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Volumn 2015-October, Issue , 2015, Pages 88-95

Spatiotemporal analysis of RGB-D-T facial images for multimodal pain level recognition

Author keywords

Calibration; Face; Face recognition; Feature extraction; Histograms; Pain; Spatiotemporal phenomena

Indexed keywords

CALIBRATION; COMPUTER VISION; FEATURE EXTRACTION; HEALTH;

EID: 84951947131     PISSN: 21607508     EISSN: 21607516     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2015.7301341     Document Type: Conference Paper
Times cited : (38)

References (44)
  • 1
    • 19844377516 scopus 로고    scopus 로고
    • The importance of facial dynamics in interpreting subtle facial expressions
    • Z. Ambadar, W. Schooler, and J. Cohn. The importance of facial dynamics in interpreting subtle facial expressions. Psychological Science, 16 (5): 403-410, 2005.
    • (2005) Psychological Science , vol.16 , Issue.5 , pp. 403-410
    • Ambadar, Z.1    Schooler, W.2    Cohn, J.3
  • 2
    • 11944264057 scopus 로고
    • Thin slices of expressive behavior as predictors of interpersonal consequences: A metaanalysis
    • 111
    • N. Ambady and R. Rosenthal. Thin slices of expressive behavior as predictors of interpersonal consequences: A metaanalysis. Psychological Bull., 111 (2): 256-274, 1992.
    • (1992) Psychological Bull , Issue.2 , pp. 256-274
    • Ambady, N.1    Rosenthal, R.2
  • 4
    • 0000544755 scopus 로고
    • Assessment of pain in animals
    • P. Bateson. Assessment of pain in animals. Animal Behaviour, 52: 827-839, 1991.
    • (1991) Animal Behaviour , vol.52 , pp. 827-839
    • Bateson, P.1
  • 5
    • 80052899249 scopus 로고    scopus 로고
    • Localizing parts of faces using a consensus of exemplars
    • IEEE
    • P. N. Belhumeur, D.W. Jacobs, D. Kriegman, and N. Kumar. Localizing parts of faces using a consensus of exemplars. In CVPR, pages 545-552. IEEE, 2011.
    • (2011) CVPR , pp. 545-552
    • Belhumeur, P.N.1    Jacobs, D.W.2    Kriegman, D.3    Kumar, N.4
  • 6
    • 33644893406 scopus 로고    scopus 로고
    • Machine recognition and representation of neonatal facial displays of acute pain
    • S. Brahnam, C.-F. Chuang, F. Y. Shih, and M. R. Slack. Machine recognition and representation of neonatal facial displays of acute pain. Artificial Intelligence in Medicine, 36 (3): 211-222, 2006.
    • (2006) Artificial Intelligence in Medicine , vol.36 , Issue.3 , pp. 211-222
    • Brahnam, S.1    Chuang, C.-F.2    Shih, F.Y.3    Slack, M.R.4
  • 7
    • 84897546038 scopus 로고    scopus 로고
    • The applicability of spatiotemporal oriented energy features to region tracking
    • K. Cannons and R.Wildes. The applicability of spatiotemporal oriented energy features to region tracking. IEEE Trans. Pattern Anal. Mach. Intell., 36 (4): 784-796, 2014.
    • (2014) IEEE Trans. Pattern Anal. Mach. Intell , vol.36 , Issue.4 , pp. 784-796
    • Cannons, K.1    Wildes, R.2
  • 8
    • 0030983572 scopus 로고    scopus 로고
    • Nursing assessment and management of pain in critically ill children
    • S. Coffman, Y. Alvarez, M. Pyngolil, R. Petit, C. Hall, and M. Smyth. Nursing assessment and management of pain in critically ill children. Heart Lung, 26 (221), 1997.
    • (1997) Heart Lung , vol.26 , Issue.221
    • Coffman, S.1    Alvarez, Y.2    Pyngolil, M.3    Petit, R.4    Hall, C.5    Smyth, M.6
