{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T20:40:13Z","timestamp":1761597613328,"version":"3.40.3"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319209036"},{"type":"electronic","value":"9783319209043"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1007\/978-3-319-20904-3_12","type":"book-chapter","created":{"date-parts":[[2015,6,18]],"date-time":"2015-06-18T09:01:15Z","timestamp":1434618075000},"page":"128-136","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":25,"title":["Learning Appearance Features for Pain Detection Using the UNBC-McMaster Shoulder Pain Expression Archive Database"],"prefix":"10.1007","author":[{"given":"Henrik","family":"Pedersen","sequence":"first","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,6,19]]},"reference":[{"key":"12_CR1","doi-asserted-by":"crossref","unstructured":"Bengio, Y.: Learning deep architectures for AI. Found. Trends$$^{\\textregistered }$$ Mach. Learn. 2(1), 1\u2013127 (2009)","DOI":"10.1561\/2200000006"},{"key":"12_CR2","first-page":"153","volume":"19","author":"Y Bengio","year":"2007","unstructured":"Bengio, Y., Lamblin, P., Popovici, D., Larochelle, H., et al.: Greedy layer-wise training of deep networks. Adv. Neural Inf. Process. Syst. 19, 153 (2007)","journal-title":"Adv. Neural Inf. Process. Syst."},{"issue":"3","key":"12_CR3","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1016\/j.artmed.2004.12.003","volume":"36","author":"S Brahnam","year":"2006","unstructured":"Brahnam, S., Chuang, C.F., Shih, F.Y., Slack, M.R.: Machine recognition and representation of neonatal facial displays of acute pain. Artif. Intell. Med. 36(3), 211\u2013222 (2006)","journal-title":"Artif. Intell. Med."},{"issue":"3","key":"12_CR4","doi-asserted-by":"publisher","first-page":"27:1","DOI":"10.1145\/1961189.1961199","volume":"2","author":"CC Chang","year":"2011","unstructured":"Chang, C.C., Lin, C.J.: Libsvm: a library for support vector machines. ACM Trans. Intell. Syst. Technol. 2(3), 27:1\u201327:27 (2011)","journal-title":"ACM Trans. Intell. Syst. Technol."},{"issue":"6","key":"12_CR5","doi-asserted-by":"publisher","first-page":"681","DOI":"10.1109\/34.927467","volume":"23","author":"TF Cootes","year":"2001","unstructured":"Cootes, T.F., Edwards, G.J., Taylor, C.J.: Active appearance models. IEEE Trans. Pattern Anal. Mach. Intell. 23(6), 681\u2013685 (2001)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"7","key":"12_CR6","doi-asserted-by":"publisher","first-page":"757","DOI":"10.1109\/34.598232","volume":"19","author":"IA Essa","year":"1997","unstructured":"Essa, I.A., Pentland, A.P.: Coding, analysis, interpretation, and recognition of facial expressions. IEEE Trans. Pattern Anal. Mach. Intell. 19(7), 757\u2013763 (1997)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"12_CR7","doi-asserted-by":"crossref","unstructured":"Gholami, B., Haddad, M., Tannenbaum, A.R.: Agitation and pain assessment using digital imaging. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2009, pp. 2176\u20132179. IEEE (2009)","DOI":"10.1109\/IEMBS.2009.5332437"},{"issue":"7","key":"12_CR8","doi-asserted-by":"publisher","first-page":"1527","DOI":"10.1162\/neco.2006.18.7.1527","volume":"18","author":"G Hinton","year":"2006","unstructured":"Hinton, G., Osindero, S., Teh, Y.W.: A fast learning algorithm for deep belief nets. Neural Comput. 18(7), 1527\u20131554 (2006)","journal-title":"Neural Comput."},{"key":"12_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"368","DOI":"10.1007\/978-3-642-33191-6_36","volume-title":"Advances in Visual Computing","author":"S Kaltwang","year":"2012","unstructured":"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.) ISVC 2012, Part II. LNCS, vol. 7432, pp. 368\u2013377. Springer, Heidelberg (2012)"},{"issue":"12","key":"12_CR10","doi-asserted-by":"publisher","first-page":"1797","DOI":"10.1016\/j.imavis.2008.12.010","volume":"27","author":"GC Littlewort","year":"2009","unstructured":"Littlewort, G.C., Bartlett, M.S., Lee, K.: Automatic coding of facial expressions displayed during posed and genuine pain. Image Vis. Comput. 27(12), 1797\u20131803 (2009)","journal-title":"Image Vis. Comput."},{"issue":"3","key":"12_CR11","doi-asserted-by":"publisher","first-page":"664","DOI":"10.1109\/TSMCB.2010.2082525","volume":"41","author":"P Lucey","year":"2011","unstructured":"Lucey, P., Cohn, J.F., Matthews, I., Lucey, S., Sridharan, S., Howlett, J., Prkachin, K.M.: Automatically detecting pain in video through facial action units. IEEE Trans. Syst. Man Cybern. B Cybern. 41(3), 664\u2013674 (2011)","journal-title":"IEEE Trans. Syst. Man Cybern. B Cybern."},{"issue":"3","key":"12_CR12","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1016\/j.imavis.2011.12.003","volume":"30","author":"P Lucey","year":"2012","unstructured":"Lucey, P., Cohn, J.F., Prkachin, K.M., Solomon, P.E., Chew, S., Matthews, I.: Painful monitoring: automatic pain monitoring using the unbc-mcmaster shoulder pain expression archive database. Image Vis. Comput. 