{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T04:12:03Z","timestamp":1748751123875,"version":"3.41.0"},"publisher-location":"Cham","reference-count":47,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319273990"},{"type":"electronic","value":"9783319274003"}],"license":[{"start":{"date-parts":[[2015,11,18]],"date-time":"2015-11-18T00:00:00Z","timestamp":1447804800000},"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":[[2016]]},"DOI":"10.1007\/978-3-319-27400-3_24","type":"book-chapter","created":{"date-parts":[[2015,12,1]],"date-time":"2015-12-01T17:08:38Z","timestamp":1448989718000},"page":"271-280","source":"Crossref","is-referenced-by-count":1,"title":["Training Pattern Classifiers with Physiological Cepstral Features to Recognise Human Emotion"],"prefix":"10.1007","author":[{"given":"Abdultaofeek","family":"Abayomi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Oludayo O.","family":"Olugbara","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Emmanuel","family":"Adetiba","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Delene","family":"Heukelman","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2015,11,18]]},"reference":[{"key":"24_CR1","doi-asserted-by":"publisher","DOI":"10.1093\/acprof:oso\/9780195179644.001.0001","volume-title":"What the Face Reveals: Basic and Applied Studies of Spontaneous Expression Using the Facial Action Coding System","author":"P Ekman","year":"2005","unstructured":"Ekman, P., Rosenberg, E.L.: What the Face Reveals: Basic and Applied Studies of Spontaneous Expression Using the Facial Action Coding System, 2nd edn. Oxford University Press, Oxford (2005)","edition":"2"},{"unstructured":"Fried, E.: The impact of nonverbal communication of facial affect on children\u2019s learning. Ph.D. dissertation, Rutgers University (1976)","key":"24_CR2"},{"key":"24_CR3","volume-title":"Road Rage to Road-Wise","author":"J Larson","year":"1999","unstructured":"Larson, J., Rodriguez, C.: Road Rage to Road-Wise, 1st edn. Tom Doherty Associates Inc., New York (1999)","edition":"1"},{"issue":"3","key":"24_CR4","doi-asserted-by":"publisher","first-page":"386","DOI":"10.1037\/0012-1649.24.3.386","volume":"24","author":"JF Cohn","year":"1988","unstructured":"Cohn, J.F., Tronick, E.Z.: Mother-infant interaction: the sequence of dyadic states at three, six, and nine months. Dev. Psychol. 24(3), 386\u2013392 (1988)","journal-title":"Dev. Psychol."},{"doi-asserted-by":"crossref","unstructured":"Won-Joong Y., Kyu-Sik P.: A study of Emotion Recognition and its Applications. Modeling Decisions for Artificial Intelligence. Lecture notes in Computer Science, vol. 4617, pp. 455\u2013462. Springer-Verlage, Berlin Heidelberg (2007)","key":"24_CR5","DOI":"10.1007\/978-3-540-73729-2_43"},{"unstructured":"Ramakrishnan, S.: Recognition of emotion from speech: a review. In: Ramakrishnan, S. (ed.) Speech Enhancement, Modeling and Recognition-Algorithms and Applications. Intec, (2012). ISBN:978-953-51-0291-5","key":"24_CR6"},{"doi-asserted-by":"crossref","unstructured":"Noppadon, J., Setha, P., Pasin, I.: Real-time EEG based happiness detection system. Sci. World J., Article id 618649. Hindawi Publishing Corporation (2013)","key":"24_CR7","DOI":"10.1155\/2013\/618649"},{"issue":"12","key":"24_CR8","doi-asserted-by":"publisher","first-page":"2067","DOI":"10.1109\/TPAMI.2008.26","volume":"30","author":"K Jonghwa","year":"2008","unstructured":"Jonghwa, K., Andre, E.: Emotion recognition based on physiological changes in music listening. IEEE Trans. Pattern Anal. Mach. Intell. 