{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T17:14:31Z","timestamp":1778346871695,"version":"3.51.4"},"reference-count":20,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2016,9,27]],"date-time":"2016-09-27T00:00:00Z","timestamp":1474934400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81222021"],"award-info":[{"award-number":["81222021"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61172008"],"award-info":[{"award-number":["61172008"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key Technology R&D Program of the Ministry of Science and Technology of China","award":["No.2012BAI34B02"],"award-info":[{"award-number":["No.2012BAI34B02"]}]},{"name":"Program for New Century Excellent Talents in University of the Ministry of Education of China","award":["NCET-10-0618"],"award-info":[{"award-number":["NCET-10-0618"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. & Cyber."],"published-print":{"date-parts":[[2018,5]]},"DOI":"10.1007\/s13042-016-0601-4","type":"journal-article","created":{"date-parts":[[2016,9,27]],"date-time":"2016-09-27T04:16:37Z","timestamp":1474949797000},"page":"721-726","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":33,"title":["Study on an effective cross-stimulus emotion recognition model using EEGs based on feature selection and support vector machine"],"prefix":"10.1007","volume":"9","author":[{"given":"Shuang","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingjing","family":"Tong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiayuan","family":"Meng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiajia","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feng","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongzhi","family":"Qi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dong","family":"Ming","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,9,27]]},"reference":[{"key":"601_CR1","doi-asserted-by":"crossref","unstructured":"Alm CO, Roth D, Sproat R (2005) Emotions from text: machine learning for text-based emotion prediction. Paper presented at: Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing (Association for Computational Linguistics)","DOI":"10.3115\/1220575.1220648"},{"key":"601_CR2","doi-asserted-by":"crossref","first-page":"118","DOI":"10.1016\/j.neulet.2005.09.004","volume":"392","author":"M Balconi","year":"2006","unstructured":"Balconi M, Lucchiari C (2006) EEG correlates (event-related desynchronization) of emotional face elaboration: a temporal analysis. Neurosci Lett 392:118\u2013123","journal-title":"Neurosci Lett"},{"key":"601_CR3","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1016\/j.ijpsycho.2005.04.007","volume":"60","author":"T Baumgartner","year":"2006","unstructured":"Baumgartner T, Esslen M, J\u00e4ncke L (2006) From emotion perception to emotion experience: emotions evoked by pictures and classical music. Int J Psychophysiol 60:34\u201343","journal-title":"Int J Psychophysiol"},{"key":"601_CR4","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1145\/1961189.1961199","volume":"2","author":"CC Chang","year":"2011","unstructured":"Chang CC, Lin CJ (2011) LIBSVM: a library for support vector machines. Acm Trans Intell Syst Technol 2:389\u2013396","journal-title":"Acm Trans Intell Syst Technol"},{"key":"601_CR5","doi-asserted-by":"crossref","first-page":"789","DOI":"10.1016\/S0272-7358(02)00130-7","volume":"22","author":"J Edwards","year":"2002","unstructured":"Edwards J, Jackson HJ, Pattison PE (2002) Emotion recognition via facial expression and affective prosody in schizophrenia: a methodological review. Clin Psychol Rev 22:789\u2013832","journal-title":"Clin Psychol Rev"},{"key":"601_CR6","first-page":"1157","volume":"3","author":"I Guyon","year":"2003","unstructured":"Guyon I, Elisseeff A (2003) An introduction to variable and feature selection. J Mach Learn Res 3:1157\u20131182","journal-title":"J Mach Learn Res"},{"key":"601_CR7","doi-asserted-by":"crossref","first-page":"535","DOI":"10.1037\/0021-843X.100.4.535","volume":"100","author":"JB Henriques","year":"1991","unstructured":"Henriques JB, Davidson RJ (1991) Left frontal hypoactivation in depression. J Abnorm Psychol 100:535","journal-title":"J Abnorm Psychol"},{"key":"601_CR8","doi-asserted-by":"crossref","first-page":"945","DOI":"10.1016\/j.bspc.2013.09.006","volume":"8","author":"A Hidalgo-Mu\u00f1oz","year":"2013","unstructured":"Hidalgo-Mu\u00f1oz A, L\u00f3pez M, Pereira A, Santos I, Tom\u00e9 A (2013) Spectral turbulence measuring as feature extraction method from EEG on affective computing. Biomed Signal Process Control 8:945\u2013950","journal-title":"Biomed Signal Process Control"},{"key":"601_CR9","doi-asserted-by":"crossref","first-page":"192","DOI":"10.1016\/j.ijpsycho.2011.03.006","volume":"80","author":"A K\u00f6chel","year":"2011","unstructured":"K\u00f6chel A, Plichta MM, Sch\u00e4fer A, Leutgeb V, Scharm\u00fcller