{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,18]],"date-time":"2026-01-18T05:28:48Z","timestamp":1768714128915,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":18,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,4,23]],"date-time":"2021-04-23T00:00:00Z","timestamp":1619136000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"??????","award":["2020KWZ-003"],"award-info":[{"award-number":["2020KWZ-003"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,4,23]]},"DOI":"10.1145\/3467707.3467717","type":"proceedings-article","created":{"date-parts":[[2021,9,24]],"date-time":"2021-09-24T16:06:53Z","timestamp":1632499613000},"page":"69-75","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["A Convolution Neural Network with Mixed-Size Kernels for Time-Frequency Characteristics of Motor Imagery"],"prefix":"10.1145","author":[{"given":"Tangfei","family":"Tao","sequence":"first","affiliation":[{"name":"Xi'an Jiaotong University, China"}]},{"given":"Zezhen","family":"Han","sequence":"additional","affiliation":[{"name":"Xi'an Jiaotong University, China"}]},{"given":"Guanghua","family":"Xu","sequence":"additional","affiliation":[{"name":"Xi'an Jiaotong University, China"}]},{"given":"Kai","family":"Zhang","sequence":"additional","affiliation":[{"name":"Xi'an Jiaotong University, China"}]}],"member":"320","published-online":{"date-parts":[[2021,9,24]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Brain-computer interface technology: a review of the first international meeting.[J]","author":"Wolpaw J","year":"2000","unstructured":"Wolpaw J R, Birbaumer N, Heetderks W J, McFarland D J, Peckham P H, Schalk G, Donchin E, Quatrano L A, Robinson C J, Vaughan T M. Brain-computer interface technology: a review of the first international meeting.[J] . IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society , 2000 ,8(2). Wolpaw J R,Birbaumer N,Heetderks W J,McFarland D J,Peckham P H,Schalk G,Donchin E,Quatrano L A,Robinson C J,Vaughan T M. Brain-computer interface technology: a review of the first international meeting.[J]. IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society,2000,8(2)."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","unstructured":"Ebrahim A. Mousavi Jerome J. Maller Paul B. Fitzgerald Brian J. Lithgow. Wavelet Common Spatial Pattern in asynchronous offline brain computer interfaces[J]. Biomedical Signal Processing and Control 2010 6(2).  Ebrahim A. Mousavi Jerome J. Maller Paul B. Fitzgerald Brian J. Lithgow. Wavelet Common Spatial Pattern in asynchronous offline brain computer interfaces[J]. Biomedical Signal Processing and Control 2010 6(2).","DOI":"10.1016\/j.bspc.2010.08.003"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Ang Kai Keng Chin Zheng Yang Wang Chuanchu Guan Cuntai Zhang Haihong. Filter Bank Common Spatial Pattern Algorithm on BCI Competition IV Datasets 2a and 2b.[J]. Frontiers in neuroscience 2012 6.  Ang Kai Keng Chin Zheng Yang Wang Chuanchu Guan Cuntai Zhang Haihong. Filter Bank Common Spatial Pattern Algorithm on BCI Competition IV Datasets 2a and 2b.[J]. Frontiers in neuroscience 2012 6.","DOI":"10.3389\/fnins.2012.00039"},{"key":"e_1_3_2_1_4_1","volume-title":"Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference,2018","author":"Jacob Petersen","year":"2018","unstructured":"Petersen Jacob , Iversen Helle K, Puthusserypady Sadasivan . Motor Imagery based Brain Computer Interface Paradigm for Upper Limb Stroke Rehabilitation.[J] . Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference,2018 , 2018 . Petersen Jacob,Iversen Helle K,Puthusserypady Sadasivan. Motor Imagery based Brain Computer Interface Paradigm for Upper Limb Stroke Rehabilitation.[J]. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference,2018,2018."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","unstructured":"Bram van de Laar Boris Reuderink Danny Plass-Oude Bos Dirk Heylen. Evaluating User Experience of Actual and Imagined Movement in BCI Gaming[J]. International Journal of Gaming and Computer-Mediated Simulations (IJGCMS) 2010 2(4).  