{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T01:53:01Z","timestamp":1773280381633,"version":"3.50.1"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319592589","type":"print"},{"value":"9783319592596","type":"electronic"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-59259-6_10","type":"book-chapter","created":{"date-parts":[[2017,5,31]],"date-time":"2017-05-31T02:56:53Z","timestamp":1496199413000},"page":"110-126","source":"Crossref","is-referenced-by-count":10,"title":["Audio-Visual Recognition of Pain Intensity"],"prefix":"10.1007","author":[{"given":"Patrick","family":"Thiam","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Viktor","family":"Kessler","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Steffen","family":"Walter","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"G\u00fcnther","family":"Palm","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Friedhelm","family":"Schwenker","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,6,1]]},"reference":[{"key":"10_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1007\/978-3-319-46182-3_23","volume-title":"Artificial Neural Networks in Pattern Recognition","author":"M Amirian","year":"2016","unstructured":"Amirian, M., K\u00e4chele, M., Schwenker, F.: Using radial basis function neural networks for continuous and discrete pain estimation from bio-physiological signals. In: Schwenker, F., Abbas, H.M., El Gayar, N., Trentin, E. (eds.) ANNPR 2016. LNCS, vol. 9896, pp. 269\u2013284. Springer, Cham (2016). doi: 10.1007\/978-3-319-46182-3_23"},{"key":"10_CR2","doi-asserted-by":"crossref","unstructured":"Aung, M.S.H., Kaltwang, S., Romera-Paredes, B., Martinez, B., Singh, A., Cella, M., Valstar, M., Meng, H., Kemp, A., Shafizadeh, M., Elkins, A.C., Kanakam, N., de Rothschild, A., Tyler, N., Watson, P.J., Williams, A.C., Pantic, M., Bianchi-Berthouze, N.: The automatic detection of chronic pain-related expression: requirements, challenges and multimodal dataset. IEEE Trans. Affect. Comput. 7, 435\u2013451 (2016)","DOI":"10.1109\/TAFFC.2015.2462830"},{"key":"10_CR3","doi-asserted-by":"crossref","unstructured":"Baltrusaitis, T., Robinson, P., Morency, L.P.: OpenFace: an open source facial behavior analysis toolkit. In: 2016 IEEE Winter Conference on Applications of Computer Vision, pp. 1\u201310 (2016)","DOI":"10.1109\/WACV.2016.7477553"},{"key":"10_CR4","doi-asserted-by":"crossref","unstructured":"Bosch, A., Zisserman, A., Munoz, X.: Representing shape with a spatial pyramid kernel. In: Proceedings of the 6th ACM International Conference on Image and Video Retrieval, pp. 401\u2013408 (2007)","DOI":"10.1145\/1282280.1282340"},{"key":"10_CR5","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman, L.: Random forests. Mach. Learn. 45, 5\u201332 (2001)","journal-title":"Mach. Learn."},{"key":"10_CR6","doi-asserted-by":"crossref","unstructured":"Chu, Y., Zhao, X., Yao, J., Zhao, Y., Wu, Z.: Physiological signals based quantitative evaluation method of the pain. In: Proceedings of the 19th IFAC World Congress, pp. 2981\u20132986 (2014)","DOI":"10.3182\/20140824-6-ZA-1003.01420"},{"key":"10_CR7","doi-asserted-by":"crossref","unstructured":"Eyben, F., Weninger, F., Gross, F., Schuller, B.: Recent developments in openSMILE, the Munich open-source multimedia feature extractor. In: ACM Multimedia (MM), pp. 835\u2013838 (2013)","DOI":"10.1145\/2502081.2502224"},{"key":"10_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"778","DOI":"10.1007\/978-3-319-16199-0_54","volume-title":"Computer Vision - ECCV 2014 Workshops","author":"C Florea","year":"2015","unstructured":"Florea, C., Florea, L., Vertan, C.: