{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:13:07Z","timestamp":1750219987497,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":15,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,11,17]],"date-time":"2022-11-17T00:00:00Z","timestamp":1668643200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,11,17]]},"DOI":"10.1145\/3581807.3581876","type":"proceedings-article","created":{"date-parts":[[2023,5,23]],"date-time":"2023-05-23T00:02:28Z","timestamp":1684800148000},"page":"471-477","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["The Classification Method of EEG Motor Imagery Based on INFO-LSSVM"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5790-4567","authenticated-orcid":false,"given":"Xinrong","family":"Wang","sequence":"first","affiliation":[{"name":"Tianjin University of Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3024-4167","authenticated-orcid":false,"given":"Abdelkader Nasreddine","family":"Belkacem","sequence":"additional","affiliation":[{"name":"Department of Computer and Network Engineering, College of Information Technology, UAE University, UAE"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4238-6787","authenticated-orcid":false,"given":"Penghai","family":"Li","sequence":"additional","affiliation":[{"name":"Tianjin University of Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6201-4606","authenticated-orcid":false,"given":"Zufeng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Tianjin Medical University General Hospital, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1193-635X","authenticated-orcid":false,"given":"Jun","family":"Liang","sequence":"additional","affiliation":[{"name":"Tianjin Medical University General Hospital, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0336-1392","authenticated-orcid":false,"given":"Dongdong","family":"Du","sequence":"additional","affiliation":[{"name":"China Academy of Industrial Internet, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7358-4332","authenticated-orcid":false,"given":"Chao","family":"Chen","sequence":"additional","affiliation":[{"name":"Tianjin University of Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,5,22]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Brain-computer interface: a gentle introduction [M]. The frontiers collection berlin","author":"GRAIMANN B, ALLISON B, PFURTSCHELLER","year":"2009","unstructured":"GRAIMANN B, ALLISON B, PFURTSCHELLER G. Brain-computer interface: a gentle introduction [M]. The frontiers collection berlin . Heidelberg : Sringer , 2009 : 1\u201327. GRAIMANN B, ALLISON B, PFURTSCHELLER G. Brain-computer interface: a gentle introduction [M]. The frontiers collection berlin. Heidelberg: Sringer, 2009: 1\u201327."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/S1388-2457(99)00141-8"},{"issue":"4","key":"e_1_3_2_1_3_1","first-page":"1042","article-title":"Pattern recognition of motor imagery EEG signals based on deep convolutional networks [J]","volume":"41","author":"Shoujun Huo","year":"2020","unstructured":"Huo Shoujun , Hao Yan , Shi Huiyu , Pattern recognition of motor imagery EEG signals based on deep convolutional networks [J] . Computer Applications , 2020 , 41 ( 4 ): 1042 \u2013 1048 .HUO Shou-jun, HAO Yan, SHI Hui -yu, Pattern recognition of motor imagery EEG based on deep convolutional networks [J]. Computer Applications, 2020, 41(4): 1042\u20131048. Huo Shoujun, Hao Yan, Shi Huiyu, Pattern recognition of motor imagery EEG signals based on deep convolutional networks [J]. Computer Applications, 2020, 41(4): 1042\u20131048.HUO Shou-jun, HAO Yan, SHI Hui -yu, Pattern recognition of motor imagery EEG based on deep convolutional networks [J]. Computer Applications, 2020, 41(4): 1042\u20131048.","journal-title":"Computer Applications"},{"key":"e_1_3_2_1_4_1","first-page":"73","article-title":"Comparative analysis of feature extraction techniques in motor imagery EEG signal classification [C]\/\/ Proceedings of First International Conference on Smart System, Innovations and Computing. Smart Innovation","volume":"79","author":"CHATTERJEE R, BANDYOPADHYAY T, SANYAL D