Bram van de Laar Boris Reuderink Danny Plass-Oude Bos Dirk Heylen. Evaluating User Experience of Actual and Imagined Movement in BCI Gaming[J]. International Journal of Gaming and Computer-Mediated Simulations (IJGCMS) 2010 2(4).","DOI":"10.4018\/jgcms.2010100103"},{"key":"e_1_3_2_1_6_1","volume":"2017","author":"Zhang Yu","unstructured":"Yu Zhang , Yu Wang , Jing Jin , Xingyu Wang . Sparse Bayesian Learning for Obtaining Sparsity of EEG Frequency Bands Based Feature Vectors in Motor Imagery Classification[J]. International Journal of Neural Systems , 2017 ,27(2). Yu Zhang,Yu Wang,Jing Jin,Xingyu Wang. Sparse Bayesian Learning for Obtaining Sparsity of EEG Frequency Bands Based Feature Vectors in Motor Imagery Classification[J]. International Journal of Neural Systems,2017,27(2).","journal-title":"International Journal of Neural Systems"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","unstructured":"Jasmin Kevric Abdulhamit Subasi. Comparison of signal decomposition methods in classification of EEG signals for motor-imagery BCI system[J]. Biomedical Signal Processing and Control 2017 31.  Jasmin Kevric Abdulhamit Subasi. Comparison of signal decomposition methods in classification of EEG signals for motor-imagery BCI system[J]. Biomedical Signal Processing and Control 2017 31.","DOI":"10.1016\/j.bspc.2016.09.007"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"Muhammad Zeeshan Baig Nauman Aslam Hubert P.H. Shum Li Zhang. Differential evolution algorithm as a tool for optimal feature subset selection in motor imagery EEG[J]. Expert Systems With Applications 2017 90.  Muhammad Zeeshan Baig Nauman Aslam Hubert P.H. Shum Li Zhang. Differential evolution algorithm as a tool for optimal feature subset selection in motor imagery EEG[J]. Expert Systems With Applications 2017 90.","DOI":"10.1016\/j.eswa.2017.07.033"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"Ang Kai Keng Chin Zheng Yang Wang Chuanchu Guan Cuntai Zhang Haihong. Filter Bank Common Spatial Pattern Algorithm on BCI Competition IV Datasets 2a and 2b.[J]. Frontiers in neuroscience 2012 6.  Ang Kai Keng Chin Zheng Yang Wang Chuanchu Guan Cuntai Zhang Haihong. Filter Bank Common Spatial Pattern Algorithm on BCI Competition IV Datasets 2a and 2b.[J]. Frontiers in neuroscience 2012 6.","DOI":"10.3389\/fnins.2012.00039"},{"key":"e_1_3_2_1_10_1","volume":"2017","author":"Tabar Yousef Rezaei","unstructured":"Yousef Rezaei Tabar , Ugur Halici . A novel deep learning approach for classification of EEG motor imagery signals[J]. Journal of Neural Engineering , 2017 ,14(1). Yousef Rezaei Tabar,Ugur Halici. A novel deep learning approach for classification of EEG motor imagery signals[J]. Journal of Neural Engineering,2017,14(1).","journal-title":"Journal of Neural Engineering"},{"key":"e_1_3_2_1_11_1","first-page":"130","volume":"2017","author":"Tang Zhichuan","unstructured":"Zhichuan Tang , Chao Li , Shouqian Sun . Single-trial EEG classification of motor imagery using deep convolutional neural networks[J]. Optik - International Journal for Light and Electron Optics , 2017 , 130 . Zhichuan Tang,Chao Li,Shouqian Sun. Single-trial EEG classification of motor imagery using deep convolutional neural networks[J]. Optik - International Journal for Light and Electron Optics,2017,130.","journal-title":"International Journal for Light and Electron Optics"},{"issue":"1","key":"e_1_3_2_1_12_1","first-page":"2020","volume":"11","author":"Huynh Phuong","year":"2020","unstructured":"Phuong Huynh , Gregory Warner , Hong Lin. Effects of EMD and Feature Extraction on EEG Analysis - Volume 11 , No. 1 , February 2020 - JAIT[J]. JAIT, 2020 ,11(1). Phuong Huynh,Gregory Warner,Hong Lin. Effects of EMD and Feature Extraction on EEG Analysis - Volume 11, No. 1, February 2020 - JAIT[J]. JAIT,2020,11(1).","journal-title":"Hong Lin. Effects of EMD and Feature Extraction on EEG Analysis -"},{"key":"e_1_3_2_1_13_1","volume":"2018","author":"Lawhern Vernon J","unstructured":"Vernon J Lawhern , Amelia J Solon , Nicholas R Waytowich , Stephen M Gordon , Chou P Hung , Brent J Lance . EEGNet: a compact convolutional neural network for EEG-based brain \u2013computer interfaces[J]. Journal of Neural Engineering , 2018 ,15(5). Vernon J Lawhern,Amelia J Solon,Nicholas R Waytowich,Stephen M Gordon,Chou P Hung,Brent J Lance. EEGNet: a compact convolutional neural network for EEG-based brain\u2013computer interfaces[J]. Journal of Neural Engineering,2018,15(5).","journal-title":"Journal of Neural Engineering"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Schirrmeister Robin Tibor Springenberg Jost Tobias Fiederer Lukas Dominique Josef Glasstetter Martin Eggensperger Katharina Tangermann Michael Hutter Frank Burgard Wolfram Ball Tonio. Deep learning with convolutional neural networks for EEG decoding and visualization[J]. Human Brain Mapping 2017 38(11).  