메뉴 건너뛰기




Volumn 2015-October, Issue , 2015, Pages 80-87

Pain recognition using spatiotemporal oriented energy of facial muscles

Author keywords

Energy measurement; Face recognition; Facial muscles; Feature extraction; Histograms; Pain

Indexed keywords

COMPUTER VISION; ELECTRIC POWER MEASUREMENT; FEATURE EXTRACTION; HEALTH; MUSCLE;

EID: 84951983198     PISSN: 21607508     EISSN: 21607516     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2015.7301340     Document Type: Conference Paper
Times cited : (33)

References (19)
  • 3
    • 33644893406 scopus 로고    scopus 로고
    • Machine recognition and representation of neonatal facial displays of acute pain
    • 1
    • S. Brahnam, C. Chuang, F. Shih, and M. Slack. Machine recognition and representation of neonatal facial displays of acute pain. Artificial Intelligence in Medicine, 36: 211-222, 2006. 1
    • (2006) Artificial Intelligence in Medicine , vol.36 , pp. 211-222
    • Brahnam, S.1    Chuang, C.2    Shih, F.3    Slack, M.4
  • 4
    • 84897546038 scopus 로고    scopus 로고
    • The applicability of spatiotemporal oriented energy features to region tracking
    • 2, 4
    • 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. 2, 4
    • (2014) IEEE Trans. Pattern Anal. Mach. Intell , vol.36 , Issue.4 , pp. 784-796
    • Cannons, K.1    Wildes, R.2
  • 7
    • 33749250005 scopus 로고    scopus 로고
    • Three-dimensional nth derivative of Gaussian separable steerable filters
    • 2
    • K. Derpanis and J. Gryn. Three-dimensional nth derivative of gaussian separable steerable filters. In IEEE International Conference on Image Processing, pages 553-556, 2005. 2
    • (2005) IEEE International Conference on Image Processing , pp. 553-556
    • Derpanis, K.1    Gryn, J.2
  • 9
    • 84863624563 scopus 로고    scopus 로고
    • The checklist manifesto: How to get things right?
    • 1
    • A. Gawande. The checklist manifesto: How to get things right? Metropolitan Books, New York, 2010. 1
    • (2010) Metropolitan Books, New York
    • Gawande, A.1
  • 13
    • 70349281749 scopus 로고    scopus 로고
    • Automatic coding of facial expressions displayed during posed and genuine pain
    • 1
    • G. Littlewort, M. Bartlett, and K. Lee. Automatic coding of facial expressions displayed during posed and genuine pain. Image and Vision Computing, 27: 1797-1803, 2009. 1
    • (2009) Image and Vision Computing , vol.27 , pp. 1797-1803
    • Littlewort, G.1    Bartlett, M.2    Lee, K.3
  • 14
    • 84859870204 scopus 로고    scopus 로고
    • Painful monitoring: Automatic pain monitoring using the unbc-mcmaster shoulder pain expression archive database
    • 1
    • P. Lucey, J. Cohn, K. Prkachin, P. Solomon, S. Chew, and I. Matthews. Painful monitoring: Automatic pain monitoring using the unbc-mcmaster shoulder pain expression archive database. Image and Vision Computing, 30: 197-205, 2012. 1
    • (2012) Image and Vision Computing , vol.30 , pp. 197-205
    • Lucey, P.1    Cohn, J.2    Prkachin, K.3    Solomon, P.4    Chew, S.5    Matthews, I.6
  • 16
    • 56349110916 scopus 로고    scopus 로고
    • The fifth vital sign-what does it mean?
    • 1, M W.S D.D D.L H.J R.
    • W. M., D. S., D. D., H. L., and R. J. The fifth vital sign-what does it mean? Pain Practice, 8 (6): 417-422, 2008. 1
    • (2008) Pain Practice , vol.8 , Issue.6 , pp. 417-422
  • 18
    • 53049106885 scopus 로고    scopus 로고
    • The structure, reliability and validity of pain expression: Evidence from patients with shoulder pain
    • 1, 2, 7, 8
    • K. Prkachin and P. Solomon. The structure, reliability and validity of pain expression: Evidence from patients with shoulder pain. Pain, 139: 267-274, 2008. 1, 2, 7, 8
    • (2008) Pain , vol.139 , pp. 267-274
    • Prkachin, K.1    Solomon, P.2
  • 19
    • 84888260952 scopus 로고    scopus 로고
    • Automatic pain intensity estimation with heteroscedastic conditional random fields
    • 1, 2
    • O. Rudovic, V. Pavlovic, , and M. Pantic. Automatic pain intensity estimation with heteroscedastic conditional random fields. Advances in Visual Computing, 8034: 234-243, 2013. 1, 2
    • (2013) Advances in Visual Computing , vol.8034 , pp. 234-243
    • Rudovic, O.1    Pavlovic, V.2    Pantic, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.