K","year":"2018","unstructured":"CHATTERJEE R, BANDYOPADHYAY T, SANYAL D K , etal. Comparative analysis of feature extraction techniques in motor imagery EEG signal classification [C]\/\/ Proceedings of First International Conference on Smart System, Innovations and Computing. Smart Innovation , Systems and Technologies. Jaipur: Springer , 2018 , 79 : 73 \u2013 83 . CHATTERJEE R, BANDYOPADHYAY T, SANYAL D K, etal. Comparative analysis of feature extraction techniques in motor imagery EEG signal classification [C]\/\/ Proceedings of First International Conference on Smart System, Innovations and Computing. Smart Innovation, Systems and Technologies. Jaipur: Springer, 2018, 79: 73\u201383.","journal-title":"Systems and Technologies. Jaipur: Springer"},{"key":"e_1_3_2_1_5_1","first-page":"5392","article-title":"Common spatial pattern method for channel selection in motor imagery based brain-computer interface [C]\/\/ International Conference of the Engineering","volume":"2005","author":"WANG Y J, GAO S K, GAO X","unstructured":"WANG Y J, GAO S K, GAO X R , Common spatial pattern method for channel selection in motor imagery based brain-computer interface [C]\/\/ International Conference of the Engineering in Medicine and Biology Society. Shanghai: IEEE , 2005 : 5392 \u2013 5395 . WANG Y J, GAO S K, GAO X R, Common spatial pattern method for channel selection in motor imagery based brain-computer interface [C]\/\/ International Conference of the Engineering in Medicine and Biology Society. Shanghai: IEEE,2005: 5392\u20135395.","journal-title":"Medicine and Biology Society. Shanghai: IEEE"},{"key":"e_1_3_2_1_6_1","volume-title":"Filter bank common spatial pattern (FBCSP) in brain-computer interface [C]\/\/Proceedings of the IEEE International Joint Conference on Neural Networks","author":"ANG K K, CHINY C, ZHANG H","year":"2008","unstructured":"ANG K K, CHINY C, ZHANG H H , Filter bank common spatial pattern (FBCSP) in brain-computer interface [C]\/\/Proceedings of the IEEE International Joint Conference on Neural Networks . Hong Kong : IEEE , 2008 : 2391\u20132398. ANG K K, CHINY C, ZHANG H H, Filter bank common spatial pattern (FBCSP) in brain-computer interface [C]\/\/Proceedings of the IEEE International Joint Conference on Neural Networks. Hong Kong: IEEE, 2008: 2391\u20132398."},{"issue":"2","key":"e_1_3_2_1_7_1","first-page":"338","article-title":"Four types of motor imagery EEG feature extraction and classification algorithm [J]","volume":"46","author":"Jinhe Shi","year":"2012","unstructured":"Shi Jinhe , Shen Jizhong , Wang Pan . Four types of motor imagery EEG feature extraction and classification algorithm [J] . Journal of Zhejiang University: Engineering Science , 2012 , 46 ( 2 ): 338 \u2013 344 . Shi Jinhe, Shen Jizhong, Wang Pan. Four types of motor imagery EEG feature extraction and classification algorithm [J]. Journal of Zhejiang University: Engineering Science, 2012, 46(2): 338\u2013344.","journal-title":"Journal of Zhejiang University: Engineering Science"},{"issue":"2","key":"e_1_3_2_1_8_1","first-page":"338","article-title":"Feature extraction and classification of four-class motor imagery EEG data [J]","volume":"46","author":"SHI","year":"2012","unstructured":"SHI Jin-he, SHEN Ji-zhong , WANG Pan . Feature extraction and classification of four-class motor imagery EEG data [J] . Journal of Zhejiang University: Engineering Science , 2012 , 46 ( 2 ): 338 \u2013 344 SHI Jin-he, SHEN Ji-zhong , WANG Pan. Feature extraction and classification of four-class motor imagery EEG data [J]. Journal of Zhejiang University: Engineering Science, 2012, 46(2):338\u2013344","journal-title":"Journal of Zhejiang University: Engineering Science"},{"key":"e_1_3_2_1_9_1","volume-title":"Motor imagery EEG classification based on dynamic ICA mixing matrix[C] 2010 4th International Conference on Bioinformatics and Biomedical Engineering","author":"Guo X J","year":"2010","unstructured":"Guo X J , Wu X P. Motor imagery EEG classification based on dynamic ICA mixing matrix[C] 2010 4th International Conference on Bioinformatics and Biomedical Engineering . New York : IEEE Press , 2010 : 1-4 Guo X J, Wu X P. Motor imagery EEG classification based on dynamic ICA mixing matrix[C] 2010 4th International Conference on Bioinformatics and Biomedical Engineering. New York:IEEE Press, 2010: 1-4"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","unstructured":"Saka K Aydemir \u00f6 \u00f6zt \u00fc rk M.Classification of EEG signals recorded during right\/ left hand movement imagery using fast Walsh Hadamard transform based features[C]2016 39th International Conference on Telecommunications and Signal Processing (TSP). New York: IEEE Press 2016: 413-416.  