Behavioral state detection of newborns based on facial expression analysis

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5807 LNCS, Issue , 2009, Pages 698-709

  Hazelhoff, Lykele ^a,b   Han, Jungong ^a   Bambang Oetomo, Sidarto ^a,c   De With, Peter H N ^a,b  

^a EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b Cyclomedia Technology BV   (Netherlands)

^c MÁXIMA MEDICAL CENTER   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATED VIDEO; BEHAVIORAL STATE; FACIAL EXPRESSION ANALYSIS; FACIAL EXPRESSIONS; HIERARCHICAL CLASSIFIERS; INDEPENDENT SYSTEMS; LIGHTING CONDITIONS; MEDICAL TREATMENT; NEONATAL INTENSIVE CARE UNITS; PROTOTYPE SYSTEM; SURVEY SYSTEMS; VISUAL OBSERVATIONS;

ALGORITHMS; COMPUTER VISION; INTENSIVE CARE UNITS;

LIGHTING;

EID: 70649098259     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04697-1_65     Document Type: Conference Paper

References (16)

1. Grunau, R.V.E., Craig, K.D.: Pain expression in neonates: facial action and cry. Pain 28(3), 395-410 (1987)
2. Stevens, B., Johnston, C., Pethryshen, P., Taddio, A.: Premature Infant Pain Profile: Development and Initial Validation. Clin. J. Pain 12(1), 13-22 (1996)
3. Chen, K., Chang, S., Hsiao, T., Chen, Y., Lin, C.: A neonatal facial image scoring system (NFISS) for pain response studies. BME ABC, 79-85 (2005)
4. Brahnam, S., Chuang, C., Shih, F.Y., Slack, M.R.: Machine recognition and representation of neonatal facial displays of acute pain. Artificial Intelligence in Medicine 36(3), 211-222 (2006)
5. Brahnam, S., Chuang, C., Sexton, R.S., Shih, F.Y.: Machine assessment of neonatal facial expressions of acute pain. Special Issue on Decision Support in Medicine in Decision Support Systems 43, 1247-1254 (2007)
6. Peng, K., Chen, L.: A Robust Algorithm for Eye Detection on Gray Intensity Face without Spectacles. Journal of Computer Science and Technology, 127-132 (2005)
7. Vezhnevets, V., Degtiareva, A.: Robust and Accurate Eye Contour Extraction. In: Proc. Graphicon, pp. 81-84 (2003)
8. Asteriadis, S., Nikolaidis, N., Hajdu, A., Pitas, I.: A novel eye-detection algorithm utilizing edge-related geometrical information. In: EUSIPCO 2006 (2006)
9. Sohail, A.S.M., Bhattacharya, P.: Classification of facial expressions using k-nearest neighbor classifier. In: Gagalowicz, A., Philips, W. (eds.) MIRAGE 2007. LNCS, vol. 4418, pp. 555-566. Springer, Heidelberg (2007)
10. Michel, P., Kaliouby, R.: Real time facial expression recognition in video using support vector machines. In: ICMI (2003)
11. Ioannou, S.V., Raouzaiou, A.T., Tzouvaras, V.A., Mailis, T.P., Karpouzis, K.C., Kollias, S.D.: Emotion recognition through facial expression analysis based on a neurofuzzy network. Neural Networks 18, 423-435 (2005)
12. Tian, Y., Kanade, T., Cohn, J.F.: Recognizing action units for facial expression analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence 23(2), 97-115 (2001)
13. Chen, Q., Cham, W., Lee, K.: Extracting eyebrow contour and chin contour for face recognition. Pattern Recognition 40(8), 2292-2300 (2007)
14. Gomez, E., Travieso, C.M., Briceno, J.C., Ferrer, M.A.: Biometric identification system by lip shape, Security Technology (2002)
15. Leung, S., Wang, S., Lau, W.: Lip image segmentation using fuzzy clustering incorporating an elliptic shape function. IEEE Transactions on Image Processing 13(1), 51-61 (2004)
16. Gocke, R., Millar, J.B., Zelensky, A., Robert-Ribes, J.: Automatic extraction of lip feature points. In: Proc. of ACRA 2000, pp. 31-36 (2000)