30(12), 2067\u20132083 (2008)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"1","key":"24_CR9","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1007\/s10111-003-0143-x","volume":"6","author":"F Nasoz","year":"2004","unstructured":"Nasoz, F., Alvarez, K., Lisetti, C., Finkelstein, N.: Emotion recognition from physiological signals using wireless sensors for presence technologies. Cogn. Technol. Work 6(1), 4\u201314 (2004)","journal-title":"Cogn. Technol. Work"},{"issue":"1","key":"24_CR10","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1109\/T-AFFC.2011.25","volume":"3","author":"M Soleymani","year":"2012","unstructured":"Soleymani, M., Jeroen, L., Pun, T., Pantic, M.: A multimodal database for affect recognition and implicit tagging. IEEE Trans. Affect. Comput. 3(1), 42\u201355 (2012)","journal-title":"IEEE Trans. Affect. Comput."},{"unstructured":"Amit, K., Aruna, C.: Emotion Recognition:\u00a0A Pattern Analysis Approach. Wiley (2014). ISBN:1118130669, 9781118130667","key":"24_CR11"},{"doi-asserted-by":"crossref","unstructured":"Zong, C., Chetouani, M.: Hilbert-Huang transform based physiological signals analysis for emotion recognition. In: Proceedings of IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), pp. 334\u2013339 (2009)","key":"24_CR12","DOI":"10.1109\/ISSPIT.2009.5407547"},{"unstructured":"Lanjewar, R.B., Chaudhari, D.S.: Speech emotion recognition: a review. Int. J. Innovative Technol. Exploring Eng (IJITEE) 2(4), 68\u201371 (2013). ISSN:2278\u20133075","key":"24_CR13"},{"key":"24_CR14","doi-asserted-by":"publisher","first-page":"329","DOI":"10.1146\/annurev.psych.54.101601.145102","volume":"54","author":"AR James","year":"2003","unstructured":"James, A.R., Jo-Anne, B., Jose-Miguel, F.: Facial and vocal expressions of emotion. Annu. Rev. Psychol. 54, 329\u2013349 (2003)","journal-title":"Annu. Rev. Psychol."},{"issue":"1","key":"24_CR15","doi-asserted-by":"crossref","first-page":"2189","DOI":"10.24297\/ijct.v11i1.1190","volume":"11","author":"YP Heng","year":"2013","unstructured":"Heng, Y.P., Lili, N.A., Alfian, A.H., Puteri, S.S.: A study of physiological signals-based emotion recognition systems. Int. J. Comput. Technol. 11(1), 2189\u20132196 (2013)","journal-title":"Int. J. Comput. Technol."},{"doi-asserted-by":"crossref","unstructured":"Jerritta, S., Murugappan, M., Nagarajan, R., Wan, K.: Physiological signals based human emotion Recognition: A review. In: Proceedings of IEEE 7th International Colloquium Signal Processing and Its Applications (CSPA), pp. 410\u2013415 (2011)","key":"24_CR16","DOI":"10.1109\/CSPA.2011.5759912"},{"unstructured":"Soma, B., Shanthi, T., Madhuri, G.: Emotion recognition using combination of MFCC and LPCC with supply vector machine. IOSR J. Comput. Eng. (IOSR-JCE) 17(4), 01\u201308 (2015). e-ISSN:2278-0661, p-ISSN: 2278-8727","key":"24_CR17"},{"issue":"4","key":"24_CR18","doi-asserted-by":"crossref","first-page":"2106","DOI":"10.17762\/ijritcc2321-8169.150474","volume":"3","author":"P. Kumar","year":"2015","unstructured":"Kumar, P., Lahudkar, S.L.: Automatic speaker recognition using LPCC and MFCC. Int. J. Recent Innovation Trends Comput Commun. 3(4), pp. 2106\u20132109 (2015). ISSN:2321-8169","journal-title":"International Journal on Recent and Innovation Trends in Computing and Communication"},{"unstructured":"Silvia, M.F., Marius, D.Z.: Emotion recognition in romanian language using LPC features. In: The 4th IEEE International Conference on E-Health and Bioengineering\u2014EHB 2013, Grigore T. Popa University of Medicine and Pharmacy, Ia\u015fi, Romania, Nov 21\u201323 2013","key":"24_CR19"},{"issue":"12","key":"24_CR20","first-page":"22","volume":"101","author":"G Taabish","year":"2014","unstructured":"Taabish, G., Anand, S., Sandeep, S.: Comparative analysis of LPCC, MFCC and BFCC for the recognition of Hindi words using artificial neural networks. Int. J. Comput. Appl. (0975\u20138887) 101(12), 22\u201327 (2014)","journal-title":"Int. J. Comput. Appl. (0975\u20138887)"},{"issue":"2","key":"24_CR21","first-page":"101","volume":"6","author":"P Yixiong","year":"2012","unstructured":"Yixiong, P., Peipei, S., Liping, S.: Speech emotion recognition using support vector machine. Int. J. Smart Home. 6(2), 101\u2013108 (2012)","journal-title":"Int. J. Smart Home."