Learning pain from emotion: transferred HoT data representation for pain intensity estimation. In: Agapito, L., Bronstein, M.M., Rother, C. (eds.) ECCV 2014. LNCS, vol. 8927, pp. 778\u2013790. Springer, Cham (2015). doi: 10.1007\/978-3-319-16199-0_54"},{"key":"10_CR9","doi-asserted-by":"crossref","first-page":"e0140330","DOI":"10.1371\/journal.pone.0140330","volume":"10","author":"S Gruss","year":"2015","unstructured":"Gruss, S., Treister, R., Werner, P., Traue, H.C., Crawcour, S., Andrade, A., Walter, S.: Pain intensity recognition rates via biopotential feature patterns with support vector machines. PLoS ONE 10, e0140330 (2015)","journal-title":"PLoS ONE"},{"key":"10_CR10","doi-asserted-by":"crossref","unstructured":"Hermansky, H., Morgan, N., Bayya, A., Kohn, P.: RASTA-PLP speech analysis technique. In: Proceedings of the 1992 IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 121\u2013124 (1992)","DOI":"10.1109\/ICASSP.1992.225957"},{"key":"10_CR11","doi-asserted-by":"crossref","unstructured":"Jagan Mohan, B., Badu N., R.: Speech recognition using MFCC and DTW. In: International Conference on Advances in Electrical Engineering (ICAEE), pp. 1\u20134 (2014)","DOI":"10.1109\/ICAEE.2014.6838564"},{"key":"10_CR12","unstructured":"K\u00e4chele, M., Amirian, M., Thiam, P., Werner, P., Walter, S., Palm, G., Schwenker, F.: Adaptive confidence learning for the personalization of pain intensity estimation systems. Evol. Syst. 8, 1\u201313 (2016)"},{"key":"10_CR13","doi-asserted-by":"crossref","unstructured":"K\u00e4chele, M., Schwenker, F.: Cascaded fusion of dynamic, spatial, and textural feature sets for person-independent facial emotion recognition. In: 2014 22nd Internation Conference on Pattern Recognition, pp. 4660\u20134665 (2014)","DOI":"10.1109\/ICPR.2014.797"},{"key":"10_CR14","doi-asserted-by":"crossref","first-page":"854","DOI":"10.1109\/JSTSP.2016.2535962","volume":"10","author":"M K\u00e4chele","year":"2016","unstructured":"K\u00e4chele, M., Thiam, P., Amirian, M., Schwenker, F., Palm, G.: Methods for person-centered continuous pain intensity assessment from bio-physiological channels. IEEE J. Sel. Top. Signal Process. 10, 854\u2013864 (2016)","journal-title":"IEEE J. Sel. Top. Signal Process."},{"key":"10_CR15","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1007\/978-3-319-23983-5_26","volume-title":"Engineering Applications of Neural Networks","author":"M K\u00e4chele","year":"2015","unstructured":"K\u00e4chele, M., Thiam, P., Amirian, M., Werner, P., Walter, S., Schwenker, F., Palm, G.: Multimodal data fusion for person-independent, continuous estimation of pain intensity. In: Iliadis, L., Jayne, C. (eds.) EANN 2015. CCIS, vol. 517, pp. 275\u2013285. Springer, Cham (2015). doi: 10.1007\/978-3-319-23983-5_26"},{"key":"10_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"220","DOI":"10.1007\/978-3-319-20248-8_19","volume-title":"Multiple Classifier Systems","author":"M K\u00e4chele","year":"2015","unstructured":"K\u00e4chele, M., Werner, P., Al-Hamadi, A., Palm, G., Walter, S., Schwenker, F.: Bio-visual fusion for person-independent recognition of pain intensity. In: Schwenker, F., Roli, F., Kittler, J. (eds.) MCS 2015. LNCS, vol. 9132, pp. 220\u2013230. Springer, Cham (2015). doi: 10.1007\/978-3-319-20248-8_19"},{"key":"10_CR17","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., et al. (eds.) ISVC 2012. LNCS, vol. 7432, pp. 368\u2013377. Springer, Heidelberg (2012). doi: 10.1007\/978-3-642-33191-6_36"},{"key":"10_CR18","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1007\/978-1-4614-5143-3_4","volume-title":"Emotion Recognition using