Introduction to neonatal facial pain detection using common and advanced face classification techniques

Studies in Computational Intelligence

Volumn 48, Issue , 2007, Pages 225-253

  Brahnam, Sheryl ^a   Nanni, Loris ^b   Sexton, Randall ^a  

^a MISSOURI STATE UNIVERSITY   (United States)

^b UNIVERSITY OF BOLOGNA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 34247640819     PISSN: 1860949X     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-540-47527-9_9     Document Type: Article

References (71)

1. Stevens B, Johnston C, Gibbins S (2000) Pain assessment in neonates. In: Anand KJS, Stevens BJ, McGrath PJ (eds) Pain in neonates: 2nd revised and enlarged edition. Elsevier, New York, pp 101-134
2. Wong D, Baker C (1988) Pain in children: Comparison of assessment scales. Pediatr Nurs 14(1): 9-17
3. Grunau RE (2000) Long-term consequences of pain in human neonates. In: Anand KJS, Stevens BJ, McGrath PJ (eds) Pain in neonates: 2nd revised and enlarged edition. Elsevier, New York, pp 55-76
4. Coffman S, Alvarez Y, Pyngolil M, Petit R, Hall C, Smyth M (1997) Nursing assessment and management of pain in critically ill children. Heart Lung 26(3): 221-228
5. Van Cleve L, Johnson L, Pothier P (1996) Pain responses of hospitalized infants and children to venipuncture and intravenous cannulation. J Pediatr Nurs 11(3): 161-168
6. McGrath PA (1989) Pain in children: Nature, assessment, and treatment. Guildford Press, New York
7. Craig KD (1998) The facial display of pain in infants and children. In: Finley GA, McGrath PJ (eds) Measurement of pain in infants and children. IASP Press, Seattle, pp 103-121
8. Grunau RE, Grunau RVE, Craig KD (1987) Pain expression in neonates: Facial action and cry. Pain 28(3): 395-410
9. Prkachin KM, Solomon P, Hwang T, Mercer SR (2001) Does experience influence judgments of pain behaviour? Evidence from relatives of pain patients and therapists. Pain Res Manag 6(2): 105-112
10. McDowell I, Newall C (1996) Measuring health: A guide to rating scales and questionnaires. Oxford University Press, Oxford
11. Xavier Balda R, Guinsburg R, de Almeida MFB, de Araujo CP, Miyoshi MH, Kopelman BI (2000) The recognition of facial expression of pain in full-term newborns by parents and health professionals. Arch Pediatr Adolesc Med 154(10): 1009-1016
12. Lindh V, Wiklund U, Håkansson S (1999) Heel lancing in term new-born infants: An evaluation of pain by frequency domain analysis of heart rate variability. Pain 80(1-2): 143-148
13. Petroni M, Malowany A, Johnston C, Stevens B (1995) Identification of pain from infant cry vocalizations using artificial neural networks (ANNS). Int Soc Opt Eng 2492: 729-738
14. Brahnam S, Chuang C-F, Sexton R, Shih FY, Slack MR (in press) Machine assessment of neonatal facial expressions of acute pain. Decis Support Syst
15. Brahnam S, Chuang C-F, Shih FY, Slack MR (2006) Machine recognition and representation of neonate facial displays of acute pain. Artif Intell Med 36(3): 211-222
16. Zhao W, Chellappa R, Phillips PJ, Rosenfeld A (2000) Face recognition: A literature survey. ACM Comput Surv 35(4): 399-458
17. Moghaddam B, Yang M-H (2002) Learning gender with support faces. IEEE Trans PAMI 24(5): 306-311
18. O'Toole AJ, Abdi H, Deffenbacher KA, Bartlett JC (1991) Classifying faces by race and sex using an autoassociative memory trained for recognition. In: 13th annual conference on cognitive science. Hillsdale, NJ, pp 847-851
19. O'Toole AJ, Deffenbacher KA (1997) The perception of face gender: The role of stimulus structure in recognition and classification. Mem Cog 26: 146-160
20. Ekman P, Huang TS, Sejnowski TJ, Hager JC, Golomb B (1992) Final report to NSF of the planning workshop on facial expression understanding. Available at http://face-and-emotion.com/dataface/nsfrept/references.html