Saka K Aydemir \u00f6 \u00f6zt \u00fc rk M.Classification of EEG signals recorded during right\/ left hand movement imagery using fast Walsh Hadamard transform based features[C]2016 39th International Conference on Telecommunications and Signal Processing (TSP). New York: IEEE Press 2016: 413-416.","DOI":"10.1109\/TSP.2016.7760909"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.116516"},{"issue":"2","key":"e_1_3_2_1_12_1","first-page":"48","article-title":"Motor fault diagnosis based on wavelet packet and AFSA-SVM[J]","volume":"44","author":"Yelin Hu","year":"2021","unstructured":"Hu Yelin , Dai Bin , Song Xiao . Motor fault diagnosis based on wavelet packet and AFSA-SVM[J] . Electronic Measurement Technology , 2021 , 44 ( 2 ): 48 - 55 . Hu Yelin, Dai Bin, Song Xiao. Motor fault diagnosis based on wavelet packet and AFSA-SVM[J]. Electronic Measurement Technology, 2021, 44(2): 48-55.","journal-title":"Electronic Measurement Technology"},{"issue":"12","key":"e_1_3_2_1_13_1","first-page":"126","article-title":"Traffic flow combined prediction model based on EEMD-IPSO-LSSVM [J]","volume":"33","author":"Lisheng Yin","year":"2019","unstructured":"Yin Lisheng , Tang Shengqi , Li Sheng , etc. Traffic flow combined prediction model based on EEMD-IPSO-LSSVM [J] . Journal of Electronic Measurement and Instrumentation , 2019 , 33 ( 12 ): 126 - 133 . Yin Lisheng, Tang Shengqi, Li Sheng, etc. Traffic flow combined prediction model based on EEMD-IPSO-LSSVM [J]. Journal of Electronic Measurement and Instrumentation, 2019, 33(12): 126-133.","journal-title":"Journal of Electronic Measurement and Instrumentation"},{"key":"e_1_3_2_1_14_1","volume-title":"R language prediction practice [M]","author":"Haolin You","year":"2016","unstructured":"You Haolin . R language prediction practice [M] . Beijing : Electronic Industry Press , 2016 : 343-344. You Haolin. R language prediction practice [M]. Beijing: Electronic Industry Press, 2016: 343-344."},{"key":"e_1_3_2_1_15_1","volume-title":"Research on brain-computer interface technology based on Hilbert-Huang transform and support vector machine optimization [D]","author":"Xin He","year":"2021","unstructured":"He Xin . Research on brain-computer interface technology based on Hilbert-Huang transform and support vector machine optimization [D] . Shandong University , 2021 . DOI: 10.27272\/d.cnki.gshdu.2021.001277. 10.27272\/d.cnki.gshdu.2021.001277 He Xin. Research on brain-computer interface technology based on Hilbert-Huang transform and support vector machine optimization [D]. Shandong University, 2021. DOI: 10.27272\/d.cnki.gshdu.2021.001277."}],"event":{"name":"ICCPR 2022: 2022 11th International Conference on Computing and Pattern Recognition","acronym":"ICCPR 2022","location":"Beijing China"},"container-title":["Proceedings of the 2022 11th International Conference on Computing and Pattern Recognition"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3581807.3581876","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3581807.3581876","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:49:30Z","timestamp":1750182570000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3581807.3581876"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,17]]},"references-count":15,"alternative-id":["10.1145\/3581807.3581876","10.1145\/3581807"],"URL":"https:\/\/doi.org\/10.1145\/3581807.3581876","relation":{},"subject":[],"published":{"date-parts":[[2022,11,17]]},"assertion":[{"value":"2023-05-22","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}