{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T23:08:21Z","timestamp":1743116901125,"version":"3.40.3"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030166595"},{"type":"electronic","value":"9783030166601"}],"license":[{"start":{"date-parts":[[2019,4,14]],"date-time":"2019-04-14T00:00:00Z","timestamp":1555200000000},"content-version":"tdm","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":[[2020]]},"DOI":"10.1007\/978-3-030-16660-1_28","type":"book-chapter","created":{"date-parts":[[2019,4,13]],"date-time":"2019-04-13T16:06:56Z","timestamp":1555171616000},"page":"284-291","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Emotion Assessment Based on EEG Brain Signals"],"prefix":"10.1007","author":[{"given":"Sali","family":"Issa","sequence":"first","affiliation":[]},{"given":"Qinmu","family":"Peng","sequence":"additional","affiliation":[]},{"given":"Xinge","family":"You","sequence":"additional","affiliation":[]},{"given":"Wahab Ali","family":"Shah","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,4,14]]},"reference":[{"key":"28_CR1","doi-asserted-by":"crossref","unstructured":"Busso, C., Deng, Z., Yildirim, S., Bulut, M., Lee, C.M., Kazemzadeh, A., Lee, S., Neumann, U., Narayanan, S.: Analysis of emotion recognition using facial expressions, speech and multimodal information. In: Proceedings of the 6th International Conference on Multimodal Interfaces, pp. 205\u2013211. ICML, State College, Pennsylvania, USA (2004)","DOI":"10.1145\/1027933.1027968"},{"key":"28_CR2","doi-asserted-by":"crossref","unstructured":"Emerich, S., Lupu, E., Apatean, A.: Emotions recognition by speechand facial expressions analysis. In: 17th European on Signal Processing Conference, Glasgow, UK, pp. 1617\u20131621. IEEE (2009)","DOI":"10.1109\/ISSCS.2009.5206101"},{"key":"28_CR3","volume-title":"Emotion and Personality: Psychological Aspects","author":"MB Arnold","year":"1960","unstructured":"Arnold, M.B.: Emotion and Personality: Psychological Aspects. Columbia University Press, New York (1960)"},{"key":"28_CR4","volume-title":"The Emotions","author":"NH Frijda","year":"1986","unstructured":"Frijda, N.H.: The Emotions. Cambridge University Press, UK (1986)"},{"key":"28_CR5","doi-asserted-by":"publisher","first-page":"106","DOI":"10.2307\/1415404","volume":"39","author":"W Canon","year":"1927","unstructured":"Canon, W.: The James Lange theory of emotion: a critical examination and an alternative theory. Am. J. Psychol. 39, 106\u2013124 (1927)","journal-title":"Am. J. Psychol."},{"issue":"2","key":"28_CR6","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1016\/0959-4388(92)90011-9","volume":"2","author":"JE LeDoux","year":"1992","unstructured":"LeDoux, J.E.: Brain mechanisms of emotion and emotional learning. Curr. Opin. Neurobiol. 2(2), 191\u2013197 (1992)","journal-title":"Curr. Opin. Neurobiol."},{"issue":"1","key":"28_CR7","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":"6","key":"28_CR8","doi-asserted-by":"publisher","first-page":"1052","DOI":"10.1109\/TSMCA.2011.2116000","volume":"41","author":"G Chanel","year":"2011","unstructured":"Chanel, G., Rebetez, C., Btrancourt, M., Pun, T.: Emotion assessment from physiological signals for adaptation of game difficulty. IEEE Trans. Syst. Man Cybern. Part A: Syst. Hum. 41(6), 1052\u20131063 (2011)","journal-title":"IEEE Trans. Syst. Man Cybern. Part A: Syst. Hum."},{"key":"28_CR9","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1016\/j.eswa.2015.10.049","volume":"47","author":"J Atkinson","year":"2016","unstructured":"Atkinson, J., Campos, D.: Improving BCI-based emotion recognition by combining EEG feature selection and kernel classifiers. Expert. Syst. Appl. 47, 35\u201341 (2016)","journal-title":"Expert. Syst. Appl."},{"issue":"1","key":"28_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., Lichtenauer, J., 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."},{"issue":"2","key":"28_CR11","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1080\/2326263X.2014.912883","volume":"1","author":"M Stikic","year":"2014","unstructured":"Stikic, M., Johnson, R.R., Tan, V., Berka, C.: EEG-based classification of positive and negative affective states. Brain-Comput. Interfaces 1(2), 99\u2013112 (2014)","journal-title":"Brain-Comput. Interfaces"},{"issue":"3","key":"28_CR12","doi-asserted-by":"publisher","first-page":"342","DOI":"10.1504\/IJMEI.2009.022645","volume":"1","author":"M Murugappan","year":"2009","unstructured":"Murugappan, M., Juhari, M.R.B.M., Ramachandran, N., Yaacob, S.: An investigation on visual and audiovisual stimulus based emotion recognition using EEG. Int. J. Med. Eng. Inform. 