{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T04:52:35Z","timestamp":1742964755601,"version":"3.40.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319707716"},{"type":"electronic","value":"9783319707723"}],"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":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-70772-3_15","type":"book-chapter","created":{"date-parts":[[2017,11,3]],"date-time":"2017-11-03T02:58:27Z","timestamp":1509677907000},"page":"159-168","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Emotion Recognition from EEG Using Rhythm Synchronization Patterns with Joint Time-Frequency-Space Correlation"],"prefix":"10.1007","author":[{"given":"Hongzhi","family":"Kuai","sequence":"first","affiliation":[]},{"given":"Hongxia","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Jianzhuo","family":"Yan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,11,4]]},"reference":[{"key":"15_CR1","doi-asserted-by":"crossref","unstructured":"Gunes, H.: Automatic, dimensional and continuous emotion recognition (2010)","DOI":"10.4018\/jse.2010101605"},{"issue":"4578","key":"15_CR2","doi-asserted-by":"publisher","first-page":"1235","DOI":"10.1126\/science.7146906","volume":"218","author":"RJ Davidson","year":"1982","unstructured":"Davidson, R.J., Fox, N.A.: Asymmetrical brain activity discriminates between positive and negative affective stimuli in human infants. Science 218(4578), 1235\u20131237 (1982)","journal-title":"Science"},{"key":"15_CR3","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"492","DOI":"10.1007\/978-3-642-39454-6_53","volume-title":"Foundations of Augmented Cognition","author":"AT Sohaib","year":"2013","unstructured":"Sohaib, A.T., Qureshi, S., Hagelb\u00e4ck, J., Hilborn, O., Jer\u010di\u0107, P.: Evaluating classifiers for emotion recognition using EEG. In: Schmorrow, D.D., Fidopiastis, C.M. (eds.) AC 2013. LNCS (LNAI), vol. 8027, pp. 492\u2013501. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-39454-6_53"},{"key":"15_CR4","doi-asserted-by":"crossref","unstructured":"Murugappan, M., Murugappan, S.: Human emotion recognition through short time Electroencephalogram (EEG) signals using Fast Fourier Transform (FFT). In: 9th IEEE International Colloquium on Signal Processing and its Applications (CSPA), pp. 289\u2013294. IEEE Press, Kuala Lumpur (2013)","DOI":"10.1109\/CSPA.2013.6530058"},{"key":"15_CR5","doi-asserted-by":"crossref","unstructured":"Yohanes, R.E., Ser, W., Huang, G.B.: Discrete Wavelet Transform coefficients for emotion recognition from EEG signals. In: 2012 Annual International Conference of the Engineering in Medicine and Biology Society (EMBC), pp. 2251\u20132254. IEEE Press, San Diego, CA, USA, August 2012","DOI":"10.1109\/EMBC.2012.6346410"},{"issue":"3","key":"15_CR6","first-page":"342","volume":"1","author":"M Murugappan","year":"2009","unstructured":"Murugappan, M., Juhari, M.R.B.M., Nagarajan, R., Yaacob, S.: An investigation on visual and audiovisual stimulus based emotion recognition using EEG. Int. J. Med. Eng. Inf. 1(3), 342\u2013356 (2009)","journal-title":"Int. J. Med. Eng. Inf."},{"issue":"12","key":"15_CR7","doi-asserted-by":"publisher","first-page":"3498","DOI":"10.1109\/TBME.2012.2217495","volume":"59","author":"SK Hadjidimitriou","year":"2012","unstructured":"Hadjidimitriou, S.K., Hadjileontiadis, L.J.: Toward an EEG-based recognition of music liking using time-frequency analysis. IEEE Trans. Biomed. Eng. 59(12), 3498\u20133510 (2012)","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"15_CR8","unstructured":"Zheng, W.L., Dong, B.N., Lu, B.L.: Multimodal emotion recognition using EEG and eye tracking data. In: 2014 36th Annual International Conference of the Engineering in Medicine and Biology Society (EMBC), pp. 5040\u20135043. IEEE Press, Chicago, August 2014"},{"issue":"1","key":"15_CR9","first-page":"87","volume":"4","author":"EB Herreras","year":"2010","unstructured":"Herreras, E.B.: Cognitive neuroscience: the biology of the mind. Cuadernos de Neuropsicolog\u00eda 4(1), 87\u201390 (2010)","journal-title":"Cuadernos de Neuropsicolog\u00eda"},{"key":"15_CR10","doi-asserted-by":"publisher","unstructured":"De Bie, T., Cristianini, N., Rosipal, R.: Eigenproblems in pattern recognition. In: Handbook of Geometric, Computing, pp. 129\u2013167. Springer, Berlin (2005). https:\/\/doi.org\/10.1007\/3-540-28247-5_5","DOI":"10.1007\/3-540-28247-5_5"},{"key":"15_CR11","doi-asserted-by":"crossref","unstructured":"Khosrowabadi, R., Heijnen, M., Wahab, A., Quek, H.C.: The dynamic emotion recognition system based on functional connectivity of brain regions. In: Intelligent Vehicles Symposium (IV), pp. 377\u2013381 IEEE Press, San Diego, June 2010","DOI":"10.1109\/IVS.2010.5548102"},{"issue":"5","key":"15_CR12","doi-asserted-by":"publisher","first-page":"737","DOI":"10.1109\/TITB.2011.2157933","volume":"15","author":"PC Petrantonakis","year":"2011","unstructured":"Petrantonakis, P.C., Hadjileontiadis, L.: A novel emotion elicitation index using frontal brain asymmetry for enhanced EEG-based emotion recognition. IEEE Trans. Inf. Technol. Biomed. 