W, Fallgatter AJ, Schienle A (2011) Affective perception and imagery: a NIRS study. Int J Psychophysiol 80:192\u2013197","journal-title":"Int J Psychophysiol"},{"key":"601_CR10","doi-asserted-by":"crossref","unstructured":"Khalili Z, Moradi M (2008) Emotion detection using brain and peripheral signals. Paper presented at: Biomedical Engineering Conference, 2008 CIBEC 2008 Cairo International (IEEE)","DOI":"10.1109\/CIBEC.2008.4786096"},{"key":"601_CR11","doi-asserted-by":"crossref","first-page":"2067","DOI":"10.1109\/TPAMI.2008.26","volume":"30","author":"J Kim","year":"2008","unstructured":"Kim J, Andr\u00e9 E (2008) Emotion recognition based on physiological changes in music listening. Pattern Anal Mach Intell IEEE Trans 30:2067\u20132083","journal-title":"Pattern Anal Mach Intell IEEE Trans"},{"key":"601_CR12","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1109\/T-AFFC.2011.15","volume":"3","author":"S Koelstra","year":"2012","unstructured":"Koelstra S, Muhl C, Soleymani M, Lee J-S, Yazdani A, Ebrahimi T, Pun T, Nijholt A, Patras I (2012) Deap: a database for emotion analysis; using physiological signals. Affect Comput IEEE Trans 3:18\u201331","journal-title":"Affect Comput IEEE Trans"},{"key":"601_CR13","doi-asserted-by":"crossref","unstructured":"Koelstra S, Yazdani A, Soleymani M, M\u00fchl C, Lee J-S, Nijholt A, Pun T, Ebrahimi T, Patras I (2010) Single trial classification of EEG and peripheral physiological signals for recognition of emotions induced by music videos. In: Yao Y, Sun R,  Poggio T, Liu J, Zhong N, Huang J (eds) Brain informatics. Springer, Berlin, Heidelberg, pp 89\u2013100","DOI":"10.1007\/978-3-642-15314-3_9"},{"key":"601_CR14","doi-asserted-by":"crossref","first-page":"R1","DOI":"10.1088\/1741-2560\/4\/2\/R01","volume":"4","author":"F Lotte","year":"2007","unstructured":"Lotte F, Congedo M, L\u00e9cuyer A, Lamarche F (2007) A review of classification algorithms for EEG-based brain\u2013computer interfaces. J Neural Eng 4:R1\u2013R13","journal-title":"J Neural Eng"},{"key":"601_CR15","doi-asserted-by":"crossref","first-page":"1226","DOI":"10.1109\/TPAMI.2005.159","volume":"27","author":"H Peng","year":"2005","unstructured":"Peng H, Long F, Ding C (2005) Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy. Pattern Anal Mach Intell IEEE Trans 27:1226\u20131238","journal-title":"Pattern Anal Mach Intell IEEE Trans"},{"key":"601_CR16","doi-asserted-by":"crossref","first-page":"1175","DOI":"10.1109\/34.954607","volume":"23","author":"RW Picard","year":"2001","unstructured":"Picard RW, Vyzas E, Healey J (2001) Toward machine emotional intelligence: analysis of affective physiological state. Pattern Anal Mach Intell IEEE Trans 23:1175\u20131191","journal-title":"Pattern Anal Mach Intell IEEE Trans"},{"key":"601_CR17","doi-asserted-by":"crossref","first-page":"576","DOI":"10.1111\/j.1469-8986.1992.tb02034.x","volume":"29","author":"AJ Tomarken","year":"1992","unstructured":"Tomarken AJ, Davidson RJ, Wheeler RE, Kinney L (1992) Psychometric properties of resting anterior EEG asymmetry: temporal stability and internal consistency. Psychophysiology 29:576\u2013592","journal-title":"Psychophysiology"},{"key":"601_CR18","first-page":"162","volume":"102","author":"GK Verma","year":"2014","unstructured":"Verma GK, Tiwary US (2014) Multimodal fusion framework: a multiresolution approach for emotion classification and recognition from physiological signals. Neuro Image\u00a0102:162\u2013172","journal-title":"Neuro Image"},{"key":"601_CR19","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1016\/j.neucom.2013.06.046","volume":"129","author":"X-W Wang","year":"2014","unstructured":"Wang X-W, Nie D, Lu B-L (2014) Emotional state classification from EEG data using machine learning approach. Neurocomputing 129:94\u2013106","journal-title":"Neurocomputing"},{"key":"601_CR20","doi-asserted-by":"crossref","unstructured":"Yohanes RE, Ser W, Huang GB (2012) Discrete Wavelet Transform coefficients for emotion recognition from EEG signals. Paper presented at: Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE (IEEE)","DOI":"10.1109\/EMBC.2012.6346410"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13042-016-0601-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-016-0601-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-016-0601-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,4,20]],"date-time":"2018-04-20T01:54:06Z","timestamp":1524189246000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13042-016-0601-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,9,27]]},"references-count":20,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2018,5]]}},"alternative-id":["601"],"URL":"https:\/\/doi.org\/10.1007\/s13042-016-0601-4","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"value":"1868-8071","type":"print"},{"value":"1868-808X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,9,27]]}}}