Speech Features","author":"SR Krothapalli","year":"2013","unstructured":"Krothapalli, S.R., Koolagudi, S.G.: Emotion recognition using vocal tract information. In: Krothapalli, S.R., Koolagudi, S.G. (eds.) Emotion Recognition using Speech Features, pp. 67\u201378. Springer, New York (2013)"},{"key":"10_CR19","first-page":"15","volume-title":"Emotion Recognition using Speech Features","author":"SR Krothapalli","year":"2013","unstructured":"Krothapalli, S.R., Koolagudi, S.G.: Speech emotion recognition: a review. In: Krothapalli, S.R., Koolagudi, S.G. (eds.) Emotion Recognition using Speech Features, pp. 15\u201334. Springer, New York (2013)"},{"key":"10_CR20","doi-asserted-by":"crossref","DOI":"10.1002\/0471660264","volume-title":"Combining Pattern Classifiers: Methods and Algorithms","author":"LI Kuncheva","year":"2004","unstructured":"Kuncheva, L.I.: Combining Pattern Classifiers: Methods and Algorithms. Wiley, Hoboken (2004)"},{"key":"10_CR21","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"186","DOI":"10.1007\/978-3-642-33212-8_17","volume-title":"Artificial Neural Networks in Pattern Recognition","author":"S Meudt","year":"2012","unstructured":"Meudt, S., Schwenker, F.: On instance selection in audio based emotion recognition. In: Mana, N., Schwenker, F., Trentin, E. (eds.) ANNPR 2012. LNCS, vol. 7477, pp. 186\u2013192. Springer, Heidelberg (2012). doi: 10.1007\/978-3-642-33212-8_17"},{"key":"10_CR22","doi-asserted-by":"crossref","unstructured":"Olugbade, T.A., Bianchi-Berthouze, N., Marquardt, N., Williams, A.C.: Pain level recognition using kinematics and muscle activity for physical rehabilitation in chronic pain. In: IEEE Proceedings of International Conference on Affective Computing and Intelligent Interaction, pp. 243\u2013249 (2015)","DOI":"10.1109\/ACII.2015.7344578"},{"key":"10_CR23","doi-asserted-by":"crossref","unstructured":"Sun, B., Li, L., Zhou, G., Wu, X., He, J., Yu, L., Li, D., Wei, Q.: Combining multimodal features within a fusion network for emotion recognition in the wild. In: Proceedings of the 2015 ACM International Conference on Multimodal Interaction, pp. 497\u2013502 (2015)","DOI":"10.1145\/2818346.2830586"},{"key":"10_CR24","doi-asserted-by":"crossref","unstructured":"Werner, P., Al-Hamadi, A., Niese, R., Walter, S., Gruss, S., Traue, H.C.: Towards pain monitoring: facial expression, head pose, a new database, an automatic system and remaining challenges. In: Proceedings of the British Machine Vision Conference, pp. 1\u201313 (2013)","DOI":"10.5244\/C.27.119"},{"key":"10_CR25","doi-asserted-by":"crossref","unstructured":"Werner, P., Al-Hamadi, A., Niese, R., Walter, S., Gruss, S., Traue, H.C.: Automatic pain recognition from video and biomedical signals. In: Proceedings of the International Conference on Pattern Recognition (ICPR), pp. 4582\u20134587 (2014)","DOI":"10.1109\/ICPR.2014.784"},{"key":"10_CR26","doi-asserted-by":"crossref","unstructured":"Zhao, G., Pietikaeinen, M.: Dynamic texture recognition using local binary patterns with an application to facial expressions. IEEE Trans. Pattern Anal. Mach. Intell. 29, 915\u2013928 (2007)","DOI":"10.1109\/TPAMI.2007.1110"}],"container-title":["Lecture Notes in Computer Science","Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-59259-6_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T21:34:58Z","timestamp":1750282498000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-59259-6_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319592589","9783319592596"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-59259-6_10","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017]]}}}