},{"doi-asserted-by":"crossref","unstructured":"Peipei, S., Zhou, C., Xiong, C.: Automatic speech emotion recognition using support vector machine. In: International Conference on Electronic and Mechanical Engineering and Information Technology, pp. 621\u2013625 (2011)","key":"24_CR22","DOI":"10.1109\/EMEIT.2011.6023178"},{"key":"24_CR23","first-page":"959","volume":"40","author":"AG Ravelo-Garcial","year":"2013","unstructured":"Ravelo-Garcial, A.G., Navarro-Mesal, J.L., Hemadez-Perezl, E., Martin-Gonzalezl, S., Quintana-Moralesl, P., Guerra-Morenol, I., et al.: Cepstrum feature selection for the classification of sleep Apnea-Hypopnea syndrome based on heart rate variability. Comput. Cardiol. 40, 959\u2013962 (2013)","journal-title":"Comput. Cardiol."},{"unstructured":"Zhouyu, F., Guojun, L., Kai, M.T., Dengsheng, Z.: Optimizing cepstral features for audio classification. In: Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, pp. 1330\u20131336 (2013)","key":"24_CR24"},{"unstructured":"McCormick, C.: Computer vision and machine learning projects and tutorials. Radial Basis Function Network (RBFN) Tutorial (2013)","key":"24_CR25"},{"unstructured":"Bors, A.G.: Introduction of the Radial Basis Functions (RBF) Networks. The York Research database. Online Symposium of Electronics Engineers (2001)","key":"24_CR26"},{"unstructured":"Ugur, H.: Artificial Neural Networks. Ch. 9, EE543 Lecture Notes (2004)","key":"24_CR27"},{"key":"24_CR28","doi-asserted-by":"publisher","first-page":"2408","DOI":"10.1016\/j.proeng.2011.08.452","volume":"15","author":"Guo Xianhai","year":"2011","unstructured":"Xianhai, Guo: Study of emotion recognition based on electrocardiogram and RBF neural network. Procedia Eng. 15, 2408\u20132412 (2011)","journal-title":"Procedia Eng."},{"unstructured":"Venkatesan, P., Anitha, S.: Application of a radial basis function neural network for diagnosis of diabetes mellitus. Curr. Sci. 91(9) (2006)","key":"24_CR29"},{"key":"24_CR30","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/S0925-2312(98)00005-8","volume":"20","author":"A Saastamoinen","year":"1998","unstructured":"Saastamoinen, A., Pietil\u00e4, T., V\u00e4rri, A., Lehtokangas, M., Saarinen, J.: Waveform detection with RBF network\u2014application to automated EEG analysis. Neurocomputing 20, 1\u201313 (1998)","journal-title":"Neurocomputing"},{"doi-asserted-by":"crossref","unstructured":"Yojna, A., Abhishek, S., Abhay, B.: A study of applications of RBF network. Int. J. Comput. Appl. (0975\u20138887) 94(2) (2014)","key":"24_CR31","DOI":"10.5120\/16315-5553"},{"doi-asserted-by":"crossref","unstructured":"Corina, C., Vladimir, V.: Support-vector networks. Machine Learning, vol. 20, pp. 273\u2013297. Kluwer Academic Publishers, Boston. Manufactured in The Netherlands (1995)","key":"24_CR32","DOI":"10.1007\/BF00994018"},{"issue":"1","key":"24_CR33","doi-asserted-by":"crossref","first-page":"28","DOI":"10.5120\/12707-9508","volume":"73","author":"S. Pazhanirajan","year":"2013","unstructured":"Pazhanirajan, S., Dhanalakshmi, P.: EEG signal classification using linear predictive cepstral coefficient features. Int. J. Comput. Appl. (0975\u20138887) 73(1) (2013)","journal-title":"International Journal of Computer Applications"},{"key":"24_CR34","volume-title":"Speech and Audio Processing for Coding, Enhancement and Recognition","author":"O Tokunbo","year":"2014","unstructured":"Tokunbo, O., Roberto, T., Madihally, S.N.: Speech and Audio Processing for Coding, Enhancement and Recognition. Springer, New York (2014)"},{"issue":"4","key":"24_CR35","doi-asserted-by":"publisher","first-page":"779","DOI":"10.1007\/s12040-014-0436-x","volume":"123","author":"BT Abe","year":"2014","unstructured":"Abe, B.T., Olugbara, O.O., Marwala, T.: Experimental comparison of support vector machines with random forests for hyperspectral image land cover classification. J. Earth Syst. Sci. 123(4), 779\u2013790 (2014)","journal-title":"J. Earth Syst. Sci."