{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T10:18:22Z","timestamp":1779358702297,"version":"3.51.4"},"reference-count":22,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2021,11,23]],"date-time":"2021-11-23T00:00:00Z","timestamp":1637625600000},"content-version":"vor","delay-in-days":326,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62176054"],"award-info":[{"award-number":["62176054"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61773114"],"award-info":[{"award-number":["61773114"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Computational Intelligence and Neuroscience"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:p><jats:italic>Objective<\/jats:italic>. Action intention understanding EEG signal classification is indispensable for investigating human\u2010computer interactions and intention understanding mechanisms. Numerous investigations on classification tasks extract classification features by using graph theory metrics; however, the classification results are usually not good. <jats:italic>Method<\/jats:italic>. To effectively implement the task of action intention understanding EEG signal classification, we proposed a new feature extraction method by improving discriminative spatial patterns. <jats:italic>Results<\/jats:italic>. The whole frequency band and fusion band achieved satisfactory classification accuracies. Compared with other authors\u2019 methods for action intention understanding EEG signal classification, the new method performs more satisfactorily in some aspects. <jats:italic>Conclusions<\/jats:italic>. The new feature extraction method not only effectively avoids complex values when solving the generalized eigenvalue problem but also perfectly realizes appreciable classification accuracies. Fusing the classification features of different frequency bands is a useful strategy for the classification task.<\/jats:p>","DOI":"10.1155\/2021\/1462369","type":"journal-article","created":{"date-parts":[[2021,11,23]],"date-time":"2021-11-23T15:05:09Z","timestamp":1637679909000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Action Intention Understanding EEG Signal Classification Based on Improved Discriminative Spatial Patterns"],"prefix":"10.1155","volume":"2021","author":[{"given":"Xingliang","family":"Xiong","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hua","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8220-9737","authenticated-orcid":false,"given":"Haixian","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8249-1725","authenticated-orcid":false,"given":"Jiuchuan","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2021,11,23]]},"reference":[{"key":"e_1_2_9_1_2","doi-asserted-by":"publisher","DOI":"10.1037\/a0014436"},{"key":"e_1_2_9_2_2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0012160"},{"key":"e_1_2_9_3_2","doi-asserted-by":"publisher","DOI":"10.1152\/physrev.00041.2007"},{"key":"e_1_2_9_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.actpsy.2011.06.006"},{"key":"e_1_2_9_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.concog.2015.03.012"},{"key":"e_1_2_9_6_2","doi-asserted-by":"publisher","DOI":"10.1109\/access.2017.2723428"},{"key":"e_1_2_9_7_2","doi-asserted-by":"crossref","unstructured":"LiuH. 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Action understanding based on a combination of one-versus-rest and one-versus-one multi-classification methods 10 Proceedings of the 2017 10th International Congress on Image and Signal Processing BioMedical Engineering and Informatics (CISP-BMEI) October 2017 Shanghai China 1\u20135 https:\/\/doi.org\/10.1109\/cisp-bmei.2017.8302159 2-s2.0-85047530064.","DOI":"10.1109\/CISP-BMEI.2017.8302159"},{"key":"e_1_2_9_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2017.01.030"},{"key":"e_1_2_9_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2020.101893"},{"key":"e_1_2_9_10_2","doi-asserted-by":"publisher","DOI":"10.3389\/fnhum.2020.00232"},{"key":"e_1_2_9_11_2","doi-asserted-by":"publisher","DOI":"10.1109\/lsp.2019.2906824"},{"key":"e_1_2_9_12_2","first-page":"67","article-title":"Classification of intention understanding using EEG-NIRS bimodal system","volume":"12","author":"Zhang Z.","year":"2016","journal-title":"International Computer Conference on Wavelet Active Media Technology & Information Processing"},{"key":"e_1_2_9_13_2","doi-asserted-by":"publisher","DOI":"10.1142\/s0129065716500325"},{"key":"e_1_2_9_14_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10548-017-0614-7"},{"key":"e_1_2_9_15_2","doi-asserted-by":"publisher","DOI":"10.1109\/tbme.2006.889206"},{"key":"e_1_2_9_16_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2003.10.009"},{"key":"e_1_2_9_17_2","unstructured":"XiongX. 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