Schirrmeister Robin Tibor Springenberg Jost Tobias Fiederer Lukas Dominique Josef Glasstetter Martin Eggensperger Katharina Tangermann Michael Hutter Frank Burgard Wolfram Ball Tonio. Deep learning with convolutional neural networks for EEG decoding and visualization[J]. Human Brain Mapping 2017 38(11).","DOI":"10.1002\/hbm.23730"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"Dai Guanghai Zhou Jun Huang Jiahui Wang Ning. HS-CNN: a CNN with hybrid convolution scale for EEG motor imagery classification.[J]. Journal of neural engineering 2020 17(1).  Dai Guanghai Zhou Jun Huang Jiahui Wang Ning. HS-CNN: a CNN with hybrid convolution scale for EEG motor imagery classification.[J]. Journal of neural engineering 2020 17(1).","DOI":"10.1088\/1741-2552\/ab405f"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","unstructured":"Kai Zhang Guanghua Xu Zezhen Han Kaiquan Ma Xiaowei Zheng Longting Chen Nan Duan Sicong Zhang. Data Augmentation for Motor Imagery Signal Classification Based on a Hybrid Neural Network[J]. Sensors 2020 20(16).  Kai Zhang Guanghua Xu Zezhen Han Kaiquan Ma Xiaowei Zheng Longting Chen Nan Duan Sicong Zhang. Data Augmentation for Motor Imagery Signal Classification Based on a Hybrid Neural Network[J]. Sensors 2020 20(16).","DOI":"10.3390\/s20164485"},{"key":"e_1_3_2_1_17_1","volume-title":"Improving the Representation of CNN Based Features by Autoencoder for a Task of Construction Material Image Classification,\" Journal of Advances in Information Technology","author":"Bunrit S.","unstructured":"S. Bunrit , N. Kerdprasop , and K. Kerdprasop , \" Improving the Representation of CNN Based Features by Autoencoder for a Task of Construction Material Image Classification,\" Journal of Advances in Information Technology , Vol. 11 , No. 4, pp. 192-199, November 2020. doi: 10.12720\/jait.11.4.192-199 10.12720\/jait.11.4.192-199 S. Bunrit, N. Kerdprasop, and K. Kerdprasop, \"Improving the Representation of CNN Based Features by Autoencoder for a Task of Construction Material Image Classification,\" Journal of Advances in Information Technology, Vol. 11, No. 4, pp. 192-199, November 2020. doi: 10.12720\/jait.11.4.192-199"},{"key":"e_1_3_2_1_18_1","volume-title":"Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference,2018","author":"Yun Luo","year":"2018","unstructured":"Luo Yun , Lu Bao-Liang . EEG Data Augmentation for Emotion Recognition Using a Conditional Wasserstein GAN.[J] . Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference,2018 , 2018 Luo Yun,Lu Bao-Liang. EEG Data Augmentation for Emotion Recognition Using a Conditional Wasserstein GAN.[J]. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference,2018,2018"}],"event":{"name":"ICCAI '21: 2021 7th International Conference on Computing and Artificial Intelligence","location":"Tianjin China","acronym":"ICCAI '21"},"container-title":["2021 7th International Conference on Computing and Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3467707.3467717","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3467707.3467717","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:25:07Z","timestamp":1750195507000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3467707.3467717"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4,23]]},"references-count":18,"alternative-id":["10.1145\/3467707.3467717","10.1145\/3467707"],"URL":"https:\/\/doi.org\/10.1145\/3467707.3467717","relation":{},"subject":[],"published":{"date-parts":[[2021,4,23]]},"assertion":[{"value":"2021-09-24","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}