30(3), 197\u2013205 (2012)","journal-title":"Image Vis. Comput."},{"key":"12_CR13","doi-asserted-by":"crossref","unstructured":"Lucey, P., Cohn, J.F., Prkachin, K.M., Solomon, P.E., Matthews, I.: Painful data: the unbc-mcmaster shoulder pain expression archive database. In: IEEE International Conference on Automatic Face and Gesture Recognition and Workshops (FG 2011), pp. 57\u201364. IEEE (2011)","DOI":"10.1109\/FG.2011.5771462"},{"issue":"2","key":"12_CR14","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1023\/B:VISI.0000029666.37597.d3","volume":"60","author":"I Matthews","year":"2004","unstructured":"Matthews, I., Baker, S.: Active appearance models revisited. Int. J. Comput. Vision 60(2), 135\u2013164 (2004)","journal-title":"Int. J. Comput. Vision"},{"issue":"3","key":"12_CR15","doi-asserted-by":"publisher","first-page":"297","DOI":"10.1016\/0304-3959(92)90213-U","volume":"51","author":"KM Prkachin","year":"1992","unstructured":"Prkachin, K.M.: The consistency of facial expressions of pain: a comparison across modalities. Pain 51(3), 297\u2013306 (1992)","journal-title":"Pain"},{"issue":"2","key":"12_CR16","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1016\/j.pain.2008.04.010","volume":"139","author":"KM Prkachin","year":"2008","unstructured":"Prkachin, K.M., Solomon, P.E.: The structure, reliability and validity of pain expression: evidence from patients with shoulder pain. Pain 139(2), 267\u2013274 (2008)","journal-title":"Pain"},{"key":"12_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"808","DOI":"10.1007\/978-3-642-33783-3_58","volume-title":"Computer Vision \u2013 ECCV 2012","author":"S Rifai","year":"2012","unstructured":"Rifai, S., Bengio, Y., Courville, A., Vincent, P., Mirza, M.: Disentangling factors of variation for facial expression recognition. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012, Part VI. LNCS, vol. 7577, pp. 808\u2013822. Springer, Heidelberg (2012)"},{"key":"12_CR18","unstructured":"Rifai, S., Vincent, P., Muller, X., Glorot, X., Bengio, Y.: Contractive auto-encoders: explicit invariance during feature extraction. In: Proceedings of the 28th International Conference on Machine Learning (ICML 2011), pp. 833\u2013840 (2011)"},{"issue":"6","key":"12_CR19","doi-asserted-by":"publisher","first-page":"1113","DOI":"10.1109\/TPAMI.2014.2366127","volume":"37","author":"E Sariyanidi","year":"2014","unstructured":"Sariyanidi, E., Gunes, H., Cavallaro, A.: Automatic analysis of facial affect: a survey of registration, representation and recognition. IEEE Trans. Pattern Anal. Mach. Intell. 37(6), 1113\u20131133 (2014)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"10","key":"12_CR20","doi-asserted-by":"publisher","first-page":"659","DOI":"10.1016\/j.imavis.2014.02.008","volume":"32","author":"K Sikka","year":"2014","unstructured":"Sikka, K., Dhall, A., Bartlett, M.S.: Classification and weakly supervised pain localization using multiple segment representation. Image Vis. Comput. 32(10), 659\u2013670 (2014)","journal-title":"Image Vis. Comput."},{"key":"12_CR21","first-page":"3371","volume":"11","author":"P Vincent","year":"2010","unstructured":"Vincent, P., Larochelle, H., Lajoie, I., Bengio, Y., Manzagol, P.A.: Stacked denoising autoencoders: learning useful representations in a deep network with a local denoising criterion. J. Mach. Learn. Res. 11, 3371\u20133408 (2010)","journal-title":"J. Mach. Learn. Res."},{"issue":"4","key":"12_CR22","first-page":"439","volume":"25","author":"AC Williamdes","year":"2002","unstructured":"Williamdes, A.C.: Facial expression of pain: an evolutionary account. Behav. Brain Sci. 25(4), 439\u2013455 (2002)","journal-title":"Behav. Brain Sci."},{"issue":"1","key":"12_CR23","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1109\/TPAMI.2008.52","volume":"31","author":"Z Zeng","year":"2009","unstructured":"Zeng, Z., Pantic, M., Roisman, G.I., Huang, T.S.: A survey of affect recognition methods: audio, visual, and spontaneous expressions. IEEE Trans. Pattern Anal. Mach. Intell. 31(1), 39\u201358 (2009)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."}],"container-title":["Lecture Notes in Computer Science","Computer Vision Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-20904-3_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,21]],"date-time":"2023-02-21T02:17:08Z","timestamp":1676945828000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-20904-3_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319209036","9783319209043"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-20904-3_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2015]]},"assertion":[{"value":"19 June 2015","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}