{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,12]],"date-time":"2024-09-12T01:49:53Z","timestamp":1726105793090},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030638351"},{"type":"electronic","value":"9783030638368"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-63836-8_10","type":"book-chapter","created":{"date-parts":[[2020,11,18]],"date-time":"2020-11-18T09:12:07Z","timestamp":1605690727000},"page":"110-121","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Phase Synchronization Indices for Classification of Action Intention Understanding Based on EEG Signals"],"prefix":"10.1007","author":[{"given":"Xingliang","family":"Xiong","sequence":"first","affiliation":[]},{"given":"Xuesong","family":"Lu","sequence":"additional","affiliation":[]},{"given":"Lingyun","family":"Gu","sequence":"additional","affiliation":[]},{"given":"Hongfang","family":"Han","sequence":"additional","affiliation":[]},{"given":"Zhongxian","family":"Hong","sequence":"additional","affiliation":[]},{"given":"Haixian","family":"Wang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,11,19]]},"reference":[{"key":"10_CR1","unstructured":"Zhang, Z., Yang, Q., Leng, Y., Yang, Y., Ge, S.: Classification of intention understanding using EEG-NIRS bimodal system. In: 12th International Computer Conference on Wavelet Active Media Technology & Information Processing, Chengdu, pp. 67\u201370. IEEE (2015)"},{"issue":"2","key":"10_CR2","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1080\/15248370701202331","volume":"8","author":"C Brune","year":"2007","unstructured":"Brune, C., Woodward, A.L.: Social cognition and social responsiveness in 10-month-old infants. J. Cogn. Dev. 8(2), 133\u2013158 (2007)","journal-title":"J. Cogn. Dev."},{"key":"10_CR3","doi-asserted-by":"publisher","first-page":"426","DOI":"10.1016\/j.concog.2015.03.012","volume":"36","author":"C Catmur","year":"2015","unstructured":"Catmur, C.: Understanding intentions from actions: direct perception, inference, and the roles of mirror and mentalizing systems. Conscious. Cogn. 36, 426\u2013433 (2015)","journal-title":"Conscious. Cogn."},{"key":"10_CR4","doi-asserted-by":"publisher","first-page":"e37534","DOI":"10.1371\/journal.pone.0037534","volume":"7","author":"P Avanzini","year":"2012","unstructured":"Avanzini, P., Fabbridestro, M., Volta, R.D., et al.: The dynamics of sensorimotor cortical oscillations during the observation of hand movements: an EEG study. PLoS ONE 7, e37534 (2012)","journal-title":"PLoS ONE"},{"issue":"3","key":"10_CR5","doi-asserted-by":"publisher","first-page":"447","DOI":"10.1007\/s10548-017-0614-7","volume":"31","author":"L Zhang","year":"2017","unstructured":"Zhang, L., Gan, J.Q., Zheng, W., Wang, H.: Spatiotemporal phase synchronization in adaptive reconfiguration from action observation network to mentalizing network for understanding other\u2019s action intention. Brain Topogr. 31(3), 447\u2013467 (2017). https:\/\/doi.org\/10.1007\/s10548-017-0614-7","journal-title":"Brain Topogr."},{"key":"10_CR6","doi-asserted-by":"publisher","first-page":"14245","DOI":"10.1109\/ACCESS.2017.2723428","volume":"5","author":"S Ge","year":"2017","unstructured":"Ge, S., Ding, M., Zhang, Z., et al.: Temporal-spatial features of intention understanding based on EEG-fNIRS bimodal measurement. IEEE Access 5, 14245\u201314258 (2017)","journal-title":"IEEE Access"},{"key":"10_CR7","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1016\/j.robot.2017.04.003","volume":"94","author":"H Dindo","year":"2017","unstructured":"Dindo, H., Lopresti, L., Lacascia, M., Chella, A., Dedi\u0107, R.: Hankelet-based action classification for motor intention recognition. Rob. Auton. Syst. 94, 120\u2013133 (2017)","journal-title":"Rob. Auton. Syst."},{"issue":"2","key":"10_CR8","doi-asserted-by":"publisher","first-page":"026021.1","DOI":"10.1088\/1741-2560\/13\/2\/026021","volume":"13","author":"DT Bundy","year":"2016","unstructured":"Bundy, D.T., Pahwa, M., Szrama, N., et al.: Decoding three-dimensional reaching movements using electrocorticographic signals in humans. J. Neural Eng. 13(2), 026021.1\u2013026021.18 (2016)","journal-title":"J. Neural Eng."},{"key":"10_CR9","doi-asserted-by":"crossref","unstructured":"Liu, H., Zheng, W., Sun, G., et al.: Action understanding based on a combination of one-versus-rest and one-versus-one multi-classification methods. In: 10th International Congress on Image & Signal Processing, Shanghai, pp. 1\u20135. IEEE (2017)","DOI":"10.1109\/CISP-BMEI.2017.8302159"},{"issue":"4","key":"10_CR10","doi-asserted-by":"publisher","first-page":"405","DOI":"10.1007\/s12021-013-9186-1","volume":"11","author":"G Niso","year":"2013","unstructured":"Niso, G., et al.: HERMES: towards an integrated toolbox to characterize functional and effective brain connectivity. Neuroinformatics 11(4), 405\u2013434 (2013). https:\/\/doi.org\/10.1007\/s12021-013-9186-1","journal-title":"Neuroinformatics"},{"key":"10_CR11","doi-asserted-by":"publisher","first-page":"194","DOI":"10.1002\/(SICI)1097-0193(1999)8:4<194::AID-HBM4>3.0.CO;2-C","volume":"8","author":"JP Lachaux","year":"1999","unstructured":"Lachaux, J.P., Rodriguez, E., Martinerie, J., et al.: Measuring phase synchrony in brain signals. Hum. Brain Mapp. 8, 194\u2013208 (1999)","journal-title":"Hum. Brain Mapp."