1(3), 342\u2013356 (2009)","journal-title":"Int. J. Med. Eng. Inform."},{"issue":"3","key":"28_CR13","first-page":"87","volume":"8","author":"S Nasehi","year":"2012","unstructured":"Nasehi, S., Pourghassem, H.: An optimal EEG-based emotion recognition algorithm using Gabor features. WSEAS Trans. Signal Process. 8(3), 87\u201399 (2012)","journal-title":"WSEAS Trans. Signal Process."},{"issue":"3","key":"28_CR14","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1109\/TAMD.2015.2463113","volume":"7","author":"S Wang","year":"2015","unstructured":"Wang, S., Zhu, Y., Yue, L., Ji, Q.: Emotion recognition with the help of privileged information. IEEE Trans. Auton. Ment. Dev. 7(3), 189\u2013200 (2015)","journal-title":"IEEE Trans. Auton. Ment. Dev."},{"issue":"C","key":"28_CR15","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1016\/j.eswa.2015.10.049","volume":"47","author":"J Atkinson","year":"2016","unstructured":"Atkinson, J., Campos, D.: Improving BCI-based emotion recognition by combining EEG feature selection and kernel classifiers. Expert Syst. Appl. 47(C), 35\u201341 (2016)","journal-title":"Expert Syst. Appl."},{"key":"28_CR16","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1016\/j.procs.2016.04.062","volume":"84","author":"Nitin Kumar","year":"2016","unstructured":"Kumar, N., Khaund, K., Hazarika, S.M.: Bispectral analysis of EEG for emotion recognition. In: 7th International conference on Intelligent Human Computer Interaction, IHCI 2015, pp. 31\u201335, IIIT-Allahabad, India (2015). Procedia Comput. Sci.","journal-title":"Procedia Computer Science"},{"key":"28_CR17","doi-asserted-by":"publisher","first-page":"14797","DOI":"10.1109\/ACCESS.2017.2724555","volume":"5","author":"RM Mehmood","year":"2017","unstructured":"Mehmood, R.M., Du, R., Lee, H.J.: Optimal feature selection and deep learning ensembles method for emotion recognition from human brain EEG sensors. IEEE Access 5, 14797\u201314806 (2017)","journal-title":"IEEE Access"},{"issue":"99","key":"28_CR18","first-page":"1","volume":"PP","author":"Soraia M Alarcao","year":"2017","unstructured":"Alarcao, Soraia M., Fonseca, Manuel J.: Emotions recognition using EEG signals: a survey. IEEE Trans. Affect. Comput. PP(99), 1\u201320 (2017)","journal-title":"IEEE Trans. Affect. Comput."},{"key":"28_CR19","unstructured":"Trans Cranial Technologies. \n                  https:\/\/www.trans-cranial.com"},{"key":"28_CR20","unstructured":"Newsweek Media Group Magazine. \n                  http:\/\/www.newsweek.com\/sad-brain-happy-brain-88455"},{"key":"28_CR21","unstructured":"Polikar, R.: The wavelet tutorial. Rowan University, Glassboro, Camden, Stratford, New Jersey, U.S (1999)"},{"key":"28_CR22","doi-asserted-by":"publisher","first-page":"1186","DOI":"10.1186\/1471-2202-10-46","volume":"10","author":"FB Vialatte","year":"2009","unstructured":"Vialatte, F.B., Sol\u00e9-Casals, J., Dauwels, J., Maurice, M., Cichocki, A.: Bump time frequency toolbox: a toolbox for time-frequency oscillatory bursts extraction in electrophysiological signals. BMC Neurosci. 10, 1186 (2009)","journal-title":"BMC Neurosci."},{"key":"28_CR23","volume-title":"Pattern Classification","author":"RO Duda","year":"2001","unstructured":"Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification. Wiley, New York (2001)"}],"container-title":["Advances in Intelligent Systems and Computing","Intelligent Systems Design and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-16660-1_28","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,7]],"date-time":"2019-09-07T08:11:05Z","timestamp":1567843865000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-16660-1_28"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4,14]]},"ISBN":["9783030166595","9783030166601"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-16660-1_28","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2019,4,14]]},"assertion":[{"value":"14 April 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ISDA 2018","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Systems Design and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Vellore","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 December 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 December 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"isda2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.mirlabs.net\/isda18\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}