21. Gunaratne P, Sato Y (2003) Estimation of asymmetry in facial actions for the analysis of motion dysfunction due to paralysis. Int J Image Graph 3(4): 639-652
22. Lanitis A, Taylor CJ, Cootes TF (1997) Automatic interpretation and coding of face images using flexible models. IEEE Trans PAMI 19(7): 743-756
23. Burton AM, Bruce V, Dench N (1993) What's the difference between men and women? Evidence from facial measurement. Perception 22(2): 153-176
24. Valentin D, Abdi H, O,Toole AJ, Cottrell GW (1994) Connectionist models of face processing: A survey. Pattern Recognit 27(9): 1209-1230
25. Brunelli R, Poggio T (1993) Face recognition: Features versus templates. IEEE Trans PAMI 15(10): 1042-1052
26. Narendra PM, Fukunaga K (1977) A branch and bound algorithm for feature subset selection. IEEE Trans Comput 26: 917-922
27. Whitney A (1971) A direct method of nonparametric measurement selection. IEEE Trans Comput 20: 1100-1103
28. Pudil P, Novovicova J, Kittler J (1994) Floating search methods in feature selection. Pattern Recognit Lett 5(11): 1119-1125
29. Egmont-Petersen M, Dassen WRM, Reiber JHC (1999) Sequential selection of discrete features for neural networks: A bayesian approach to building a cascade. Pattern Recognit Lett 20(11-13): 1439-1448
30. Guyon I, Elisseeff A (2003) An introduction to variable and feature selection. J Mach Learn Res 3: 1157-1182
31. Kudo M, Sklansky J (2000) Comparison of algorithms that select features for pattern classifiers. Pattern Recognit 33(1): 25-41
32. Devijver PA, Kittler J (1982) Pattern recognition: A statistical approach. Prentice Hall, Englewood Cliffs
33. Jain A, Zongker D (1997) Feature selection: Evaluation, application, and small sample performance. IEEE Trans PAMI 19(2): 153-158
34. Swets DL, Weng J (1996) Using discriminant eigenfeatures for image retrieval. IEEE Trans PAMI 18(8): 831-837
35. Turk MA, Pentland AP (1991) Eigenfaces for recognition. J Cogn Neurosci 3(1): 71-86
36. Turk MA, Pentland AP (1991) Face recognition using eigenfaces. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Silver Spring, MD, pp 586-591
37. Jain A, Huang J (2004) Integrating independent components and linear discriminant analysis for gender classification. In: The sixth IEEE international conference on automatic face and gesture recognition, pp 159-163
38. Valentin D, Abdi H, Edelman BE, O'Toole AJ (1997) Principal component and neural network analyses of face images: What can be generalized in gender classification? J Math Psychol 41(4): 398-413
39. Lu X, Jain AK (2004) Ethnicity identification from face images. In: SPIE: Biometric Technology for Human Identification, pp 114-123
40. Cottrell GW, Metcalfe J (1991) Empath: Face, emotion, and gender recognition using holons. In: Touretzky D (ed) Advances in neural information processing systems. Morgan & Kaufman, San Mateo, CA, pp 564-571
41. Martinez AM, Benavente R (1998) The AR face database. CVC technical report #24. Available at http://rvl1.ecn.purdue.edu/~aleix/aleix face DB.html
42. Padgett C, Cottrell GW (1998) A simple neural network models categorical perception of facial expressions. In: Proceedings of the 20th annual cognitive science conference. Madison, WI, pp 806-807
43. Edelman BE, Valentin D, Abdi H (1998) Sex classification of face areas: How well can a linear neural network predict human performance. J Biol Syst 6(3): 241-264
44. Cottrell GW, Fleming MK (1990) Face recognition using unsupervised feature extraction. In: International conference on neural networks, pp 322-325
45. Kohonen T (1977) Associative memory: A system theoretic approach. Springer, Berlin Heidelberg New York