  • 13
    • 84870190408 scopus 로고    scopus 로고
    • Automatic detection of pain intensity
    • ACM
    • Z. Hammal and J. F. Cohn. Automatic detection of pain intensity. In ACM-ICMI, pages 47-52. ACM, 2012.
    • (2012) ACM-ICMI , pp. 47-52
    • Hammal, Z.1    Cohn, J.F.2
  • 15
    • 83655201286 scopus 로고    scopus 로고
    • Pain monitoring: A dynamic and context-sensitive system
    • Z. Hammal and M. Kunz. Pain monitoring: A dynamic and context-sensitive system. Pattern Recognition, 45 (4): 1265-1280, 2012.
    • (2012) Pattern Recognition , vol.45 , Issue.4 , pp. 1265-1280
    • Hammal, Z.1    Kunz, M.2
  • 17
    • 0029024624 scopus 로고    scopus 로고
    • The sympathetic nervous system in pain
    • W. Janig. The sympathetic nervous system in pain. Eur. J. Anaesthesiol, (10): 53-60.
    • Eur. J. Anaesthesiol , Issue.10 , pp. 53-60
    • Janig, W.1
  • 18
    • 84866684866 scopus 로고    scopus 로고
    • Continuous pain intensity estimation from facial expressions
    • S. Kaltwang, O. Rudovic, and M. Pantic. Continuous pain intensity estimation from facial expressions. Advances in Visual Computing, pages 368-377, 2012.
    • (2012) Advances in Visual Computing , pp. 368-377
    • Kaltwang, S.1    Rudovic, O.2    Pantic, M.3
  • 22
    • 70349281749 scopus 로고    scopus 로고
    • Automatic coding of facial expressions displayed during posed and genuine pain
    • G. C. Littlewort, M. S. Bartlett, and K. Lee. Automatic coding of facial expressions displayed during posed and genuine pain. ICV, 27 (12): 1797-1803, 2009.
    • (2009) ICV , vol.27 , Issue.12 , pp. 1797-1803
    • Littlewort, G.C.1    Bartlett, M.S.2    Lee, K.3
  • 26
    • 0026677306 scopus 로고
    • The consistency of facial expressions of pain: A comparison across modalities
    • K. M. Prkachin. The consistency of facial expressions of pain: a comparison across modalities. Pain, 51 (3): 297-306, 1992.
    • (1992) Pain , vol.51 , Issue.3 , pp. 297-306
    • Prkachin, K.M.1
  • 28
    • 21844499606 scopus 로고
    • Expressing pain: The communication and interpretation of facial pain signals
    • K. M. Prkachin and K. D. Craig. Expressing pain: The communication and interpretation of facial pain signals. Journal of Nonverbal Behavior, 19 (4): 191-205, 1995.
    • (1995) Journal of Nonverbal Behavior , vol.19 , Issue.4 , pp. 191-205
    • Prkachin, K.M.1    Craig, K.D.2
  • 29
    • 53049106885 scopus 로고    scopus 로고
    • The structure, reliability and validity of pain expression: Evidence from patients with shoulder pain
    • K. M. Prkachin and P. E. Solomon. The structure, reliability and validity of pain expression: Evidence from patients with shoulder pain. Pain, 139 (2): 267-274, 2008.
    • (2008) Pain , vol.139 , Issue.2 , pp. 267-274
    • Prkachin, K.M.1    Solomon, P.E.2
  • 30
    • 34547803098 scopus 로고    scopus 로고
    • Underestimation of pain by health-care providers: Towards a model of the process of inferring pain in others
    • K. M. Prkachin, P. E. Solomon, and J. Ross. Underestimation of pain by health-care providers: towards a model of the process of inferring pain in others. CJNR (Canadian Journal of Nursing Research), 39 (2): 88-106, 2007.
    • (2007) CJNR (Canadian Journal of Nursing Research) , vol.39 , Issue.2 , pp. 88-106
    • Prkachin, K.M.1    Solomon, P.E.2    Ross, J.3
