{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:35:17Z","timestamp":1777703717261,"version":"3.51.4"},"reference-count":23,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2018,6,21]],"date-time":"2018-06-21T00:00:00Z","timestamp":1529539200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2018,7,27]]},"abstract":"<jats:p>EEG (Electroencephalography)-based motor imagery signal classification is very important in brain-computer interface (BCI) technology. In this paper, we improve a classification method by utilizing AdaBoost, an extension of artificial intelligence (AI), instead of linear discriminant analysis (LDA). In order to confirm the classification improvement, the classification accuracy of LDA and AdaBoost has been analyzed. The data set used in the simulation was Data set III of BCI Competition II, and the Matlab tool has been used for the simulation. The results of the proposed scheme with Adaboost show a dramatic improvement in classification compared to that than LDA.<\/jats:p>","DOI":"10.3233\/jifs-169567","type":"journal-article","created":{"date-parts":[[2018,6,22]],"date-time":"2018-06-22T11:20:48Z","timestamp":1529666448000},"page":"63-68","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":3,"title":["An enhanced classification scheme with AdaBoost concept in BCI"],"prefix":"10.1177","volume":"35","author":[{"given":"June-Hyoung","family":"Kim","sequence":"first","affiliation":[{"name":"Graduate Program, Kumoh National Inst. of Tech.1 Yangho-dong, Gumi, Gyeongbuk, Korea"}]},{"given":"Yeon-Mo","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Electronic Eng., Kumoh National Inst. of Tech.1 Yangho-dong, Gumi, Gyeongbuk, Korea"}]}],"member":"179","published-online":{"date-parts":[[2018,6,21]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2010.2082539"},{"key":"e_1_3_2_3_2","article-title":"Applying Kalman filter in EEG-based brain computer interface for motor imagery classification","author":"Aznan N.","year":"2013","unstructured":"N.K.N.Aznan and Y.-M.Yang, Applying Kalman filter in EEG-based brain computer interface for motor imagery classification, IEEE International Conference on ICT Con- vergence (ICTC), 2013.","journal-title":"IEEE International Conference on ICT Con- vergence (ICTC)"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1504\/IJTMCP.2016.078426"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1504\/IJTMCP.2016.078431"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2006.875642"},{"key":"e_1_3_2_7_2","article-title":"Comparative anal- ysis of classification techniques for motor imagery based BCI","author":"Jois K.","year":"2015","unstructured":"K.Jois, R.Garg, V.Singh and A.Darji, Comparative anal- ysis of classification techniques for motor imagery based BCI, IEEE Workshop on Computational Intelligence, 2015.","journal-title":"IEEE Workshop on Computational Intelligence"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2015.2450680"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2015.2466079"},{"key":"e_1_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2015.2477687"},{"key":"e_1_3_2_11_2","article-title":"Classification of Imagi- nary Movement EEG Signals using Variance-Considered Machines","author":"Yeom H.-G.","year":"2009","unstructured":"H.-G.Yeom and K.-B.Sim, Classification of Imagi- nary Movement EEG Signals using Variance-Considered Machines, KICS Fall Conference, 2009.","journal-title":"KICS Fall Conference"},{"issue":"1","key":"e_1_3_2_12_2","first-page":"153","article-title":"Performance 256 improvements of brain-computer interface systems based on variance considered machines","volume":"20","author":"Yeom H.-G.","year":"2010","unstructured":"H.-G.Yeom and K.-B.Sim, Performance 256 improvements of brain-computer interface systems based on variance considered machines, IJFIS20(1) (2010), 153\u2013158.","journal-title":"IJFIS"},{"key":"e_1_3_2_13_2","author":"CT Detailed Report:","year":"2011","unstructured":"CT Detailed Report:BCI Technologies Trends(in Korean), KICCA, 2011.","journal-title":"BCI Technologies Trends"},{"key":"e_1_3_2_14_2","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-84996-272-8","author":"Tan D.S.","year":"2010","unstructured":"D.S.Tan and A.Nijholt, Brain-Computer Interfaces: Apply ing our Minds to Human-Computer Interaction London, Springer-Verlag, 2010.","journal-title":"Brain-Computer Interfaces: Apply ing our Minds to Human-Computer Interaction London"},{"key":"e_1_3_2_15_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.tibtech.2010.08.002"},{"key":"e_1_3_2_16_2","author":"Hong S.","year":"2012","unstructured":"S.Hong and D.Jang, Beyond Neuroscuence and the Next, (in Korean), Neuroscience Group, Bada Publisher, 2012.","journal-title":"Beyond Neuroscuence and the Next"},{"key":"e_1_3_2_17_2","doi-asserted-by":"publisher","DOI":"10.1113\/jphysiol.2006.125633"},{"key":"e_1_3_2_18_2","author":"Patnaik S.","year":"2014","unstructured":"S.Patnaik and Y.-M.Yang, Soft Computing Techniques in Vision Science (Studies in Computational Intelligence), Spinger, 2014.","journal-title":"Soft Computing Techniques in Vision Science (Studies in Computational Intelligence)"},{"issue":"1","key":"e_1_3_2_19_2","first-page":"142","article-title":"Comparative study on fea- ture extraction algorithms for EEG based brain-computer interface","volume":"38","author":"Cho H.","year":"2011","unstructured":"H.Cho, M.Ahn and S.C.Jun, Comparative study on fea- ture extraction algorithms for EEG based brain-computer interface, KIISE Conference38(1) (2011), 142\u2013145.","journal-title":"KIISE Conference"},{"issue":"6","key":"e_1_3_2_20_2","first-page":"786","article-title":"Optimal EEG feature extraction using DWT for classification of imagina- tion of hands movement","volume":"21","author":"Cjum P.","year":"2011","unstructured":"P.Cjum, S.-M.Park, K.-E.Ko and K.-B.Sim, Optimal EEG feature extraction using DWT for classification of imagina- tion of hands movement, IJFIS21(6) (2011), 786\u2013791.","journal-title":"IJFIS"},{"key":"e_1_3_2_21_2","first-page":"121","article-title":"EEG-based motor imagery analysis using empirical mode decomposition","author":"Lee D.","year":"2014","unstructured":"D.Lee, J.-H.Kim, W.-H.Jung, H.-J.Lee and S.-G.Lee, EEG-based motor imagery analysis using empirical mode decomposition, HCI (2014), 121\u2013124.","journal-title":"HCI"},{"key":"e_1_3_2_22_2","doi-asserted-by":"publisher","DOI":"10.1504\/IJICT.2016.079962"},{"key":"e_1_3_2_23_2","author":"McCormick Chris","year":"2013","unstructured":"ChrisMcCormick, AdaBoost Tutorial, 2013,","journal-title":"AdaBoost Tutorial"},{"key":"e_1_3_2_24_2","doi-asserted-by":"publisher","DOI":"10.1504\/IJTMCP.2017.083887"}],"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-169567","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.3233\/JIFS-169567","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-169567","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:39:24Z","timestamp":1777455564000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/JIFS-169567"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,6,21]]},"references-count":23,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2018,7,27]]}},"alternative-id":["10.3233\/JIFS-169567"],"URL":"https:\/\/doi.org\/10.3233\/jifs-169567","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,6,21]]}}}