46. Valentin D, Abdi H, O'Toole AJ (1994) Categorization and identification of human face images by neural networks: A review of the linear autoassociative and principal component approaches. J Biol Syst 2(3): 413-429
47. Oja E (1992) Principal components, minor components and linear neural networks. Neural Netw 5: 927-935
48. Chellappa R, Wilson CL, Sirohey S (1995) Human and machine recognition of faces: A survey. Proc IEEE 83: 705-740
49. Lin SH, Kung SY, Lin LJ (1997) Face recognition/detection by probabilistic decision based neural network. IEEE Trans Neural Netw 8(1): 114-132
50. Sexton R, Dorsey R, Sikander N (2004) Simultaneous optimization of neural network function and architecture algorithm. Decis Support Syst 36: 283-296
51. Sexton RS, Dorsey RE, Johnson JD (1998) Toward a global optimum for neural networks: A comparison of the genetic algorithm and backpropagation. Decis Support Syst 22: 171-185
52. Sexton RS, Sriram RS, Etheridge H (2003) Improving decision effectiveness of artificial neural networks - A modified genetic algorithm approach. Decis Sci 34(3): 421-442
53. Brahnam S, Sexton R, Slack MR (in review) Recognizing neonatial facial expressions of pain using a neural network simultaneous optimization algorithm
54. Sexton RS, Dorsey RE (2000) Reliable classification using neural networks: A genetic algorithm and backpropagation comparison. Decis Support Syst 30: 11-22
55. Heisele B, Ho P, Poggio T (2001) Face recognition with support vector machines: Global versus component-based approach. In: The eighth IEEE international conference on computer vision, Vancouver, pp 688-694
56. Moghaddam B, Yang M-H (2000) Gender classification with support vector machines. In: The sixth IEEE international conference on automatic face and gesture recognition, pp 306-311
57. Phillips PJ (1998) Support vector machines applied to face recognition. Adv Neural Inf Process Syst 11: 803-809
58. Guo G, Li SZ, Chan KL (2001) Support vector machines for face recognition. Image Vis Comput 19: 631-638
59. Ahmed N, Natarajan T, Rao KR (1972) On image processing and a discrete cosine transform. IEEE Trans Comp 23(1): 90-93
60. Pan Z, Rust A, Bolouri H (2000) Image redundancy reduction for neural network classification using discrete cosine transforms. In: International joint conference on neural networks. Como, Italy, pp 149-154
61. Kohir VV, Desai UB (2000) Face recognition. IEEE Int Symp Circ Syst 5: 305-308
62. Kosugi M (1995) Human-face search and location in a scene by multi-pyramid architecture for personal identification. Syst Comput Jpn 26(6): 27-38
63. Sirovich L, Kirby M (1987) Low dimensional procedure for the characterization of human faces. J Opt Soc Am 4(3): 519-524
64. Belhumeur P, Hespanha J, Kriegman D (1997) Eigenfaces vs. fisherfaces: Recognition using class specific linear projection. IEEE Trans PAMI 19(7): 711-720
65. Martinez AM, Kak AC (2001) Pca versus ldas. IEEE Trans PAMI 23(2): 228-233
66. Vapnik VN (1995) The nature of statistical learning theory. Springer, Berlin Heidelberg New York
67. Cristianini N, Shawe-Taylor J (2000) An introduction to support vector machines and other kernel-based learning methods. Cambridge University Press
68. The MathWorks (2000) Using matlab: The language of technical computing. The Mathworks, Inc., Natick, MA
69. van der Heijden F, Duin RPW, de Ridder D, Tax DMJ (2004) Classification, parameter estimation, and state estimation: An engineering approach using matlab. Wiley, Chichester
70. Grunau RVE, Johnston CC, Craig KD (1990) Neonatal facial and cry responses to invasive and non-invasive procedure. Pain 42(3): 295-305
71. Warnock F, Sandrin D (2004) Comprehensive description of newborn distress behavior in response to acute pain (newborn male circumcision). Pain 107(3): 242-255