15(5), 737\u2013746 (2011)","journal-title":"IEEE Trans. Inf. Technol. Biomed."},{"issue":"4700","key":"15_CR13","doi-asserted-by":"publisher","first-page":"750","DOI":"10.1126\/science.3992243","volume":"228","author":"N Rowland","year":"1985","unstructured":"Rowland, N., Meile, M.J., Nicolaidis, S.: EEG alpha activity reflects attentional demands, and beta activity reflects emotional and cognitive processes. Science 228(4700), 750\u2013752 (1985)","journal-title":"Science"},{"key":"15_CR14","unstructured":"Yijun, W.: Brain-Computer Interface System Based on Rhythm Modulation - From Offline to Online. Doctoral dissertation, Tsinghua University, Beijing (2007)"},{"issue":"2","key":"15_CR15","doi-asserted-by":"publisher","first-page":"998","DOI":"10.1016\/j.neuroimage.2008.03.059","volume":"42","author":"H Kober","year":"2008","unstructured":"Kober, H., Barrett, L.F., Joseph, J., Bliss-Moreau, E., Lindquist, K., Wager, T.: Functional grouping and cortical\u2013subcortical interactions in emotion: a meta-analysis of neuroimaging studies. Neuroimage 42(2), 998\u20131031 (2008)","journal-title":"Neuroimage"},{"issue":"10","key":"15_CR16","doi-asserted-by":"publisher","first-page":"4695","DOI":"10.4249\/scholarpedia.4695","volume":"2","author":"O Sporns","year":"2007","unstructured":"Sporns, O.: Brain connectivity. Scholarpedia 2(10), 4695 (2007)","journal-title":"Scholarpedia"},{"key":"15_CR17","volume-title":"Theory and Application","author":"SM Kay","year":"1988","unstructured":"Kay, S.M., Estimation, S.M.: Theory and Application. Prentce-Hall, Englewood Cliffs (1988)"},{"issue":"4","key":"15_CR18","doi-asserted-by":"publisher","first-page":"967","DOI":"10.1037\/0022-3514.74.4.967","volume":"74","author":"L Feldman Barrett","year":"1998","unstructured":"Feldman Barrett, L., Russell, J.A.: Independence and bipolarity in the structure of current affect. J. Pers. Soc. Psychol. 74(4), 967 (1998)","journal-title":"J. Pers. Soc. Psychol."},{"issue":"4","key":"15_CR19","doi-asserted-by":"publisher","first-page":"363","DOI":"10.1177\/1754073910374661","volume":"2","author":"C Izard","year":"2010","unstructured":"Izard, C.: Special section: on defining emotion. Emot. Rev. 2(4), 363\u2013385 (2010)","journal-title":"Emot. Rev."},{"issue":"22","key":"15_CR20","doi-asserted-by":"publisher","first-page":"4102","DOI":"10.1007\/s11434-009-0632-2","volume":"54","author":"Y Liu","year":"2009","unstructured":"Liu, Y., Fu, Q., Fu, X.: The interaction between cognition and emotion. Chin. Sci. Bull. 54(22), 4102\u20134116 (2009)","journal-title":"Chin. Sci. Bull."},{"issue":"6","key":"15_CR21","first-page":"63","volume":"35","author":"JD Morris","year":"1995","unstructured":"Morris, J.D.: Observations: SAM: the self-assessment manikin; an efficient cross-cultural measurement of emotional response. J. Advertising Res. 35(6), 63\u201368 (1995)","journal-title":"J. Advertising Res."},{"key":"15_CR22","doi-asserted-by":"crossref","unstructured":"Jirayucharoensak, S., Pan-Ngum, S., Israsena, P.: EEG-based emotion recognition using deep learning network with principal component based covariate shift adaptation. Sci. World J. (2014)","DOI":"10.1155\/2014\/627892"},{"issue":"1","key":"15_CR23","doi-asserted-by":"publisher","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.: Deap: a database for emotion analysis; using physiological signals. IEEE Trans. Affect. Comput. 3(1), 18\u201331 (2012)","journal-title":"IEEE Trans. Affect. Comput."},{"issue":"1","key":"15_CR24","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1177\/0305735610362821","volume":"39","author":"T Eerola","year":"2011","unstructured":"Eerola, T., Vuoskoski, J.K.: A comparison of the discrete and dimensional models of emotion in music. Psychol. Music 39(1), 18\u201349 (2011)","journal-title":"Psychol. Music"}],"container-title":["Lecture Notes in Computer Science","Brain Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-70772-3_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T18:20:10Z","timestamp":1710267610000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-70772-3_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319707716","9783319707723"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-70772-3_15","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"4 November 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Brain Informatics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Beijing","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 November 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 November 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"brain2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/bii.ia.ac.cn\/bi-2017\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}