{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,23]],"date-time":"2025-09-23T13:56:29Z","timestamp":1758635789302,"version":"3.40.3"},"publisher-location":"Cham","reference-count":29,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319449432"},{"type":"electronic","value":"9783319449449"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"vor","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":[[2016]]},"DOI":"10.1007\/978-3-319-44944-9_37","type":"book-chapter","created":{"date-parts":[[2016,9,2]],"date-time":"2016-09-02T16:32:13Z","timestamp":1472833933000},"page":"429-440","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["A Consumer BCI for Automated Music Evaluation Within a Popular On-Demand Music Streaming Service \u201cTaking Listener\u2019s Brainwaves to Extremes\u201d"],"prefix":"10.1007","author":[{"given":"Fotis","family":"Kalaganis","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dimitrios A.","family":"Adamos","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nikos","family":"Laskaris","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,9,2]]},"reference":[{"key":"37_CR1","volume-title":"Electroencephalography: Basic Principles, Clinical Applications, and Related Fields","author":"E Niedermeyer","year":"2005","unstructured":"Niedermeyer, E., da Silva, F.L.: Electroencephalography: Basic Principles, Clinical Applications, and Related Fields. Lippincott Williams & Wilkins, New York (2005)"},{"key":"37_CR2","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1109\/MEMB.2010.936545","volume":"29","author":"AJ Casson","year":"2010","unstructured":"Casson, A.J., Yates, D., Smith, S., Duncan, J.S., Rodriguez-Villegas, E.: Wearable electroencephalography. IEEE Eng. Med. Biol. Mag. 29, 44\u201356 (2010)","journal-title":"IEEE Eng. Med. Biol. Mag."},{"key":"37_CR3","doi-asserted-by":"publisher","first-page":"284","DOI":"10.1038\/nrn2795","volume":"11","author":"D Ariely","year":"2010","unstructured":"Ariely, D., Berns, G.S.: Neuromarketing: the hope and hype of neuroimaging in business. Nat. Rev. Neurosci. 11, 284\u2013292 (2010)","journal-title":"Nat. Rev. Neurosci."},{"issue":"6","key":"37_CR4","doi-asserted-by":"crossref","first-page":"907","DOI":"10.1109\/JPROC.2015.2407272","volume":"103","author":"B He","year":"2015","unstructured":"He, B., Baxter, B., Edelman, B.J., Cline, C.C., Ye, W.W.: Noninvasive brain-computer interfaces based on sensorimotor rhythms. Proc. IEEE 103(6), 907\u2013925 (2015)","journal-title":"Proc. IEEE"},{"volume-title":"Business Innovation and Disruption in the Music Industry","year":"2016","key":"37_CR5","unstructured":"Wikstr\u00f6m, P., DeFillippi, R. (eds.): Business Innovation and Disruption in the Music Industry. Edward Elgar Publishing, Cheltenham (2016)"},{"key":"37_CR6","first-page":"44","volume":"91","author":"L Downes","year":"2013","unstructured":"Downes, L., Nunes, P.: Big bang disruption. Harvard Bus. Rev. 91, 44\u201356 (2013)","journal-title":"Harvard Bus. Rev."},{"key":"37_CR7","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1016\/j.ins.2016.01.005","volume":"343\u2013344","author":"AD Adamos","year":"2016","unstructured":"Adamos, A.D., Dimitriadis, I.S., Laskaris, A.N.: Towards the bio-personalization of music recommendation systems: a single-sensor EEG biomarker of subjective music preference. Inf. Sci. 343\u2013344, 94\u2013108 (2016)","journal-title":"Inf. Sci."},{"key":"37_CR8","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/9609.001.0001","volume-title":"Analyzing Neural Time Series Data: Theory and Practice","author":"MX Cohen","year":"2014","unstructured":"Cohen, M.X.: Analyzing Neural Time Series Data: Theory and Practice. MIT Press, Cambridge (2014)"},{"key":"37_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3109\/00207458908987413","volume":"47","author":"E Altenm\u00fcller","year":"1989","unstructured":"Altenm\u00fcller, E.: Cortical DC-potentials as electrophysiological correlates of hemispheric dominance of higher cognitive functions. Int. J. Neurosci. 47, 1\u201314 (1989)","journal-title":"Int. J. Neurosci."