{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:46:00Z","timestamp":1742913960852,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031189098"},{"type":"electronic","value":"9783031189104"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":[[2022]]},"DOI":"10.1007\/978-3-031-18910-4_10","type":"book-chapter","created":{"date-parts":[[2022,10,26]],"date-time":"2022-10-26T23:03:53Z","timestamp":1666825433000},"page":"113-125","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Zero-Training Method for\u00a0RSVP-Based Brain Computer Interface"],"prefix":"10.1007","author":[{"given":"Xujin","family":"Li","sequence":"first","affiliation":[]},{"given":"Shuang","family":"Qiu","sequence":"additional","affiliation":[]},{"given":"Wei","family":"Wei","sequence":"additional","affiliation":[]},{"given":"Huiguang","family":"He","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,10,27]]},"reference":[{"key":"10_CR1","doi-asserted-by":"crossref","unstructured":"Wolpaw, J.R., et al.: Brain-computer interfaces for communication and control. Clin. Neurophysiol. 113(6), pp. 767\u2013791 (2002)","DOI":"10.1016\/S1388-2457(02)00057-3"},{"issue":"1","key":"10_CR2","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1109\/JOE.2015.2408471","volume":"41","author":"C Barngrover","year":"2015","unstructured":"Barngrover, C., et al.: A brain-computer interface (BCI) for the detection of mine-like objects in sidescan sonar imagery. IEEE J. Ocean. Eng. 41(1), 123\u2013138 (2015)","journal-title":"IEEE J. Ocean. Eng."},{"key":"10_CR3","doi-asserted-by":"crossref","unstructured":"Acqualagna, L., Blankertz, B.: Gaze-independent BCI-spelling using rapid serial visual presentation (RSVP). Clin. Neurophysiol. 124(5), 901\u2013908 (2013)","DOI":"10.1016\/j.clinph.2012.12.050"},{"key":"10_CR4","doi-asserted-by":"crossref","unstructured":"Lin, Z., et al.: A novel P300 BCI speller based on the triple RSVP paradigm. Sci. Rep. 8(1), 1\u20139 (2018)","DOI":"10.1038\/s41598-018-21717-y"},{"key":"10_CR5","doi-asserted-by":"crossref","unstructured":"Pohlmeyer, E.A., et al.: Closing the loop in cortically-coupled computer vision: a brain-computer interface for searching image databases. J. Neural Eng. 8(3), 036025 (2011)","DOI":"10.1088\/1741-2560\/8\/3\/036025"},{"issue":"2","key":"10_CR6","doi-asserted-by":"publisher","first-page":"174","DOI":"10.1109\/TNSRE.2006.875550","volume":"14","author":"AD Gerson","year":"2006","unstructured":"Gerson, A.D., et al.: Cortically coupled computer vision for rapid image search. IEEE Trans. Neural Syst. Rehabil. Eng. 14(2), 174\u2013179 (2006)","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"issue":"3","key":"10_CR7","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1109\/TNSRE.2015.2502323","volume":"24","author":"AR Marathe","year":"2015","unstructured":"Marathe, A.R., et al.: Improved neural signal classification in a rapid serial visual presentation task using active learning. IEEE Trans. Neural Syst. Rehabil. Eng. 24(3), 333\u2013343 (2015)","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"10_CR8","unstructured":"Barachant, A., Congedo, M.: A plug play P300 BCI using information geometry, August 2014. arXiv:1409.0107"},{"issue":"5","key":"10_CR9","doi-asserted-by":"publisher","first-page":"1107","DOI":"10.1109\/TBME.2017.2742541","volume":"65","author":"P Zanini","year":"2018","unstructured":"Zanini, P., Congedo, M., Jutten, C., Said, S., Berthoumieu, Y.: Transfer learning: a Riemannian geometry framework with applications to brain-computer interfaces. IEEE Trans. Biomed. Eng. 65(5), 1107\u20131116 (2018). https:\/\/doi.org\/10.1109\/TBME.2017.2742541","journal-title":"IEEE Trans. Biomed. Eng."},{"issue":"3","key":"10_CR10","doi-asserted-by":"publisher","first-page":"433","DOI":"10.1109\/TPAMI.2010.125","volume":"33","author":"H Cecotti","year":"2011","unstructured":"Cecotti, H., Graser, A.: Convolutional neural networks for P300 detection with application to brain-computer interfaces. IEEE Trans. Pattern Anal. Mach. Intell. 33(3), 433\u2013445 (2011). https:\/\/doi.org\/10.1109\/TPAMI.2010.125","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10_CR11","doi-asserted-by":"publisher","first-page":"146","DOI":"10.3389\/fncom.2015.00146","volume":"9","author":"R Manor","year":"2015","unstructured":"Manor, R., Geva, A.B.: Convolutional neural network for multi-category rapid serial visual presentation BCI. Front. Comput. Neurosci. 9, 146 (2015)","journal-title":"Front. Comput. Neurosci."},{"key":"10_CR12","doi-asserted-by":"crossref","unstructured":"Shan, H., Liu, Y., Stefanov, T.P.: A simple convolutional neural network for accurate P300 detection and character spelling in brain computer interface. In: IJCAI, pp. 1604\u20131610, July 2018","DOI":"10.24963\/ijcai.2018\/222"},{"issue":"5","key":"10_CR13","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/aace8c","volume":"15","author":"VJ Lawhern","year":"2018","unstructured":"Lawhern, V.J., et al.: EEGNet: a compact convolutional neural network for EEG-based brain-computer interfaces. J. Neural Eng. 15(5), 056013 (2018)","journal-title":"J. Neural Eng."},{"key":"10_CR14","unstructured":"Chollet, F.: Xception: deep learning with depthwise separable convolutions. CoRR, vol. abs\/1610.02357 (2016). http:\/\/arxiv.org\/abs\/1610.02357"},{"key":"10_CR15","doi-asserted-by":"publisher","first-page":"74385","DOI":"10.1109\/ACCESS.2020.2988057","volume":"8","author":"J Lee","year":"2020","unstructured":"Lee, J., et al.: CNN with large data achieves true zero-training in online P300 brain-computer interface. IEEE Access 8, 74385\u201374400 (2020)","journal-title":"IEEE Access"},{"key":"10_CR16","unstructured":"Naz, S., Bawane, N.: Recent trends in BCI based speller system: a survey report. Int. J. Eng. Sci. 6(7) (2016)"},{"key":"10_CR17","unstructured":"Velickovic, P., Cucurull, G., Casanova, A., Romero, A., Lio, P., Bengio, Y.: Graph attention networks. In: Proceedings of ICLR (2018)"},{"key":"10_CR18","unstructured":"Torralba, A ., et al.: The MIT-CSAIL Database of Objects and Scenes. http:\/\/web.mit.edu\/torralba\/www\/database.html"},{"key":"10_CR19","unstructured":"Vaswani, A., et al.: Attention is all you need. arXiv preprint arXiv:1706.03762 (2017)"},{"key":"10_CR20","unstructured":"Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. arXiv preprint, arXiv:1412.6980, December 2014"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition and Computer Vision"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-18910-4_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,26]],"date-time":"2022-10-26T23:32:31Z","timestamp":1666827151000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-18910-4_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031189098","9783031189104"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-18910-4_10","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"27 October 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PRCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chinese Conference on Pattern Recognition and Computer Vision  (PRCV)","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Shenzhen","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":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 October 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 October 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ccprcv2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/en.prcv.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":"microsoft","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"564","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":"233","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":"41% - 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":"3.03","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":"3.35","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)"}}]}}