},{"issue":"11","key":"10_CR12","doi-asserted-by":"publisher","first-page":"1178","DOI":"10.1002\/hbm.20346","volume":"28","author":"CJ Stam","year":"2007","unstructured":"Stam, C.J., Nolte, G., Daffertshofer, A.: Phase lag index: assessment of functional connectivity from multichannel EEG and MEG with diminished bias from common sources. Hum. Brain Mapp. 28(11), 1178\u20131193 (2007)","journal-title":"Hum. Brain Mapp."},{"issue":"4","key":"10_CR13","doi-asserted-by":"publisher","first-page":"1548","DOI":"10.1016\/j.neuroimage.2011.01.055","volume":"55","author":"M Vinck","year":"2011","unstructured":"Vinck, M., Oostenveld, R., Wingerden, M.V., Battaglia, F., Pennartz, C.M.A.: An improved index of phase-synchronization for electrophysiological data in the presence of volume-conduction, noise and sample-size bias. Neuroimage 55(4), 1548\u20131565 (2011)","journal-title":"Neuroimage"},{"issue":"1","key":"10_CR14","doi-asserted-by":"publisher","first-page":"253","DOI":"10.1016\/S0079-6123(06)59017-X","volume":"159","author":"R Hari","year":"2006","unstructured":"Hari, R.: Action-perception connection and the cortical mu rhythm. Prog. Brain Res. 159(1), 253\u2013260 (2006)","journal-title":"Prog. Brain Res."},{"issue":"5","key":"10_CR15","doi-asserted-by":"publisher","first-page":"e37534","DOI":"10.1371\/journal.pone.0037534","volume":"7","author":"P Avanzini","year":"2012","unstructured":"Avanzini, P., Fabbri-Destro, M., Volta, R.D., et al.: The dynamics of sensorimotor cortical oscillations during the observation of hand movements: an EEG Study. PLoS ONE 7(5), e37534 (2012)","journal-title":"PLoS ONE"},{"key":"10_CR16","doi-asserted-by":"publisher","first-page":"232","DOI":"10.3389\/fnhum.2020.00232","volume":"14","author":"X Xiong","year":"2020","unstructured":"Xiong, X., Yu, Z., Ma, T., et al.: Weighted brain network metrics for decoding action intention understanding based on EEG. Front. Hum. Neurosci. 14, 232 (2020)","journal-title":"Front. Hum. Neurosci."},{"issue":"8","key":"10_CR17","doi-asserted-by":"publisher","first-page":"e12160","DOI":"10.1371\/journal.pone.0012160","volume":"5","author":"S Ortigue","year":"2010","unstructured":"Ortigue, S., Sinigaglia, C., Rizzolatti, G., Grafton, S.T.: Understanding actions of others: the electrodynamics of the left and right hemispheres. A high-density EEG neuroimaging study. PLoS ONE 5(8), e12160 (2010)","journal-title":"PLoS ONE"},{"issue":"1","key":"10_CR18","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1016\/j.jneumeth.2003.10.009","volume":"134","author":"D Arnaud","year":"2004","unstructured":"Arnaud, D., Scott, M.: EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J. Neurosci. Methods 134(1), 9\u201321 (2004)","journal-title":"J. Neurosci. Methods"},{"issue":"5722","key":"10_CR19","doi-asserted-by":"publisher","first-page":"662","DOI":"10.1126\/science.1106138","volume":"308","author":"L Fogassi","year":"2005","unstructured":"Fogassi, L., Ferrari, P.F., Gesierich, B., et al.: Parietal lobe: from action organization to intention understanding. Science 308(5722), 662\u2013667 (2005)","journal-title":"Science"}],"container-title":["Lecture Notes in Computer Science","Neural Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-63836-8_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T13:29:07Z","timestamp":1710250147000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-63836-8_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030638351","9783030638368"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-63836-8_10","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"19 November 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICONIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Neural Information Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bangkok","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Thailand","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 November 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 November 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iconip2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.apnns.org\/ICONIP2020","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-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":"618","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":"187","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":"189","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":"30% - 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":"3.18","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":"3.68","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":"Due to COVID-19 pandemic the conference was held virtually.","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)"}}]}}