{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T23:42:08Z","timestamp":1743118928301,"version":"3.40.3"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030866075"},{"type":"electronic","value":"9783030866082"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-86608-2_2","type":"book-chapter","created":{"date-parts":[[2021,9,9]],"date-time":"2021-09-09T05:02:56Z","timestamp":1631163776000},"page":"11-19","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Personal Identification with Exploiting Competitive Tasks in EEG Signals"],"prefix":"10.1007","author":[{"given":"Menglu","family":"Zhou","sequence":"first","affiliation":[]},{"given":"Yuchun","family":"Fang","sequence":"additional","affiliation":[]},{"given":"Zhengye","family":"Xiao","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,9,8]]},"reference":[{"issue":"3","key":"2_CR1","doi-asserted-by":"publisher","first-page":"327","DOI":"10.1109\/TAFFC.2014.2339834","volume":"5","author":"AP Robert Jenke","year":"2014","unstructured":"Robert Jenke, A.P., Buss, M.: Feature extraction and selection for emotion recognition from EEG. IEEE Trans. Affective Comput. 5(3), 327\u2013339 (2014)","journal-title":"IEEE Trans. Affective Comput."},{"issue":"9","key":"2_CR2","doi-asserted-by":"publisher","first-page":"1215","DOI":"10.1109\/5.237532","volume":"81","author":"JW Picone","year":"1993","unstructured":"Picone, J.W.: Signal modeling techniques in speech recognition. Proc. IEEE 81(9), 1215\u20131247 (1993)","journal-title":"Proc. IEEE"},{"key":"2_CR3","unstructured":"Ningjie, L., Yuchun, F., Ling, L., Limin, H., Fenglei, Y., Yike, G.: Multiple feature fusion for automatic emotion recognition using EEG signals. In: ICASSP IEEE International Conference on Acoustic Speech Signal Process Proceedings, pp. 896\u2013900 (2018)"},{"key":"2_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"537","DOI":"10.1007\/978-3-319-69923-3_58","volume-title":"Biometric Recognition","author":"Y Li","year":"2017","unstructured":"Li, Y., Zhao, Y., Tan, T., Liu, N., Fang, Y.: Personal identification based on content-independent EEG signal analysis. In: Zhou, J., et al. (eds.) CCBR 2017. LNCS, vol. 10568, pp. 537\u2013544. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-69923-3_58"},{"key":"2_CR5","doi-asserted-by":"crossref","unstructured":"Thomas, K.P., Vinod, A.: Utilizing individual alpha frequency and delta band power in EEG based biometric recognition. In: IEEE International Conference on Systems, Man and Cybernetics, SMC - Conference Proceedings, pp. 4787\u20134791 (2016)","DOI":"10.1109\/SMC.2016.7844987"},{"key":"2_CR6","doi-asserted-by":"crossref","unstructured":"Keshishzadeh, S., Fallah, A., Rashidi, S.: Improved EEG based human authentication system on large dataset. In: Iranian Conference on Electrical Engineering, ICEE, pp. 1165\u20131169 (2016)","DOI":"10.1109\/IranianCEE.2016.7585697"},{"key":"2_CR7","doi-asserted-by":"crossref","unstructured":"Xiang, Z., Lina, Y., Salil S., K., Yunhao, L., Tao, G., Kaixuan, C.: MindiD: person identification from brain waves through attention-based recurrent neural network. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(3) (2018)","DOI":"10.1145\/3264959"},{"key":"2_CR8","unstructured":"Caruana, R.: Learning many related tasks at the same time with backpropagation. In: Advances in Neural Information Processing Systems, pp. 657\u2013664 (1995)"},{"key":"2_CR9","doi-asserted-by":"crossref","unstructured":"Shinohara, Y.: Adversarial multi-task learning of deep neural networks for robust speech recognition. In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, pp. 2369\u20132372 (2016)","DOI":"10.21437\/Interspeech.2016-879"},{"key":"2_CR10","doi-asserted-by":"crossref","unstructured":"Schalk, G., McFarland, D., Hinterberger, T., Birbaumer, N., Wolpaw, J.: BCI 2000: a general-purpose brain-computer interface (BCI) system. IEEE Trans. Biomed. Eng. 51(6), 1034\u20131043 (2004)","DOI":"10.1109\/TBME.2004.827072"},{"issue":"23","key":"2_CR11","doi-asserted-by":"publisher","first-page":"e215","DOI":"10.1161\/01.CIR.101.23.e215","volume":"101","author":"A Goldberger","year":"2000","unstructured":"Goldberger, A., et al.: Physiobank, physiotoolkit, and physionet: components of a new research resource for complex physiologic signals. Circulation 101(23), e215\u2013e220 (2000)","journal-title":"Circulation"},{"issue":"1","key":"2_CR12","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1007\/s00034-017-0551-4","volume":"37","author":"KP Thomas","year":"2018","unstructured":"Thomas, K.P., Vinod, A.P.: EEG-based biometric authentication using gamma band power during rest state. Circ. Syst. Signal Process 37(1), 277\u2013289 (2018)","journal-title":"Circ. Syst. Signal Process"},{"key":"2_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-3-642-41320-9_1","volume-title":"Financial Cryptography and Data Security","author":"J Chuang","year":"2013","unstructured":"Chuang, J., Nguyen, H., Wang, C., Johnson, B.: I think, therefore i am: usability and security of authentication using brainwaves. In: Adams, A.A., Brenner, M., Smith, M. (eds.) FC 2013. LNCS, vol. 7862, pp. 1\u201316. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-41320-9_1"}],"container-title":["Lecture Notes in Computer Science","Biometric Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-86608-2_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,9,9]],"date-time":"2021-09-09T05:04:28Z","timestamp":1631163868000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-86608-2_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030866075","9783030866082"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-86608-2_2","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"8 September 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CCBR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chinese Conference on Biometric Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Shanghai","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":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 September 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 September 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ccbr2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ccbr99.cn\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"72","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"53","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"74% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.1","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Full papers are up to 11 pages long.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}