  • 31
    • 84888260952 scopus 로고    scopus 로고
    • Automatic pain intensity estimation with heteroscedastic conditional ordinal random fields
    • O. Rudovic, V. Pavlovic, and M. Pantic. Automatic pain intensity estimation with heteroscedastic conditional ordinal random fields. Advances in Visual Computing, pages 234-243, 2013.
    • (2013) Advances in Visual Computing , pp. 234-243
    • Rudovic, O.1    Pavlovic, V.2    Pantic, M.3
  • 38
    • 77958123122 scopus 로고    scopus 로고
    • A natural visible and infrared facial expression database for expression recognition and emotion inference
    • S. Wang, Z. Liu, S. Lv, Y. Lv, G. Wu, P. Peng, F. Chen, and X. Wang. A natural visible and infrared facial expression database for expression recognition and emotion inference. T. Multimedia, 12 (7): 682-691, 2010.
    • (2010) T. Multimedia , vol.12 , Issue.7 , pp. 682-691
    • Wang, S.1    Liu, Z.2    Lv, S.3    Lv, Y.4    Wu, G.5    Peng, P.6    Chen, F.7    Wang, X.8
  • 39
    • 84875858905 scopus 로고    scopus 로고
    • Pain recognition and intensity rating based on comparative learning
    • IEEE
    • P. Werner, A. Al-Hamadi, and R. Niese. Pain recognition and intensity rating based on comparative learning. In ICIP, pages 2313-2316. IEEE, 2012.
    • (2012) ICIP , pp. 2313-2316
    • Werner, P.1    Al-Hamadi, A.2    Niese, R.3
  • 40
    • 84905450347 scopus 로고    scopus 로고
    • Towards pain monitoring: Facial expression, head pose, a new database, an automatic system and remaining challenges
    • P. Werner, A. Al-Hamadi, R. Niese, S. Walter, S. Gruss, and H. C. Traue. Towards pain monitoring: Facial expression, head pose, a new database, an automatic system and remaining challenges. In BMVC, pages 119-1, 2013.
    • (2013) BMVC , pp. 119-121
    • Werner, P.1    Al-Hamadi, A.2    Niese, R.3    Walter, S.4    Gruss, S.5    Traue, H.C.6
  • 41
    • 84919935011 scopus 로고    scopus 로고
    • Automatic pain recognition from video and biomedical signals
    • IEEE
    • P. Werner, A. Al-Hamadi, R. Niese, S. Walter, S. Gruss, and H. C. Traue. Automatic pain recognition from video and biomedical signals. In ICPR, pages 4582-4587. IEEE, 2014.
    • (2014) ICPR , pp. 4582-4587
    • Werner, P.1    Al-Hamadi, A.2    Niese, R.3    Walter, S.4    Gruss, S.5    Traue, H.C.6
  • 42
    • 0037674457 scopus 로고    scopus 로고
    • Facial expression of pain, empathy, evolution, and social learning
    • A. C. d. C. Williams. Facial expression of pain, empathy, evolution, and social learning. Behavioral and brain sciences, 25 (04): 475-480, 2002.
    • (2002) Behavioral and Brain Sciences , vol.25 , Issue.4 , pp. 475-480
    • Williams, A.C.D.C.1
  • 43
    • 84887383859 scopus 로고    scopus 로고
    • Supervised descent method and its applications to face alignment
    • IEEE
    • X. Xiong and F. De la Torre. Supervised descent method and its applications to face alignment. In CVPR, pages 532-539. IEEE, 2013.
    • (2013) CVPR , pp. 532-539
    • Xiong, X.1    De La Torre, F.2
  • 44
    • 85079944616 scopus 로고    scopus 로고
    • Face detection, pose estimation, and landmark localization in the wild
    • X. Zhu and D. Ramanan. Face detection, pose estimation, and landmark localization in the wild. In CVPR.
    • CVPR
    • Zhu, X.1    Ramanan, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.