Medical Image Computing and Computer-Assisted Intervention - MICCAI鈥?8. Springer, Heidelberg, pp. 130-137 CrossRef
  9. Gawande, A.: The Checklist Manifesto: How to Get Things Right. Metropolitan Books (2004)
  10. Hadjistavropoulos, T., Craig, K.:Social influences and the communication of pain. In: Pain: Psychological Perspectives, pp. 87鈥?12. Erlbaum, New York (2004)
  11. Hammal, Z, Kunz, M (1983) Pain monitoring: A dynamic and context-sensitive system. Pat. Rec. 45: pp. 1265-1280 CrossRef
  12. Haralick, R, Watson, L, Laffey, T (1983) The topographic primal sketch. The Intl. J. of Robotics Research 2: pp. 50-71 CrossRef
  13. Jiang, W, Chung, F Transfer spectral clustering. In: Flach, PA, Bie, T, Cristianini, N eds. (2012) Machine Learning and Knowledge Discovery in Databases. Springer, Heidelberg, pp. 789-803 CrossRef
  14. Kaltwang, S, Rudovic, O, Pantic, M Continuous pain intensity estimation from facial expressions. In: Bebis, G, Boyle, R, Parvin, B, Koracin, D, Fowlkes, C, Wang, S, Choi, M-H, Mantler, S, Schulze, J, Acevedo, D, Mueller, K, Papka, M eds. (2012) Advances in Visual Computing. Springer, Heidelberg, pp. 368-377 CrossRef
  15. Kanade, T., Cohn, J.F., Tian, Y.: Comprehensive database for facial expression analysis. In: FG, pp. 46鈥?3 (2000)
  16. Lee, W.T., Chen, H.T.: Histogram-based interest point detectors. In: CVPR, pp. 1590鈥?596 (2009)
  17. Littlewort, G., Bartlett, M., Lee, K.: Faces of pain: Automated measurement of spontaneous facial expressions of genuine and posed pain. In: ICMI, pp. 15鈥?1 (2007)
  18. Lowe, DG (2004) Distinctive image features from scale-invariant keypoints. IJCV 60: pp. 91-110 CrossRef
  19. Lucey, P., Cohn, J., Prkachin, K., Solomon, P., Matthews, I.: Painful data: The UNBC McMaster shoulder pain expression archive database. In: FG, pp. 57鈥?4 (2011)
  20. Lucey, P, Cohn, J, Prkachin, K, Solomon, P, Chew, S, Matthews, I (2012) Painful monitoring: Automatic pain monitoring using the UNBC-McMaster shoulder pain expression archive database. Imag. and Vis. Comp. 30: pp. 197-205 CrossRef
  21. Prkachin, K, Solomon, P (2008) The structure, reliability and validity of pain expression: Evidence from patients with shoulder pain. Pain 139: pp. 267-274 CrossRef
  22. Raina, R., Battle, A., Lee, H., Packer, B., Ng, A.: Self-taught learning: Transfer learning from unlabeled data. In: ICML, pp. 759鈥?66 (2007)
  23. Tuytelaars, T, Mikolajczyk, K (2008) Local invariant feature detectors: A survey. Foundations and Trends in Computer Graphics and Vision 3: pp. 177-280 CrossRef
  24. Wang, J, Yin, L (2007) Static topographic modeling for facial expression recognition and analysis. CVIU 108: pp. 19-34
  25. Werner, P., Al-Hamadi, A., Niese, R., Walter, S., Gruss, S., Traue, H.: Towards pain monitoring: Facial expression, head pose, a new database, an automatic system and remaining challenges. In: BMVC (2013)
  26. Zeng, Z, Pantic, M, Roisman, G, Huang, T (2009) A survey of affect recognition methods: Audio, visual, and spontaneous expressions. IEEE T. PAMI 31: pp. 39-58 CrossRef
  
• 作者单位：Computer Vision - ECCV 2014 Workshops
• 丛书名：978-3-319-16198-3
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

Automatic monitoring for the assessment of pain can significantly improve the psychological comfort of patients. Recently introduced databases with expert annotation opened the way for pain intensity estimation from facial analysis. In this contribution, pivotal face elements are identified using the Histograms of Topographical features (HoT) which are a generalization of the topographical primal sketch. In order to improve the discrimination between different pain intensity values and respectively the generalization with respect to the monitored persons, we transfer data representation from the emotion oriented Cohn-Kanade database to the UNBC McMaster Shoulder Pain database.