},{"issue":"3","key":"24_CR36","doi-asserted-by":"publisher","first-page":"279","DOI":"10.7763\/IJMLC.2014.V4.425","volume":"4","author":"F Ahmad","year":"2014","unstructured":"Ahmad, F., Roy, K., O\u2019Connor, B., Shelton, J., Dozier, G., Dworkin, I.: Fly wing biometrics using modified local binary pattern, SVMs and random forest. Int. J. Mach. Learn. Comput. 4(3), 279\u2013285 (2014)","journal-title":"Int. J. Mach. Learn. Comput."},{"unstructured":"Qi, P.L.: Speaker Authentication, pp. 174\u2013175. Springer Science and Business Media (2011)","key":"24_CR37"},{"unstructured":"Lindasalwa, M., Mumtaj, B., Elamvazuthi, I.: Voice recognition algorithms using mel frequency cepstral coefficient (MFCC) and dynamic time warping (DTW) techniques. J. Comput. 2(3), pp. 138\u2013143 (2010). ISSN:2151-9617","key":"24_CR38"},{"doi-asserted-by":"crossref","unstructured":"Haifeng, S., Jun, G., Gang, L., Qunxia, L.: Non-stationary environment compensation using sequential EM algorithm for robust speech recognition. In: Jorge, A. et al. (eds.) pp. 264\u2013273. Springer-Verlag, Berlin Heinderg (2005)","key":"24_CR39","DOI":"10.1007\/11564126_28"},{"unstructured":"Honig, F., Wagner, J., Batliner, A., Noth, E.: Classification of user states with physiological signals: On-line generic features versus specialized feature sets. In: 17th European Signal Processing Conference 2009, Glasgow, Scotland, pp. 2357\u20132361 (2009)","key":"24_CR40"},{"doi-asserted-by":"crossref","unstructured":"Maaoui, C., Pruski, A.: Emotion recognition through physiological signals for human-machine communication in cutting edge robotics 2010. In: Kordic, V. (ed.) (2010)","key":"24_CR41","DOI":"10.5772\/10312"},{"doi-asserted-by":"crossref","unstructured":"Gu, Y., Tan, S.-L., Wong, K.-J., Ho, M.-H. R., Qu, L.: A biometric signature based system for improved emotion recognition using physiological responses from multiple subjects In 8th IEEE International Conference on Industrial Informatics (INDIN), 2010 Osaka, 2010","key":"24_CR42","DOI":"10.1109\/INDIN.2010.5549464"},{"doi-asserted-by":"crossref","unstructured":"Wan-Hui, W., Yu-Hui, Q., Guang-Yuan, L.: Electrocardiography recording, feature extraction and classification for emotion recognition. In: WRI World Congress on Computer Science and Information Engineering Los Angeles, CA (2009)","key":"24_CR43","DOI":"10.1109\/CSIE.2009.130"},{"unstructured":"Renukadevi, N.T., Thangaraj P.: Performance evaluation of SVM\u2013RBF Kernel for medical image. Classifi. Global J. Comput. Sci. Technol. Graph. Vis, 13(4), Version 1.0, (2013)","key":"24_CR44"},{"unstructured":"Anguita, D., Ghelardoni, L., Ghio, A., Oneto, L., Ridella, S.: The \u2018K\u2019 in K-fold cross validation. In: Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges (Belgium), pp. 441\u2013446 (2012)","key":"24_CR45"},{"unstructured":"Hsu, C.W., Chang, C.C., Lin, C.J.: A Practical Guide to Support Vector Classification. Technical report (2000)","key":"24_CR46"},{"issue":"2","key":"24_CR47","first-page":"83","volume":"27","author":"T Hastie","year":"2005","unstructured":"Hastie, T., Tibshirani, R., Friedman, J., Franklin, J.: The elements of statistical learning: data mining, inference and prediction. Math. Intell. 27(2), 83\u201385 (2005)","journal-title":"Math. Intell."}],"container-title":["Advances in Intelligent Systems and Computing","Advances in Nature and Biologically Inspired Computing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-27400-3_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,31]],"date-time":"2025-05-31T16:40:30Z","timestamp":1748709630000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-27400-3_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,11,18]]},"ISBN":["9783319273990","9783319274003"],"references-count":47,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-27400-3_24","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2015,11,18]]}}}