},{"key":"37_CR10","doi-asserted-by":"publisher","first-page":"117","DOI":"10.2307\/40285613","volume":"11","author":"H Petsche","year":"1993","unstructured":"Petsche, H., Ritcher, P., von Stein, A., Etlinger, S.C., Filz, O.: EEG coherence and musical thinking. Music Percept. Interdisc. J. 11, 117\u2013151 (1993)","journal-title":"Music Percept. Interdisc. J."},{"key":"37_CR11","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1142\/S0218127496000047","volume":"6","author":"N Birbaumer","year":"1996","unstructured":"Birbaumer, N., Lutzenberger, W., Rau, H., Braun, C., Mayer-Kress, G.: Perception of music and dimensional complexity of brain activity. Int. J. Bifurcat. Chaos 6, 267 (1996)","journal-title":"Int. J. Bifurcat. Chaos"},{"key":"37_CR12","doi-asserted-by":"publisher","first-page":"3498","DOI":"10.1109\/TBME.2012.2217495","volume":"59","author":"SK Hadjidimitriou","year":"2013","unstructured":"Hadjidimitriou, S.K., Hadjileontiadis, L.J.: Toward an EEG-based recognition of music liking using time-frequency analysis. IEEE Trans. Biomed. Eng. 59, 3498\u20133510 (2013)","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"37_CR13","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1016\/j.neulet.2009.05.068","volume":"460","author":"B Schmidt","year":"2009","unstructured":"Schmidt, B., Hanslmayr, S.: Resting frontal EEG alpha-asymmetry predicts the evaluation of affective musical stimuli. Neurosci. Lett. 460, 237\u2013240 (2009)","journal-title":"Neurosci. Lett."},{"issue":"3","key":"37_CR14","doi-asserted-by":"publisher","first-page":"222","DOI":"10.1016\/S0304-3940(99)00766-1","volume":"275","author":"S Nakamura","year":"1999","unstructured":"Nakamura, S., Sadato, N., Oohashi, T., Nishina, E., Fuwamoto, Y., Yonekura, Y.: Analysis of music-brain interaction with simultaneous measurement of regional cerebral blood flow and electroencephalogram beta rhythm in human subjects. Neurosci. Lett. 275(3), 222\u2013226 (1999)","journal-title":"Neurosci. Lett."},{"issue":"2","key":"37_CR15","doi-asserted-by":"publisher","first-page":"371","DOI":"10.1097\/00001756-200102120-00037","volume":"12","author":"J Bhattacharya","year":"2001","unstructured":"Bhattacharya, J., Petsche, H.: Musicians and the gamma band: a secret affair? Neuroreport 12(2), 371\u2013374 (2001)","journal-title":"Neuroreport"},{"issue":"4","key":"37_CR16","doi-asserted-by":"publisher","first-page":"487","DOI":"10.1080\/02699930126048","volume":"15","author":"AL Schmidt","year":"2001","unstructured":"Schmidt, A.L., Trainor, L.J.: Frontal brain electrical activity (EEG) distinguishes valence and intensity of musical emotions. Cognit. Emot. 15(4), 487\u2013500 (2001)","journal-title":"Cognit. Emot."},{"issue":"2","key":"37_CR17","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1111\/j.1469-8986.2007.00497.x","volume":"44","author":"D Sammler","year":"2007","unstructured":"Sammler, D., Grigutsch, M., Fritz, T., Koelsch, S.: Music and emotion: electrophysiological correlates of the processing of pleasant and unpleasant music. Psychophysiology 44(2), 293\u2013304 (2007)","journal-title":"Psychophysiology"},{"key":"37_CR18","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1109\/T-AFFC.2013.6","volume":"4","author":"SK Hadjidimitriou","year":"2013","unstructured":"Hadjidimitriou, S.K., Hadjileontiadis, L.J.: EEG-based classification of music appraisal responses using time-frequency analysis and familiarity ratings. IEEE Trans. Affect. Comput. 4, 161\u2013172 (2013)","journal-title":"IEEE Trans. Affect. Comput."},{"key":"37_CR19","doi-asserted-by":"crossref","unstructured":"Pan, Y., Guan, C., Yu, J., Ang, K.K., Chan, T.E.: Common frequency pattern for music preference identification using frontal EEG. In: 6th International IEEE\/EMBS Conference on Neural Engineering, pp. 505\u2013508 (2013)","DOI":"10.1109\/NER.2013.6695982"},{"issue":"1\u20132","key":"37_CR20","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1016\/j.biopsycho.2004.03.002","volume":"67","author":"AJ Coan","year":"2004","unstructured":"Coan, A.J., Allen, J.B.J.: Frontal EEG asymmetry as a moderator and mediator of emotion. Biol. Psychol. 67(1\u20132), 7\u201350 (2004)","journal-title":"Biol. Psychol."},{"issue":"11","key":"37_CR21","doi-asserted-by":"publisher","first-page":"506","DOI":"10.1016\/j.tics.2010.09.001","volume":"14","author":"TR Canolty","year":"2010","unstructured":"Canolty, T.R., Knight, T.R.: The functional role of cross-frequency coupling. Trends Cognit. Sci. 14(11), 506\u2013515 (2010)","journal-title":"Trends Cognit. Sci."},{"key":"37_CR22","doi-asserted-by":"publisher","unstructured":"Dimitriadis, S.I., Laskaris, N.A., Bitzidou, M.P., Tarnanas, I., Tsolaki, M.N.: A novel biomarker of amnestic MCI based on dynamic cross-frequency coupling patterns during cognitive brain responses. Front. Neurosci. 9(350) (2015). doi:\n                    10.3389\/fnins.2015.00350","DOI":"10.3389\/fnins.2015.00350"},{"issue":"6","key":"37_CR23","doi-asserted-by":"publisher","first-page":"2769","DOI":"10.1214\/009053607000000505","volume":"35","author":"JG Szekely","year":"2007","unstructured":"Szekely, J.G., Rizzo, L.M., Bakirov, K.N.: Measuring and testing dependence by correlation of distances. Ann. Stat. 35(6), 2769\u20132794 (2007)","journal-title":"Ann. Stat."},{"issue":"1\u20133","key":"37_CR24","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1016\/j.neucom.2005.12.126","volume":"70","author":"GB Huang","year":"2006","unstructured":"Huang, G.B., Zhu, Q.Y., Siew, C.K.: Extreme learning machine: theory and applications. Neurocomputing 70(1\u20133), 489\u2013501 (2006)","journal-title":"Neurocomputing"},{"key":"37_CR25","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1007\/s12559-015-9333-0","volume":"7","author":"GB Huang","year":"2015","unstructured":"Huang, G.B.: What are extreme learning machines? Filling the gap between Frank Rosenblatt\u2019s Dream and John von Neumann\u2019s Puzzle. Cogn. Comput. 7, 263\u2013278 (2015)","journal-title":"Cogn. Comput."},{"key":"37_CR26","unstructured":"Wright, M., Freed, A., Momeni, A.: Open sound control: state of the art 2003. In: NIME 2003: Proceedings of the 3rd Conference on New Interfaces for Musical Expression (2003)"},{"key":"37_CR27","doi-asserted-by":"crossref","unstructured":"Akhtar, M.T., Jung, T.P., Makeig, S., Cauwenberghs, G.: Recursive independent component analysis for online blind source separation. In: IEEE Internet Symposium on Circuits and Systems, vol. 6, pp. 2813\u20132816 (2012)","DOI":"10.1109\/ISCAS.2012.6271896"},{"issue":"1","key":"37_CR28","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1109\/MC.2015.12","volume":"48","author":"Roy Want","year":"2015","unstructured":"Want, R., Schilit, B. N., Jenson, S.: Enabling the internet of things. Computer (1), pp. 28\u201335 (2015)","journal-title":"Computer"},{"issue":"2","key":"37_CR29","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1109\/MIC.2015.24","volume":"19","author":"J Miranda","year":"2016","unstructured":"Miranda, J., Makitalo, N., Garcia-Alonso, J., Berrocal, J., Mikkonen, T., Canal, C., Murillo, J.M.: From the internet of things to the internet of people. IEEE Internet Comput. 19(2), 40\u201347 (2016)","journal-title":"IEEE Internet Comput."}],"container-title":["IFIP Advances in Information and Communication Technology","Artificial Intelligence Applications and Innovations"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-44944-9_37","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,9,2]],"date-time":"2020-09-02T00:08:38Z","timestamp":1599005318000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-44944-9_37"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319449432","9783319449449"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-44944-9_37","relation":{},"ISSN":["1868-4238","1868-422X"],"issn-type":[{"type":"print","value":"1868-4238"},{"type":"electronic","value":"1868-422X"}],"subject":[],"published":{"date-parts":[[2016]]},"assertion":[{"value":"2 September 2016","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AIAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"IFIP International Conference on Artificial Intelligence Applications and Innovations","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Thessaloniki","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2016","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 September 2016","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 September 2016","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aiai2016","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}