{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T02:37:40Z","timestamp":1742956660279,"version":"3.40.3"},"publisher-location":"Cham","reference-count":9,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030446888"},{"type":"electronic","value":"9783030446895"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-44689-5_1","type":"book-chapter","created":{"date-parts":[[2020,4,11]],"date-time":"2020-04-11T07:02:39Z","timestamp":1586588559000},"page":"3-12","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Classification of Motor Imagery EEG Signal for Navigation of Brain Controlled Drones"],"prefix":"10.1007","author":[{"given":"Somsukla","family":"Maiti","sequence":"first","affiliation":[]},{"family":"Anamika","sequence":"additional","affiliation":[]},{"given":"Atanendu Sekhar","family":"Mandal","sequence":"additional","affiliation":[]},{"given":"Santanu","family":"Chaudhury","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,4,12]]},"reference":[{"key":"1_CR1","unstructured":"Arjovsky, M., Chintala, S., Bottou, L.: Wasserstein generative adversarial networks. In: International Conference on Machine Learning, pp. 214\u2013223 (2017)"},{"key":"1_CR2","unstructured":"Bashivan, P., Rish, I., Yeasin, M., Codella, N.: Learning representations from EEG with deep recurrent-convolutional neural networks. arXiv preprint \narXiv:1511.06448\n\n (2015)"},{"issue":"3","key":"1_CR3","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1080\/2326263X.2017.1297192","volume":"4","author":"M Congedo","year":"2017","unstructured":"Congedo, M., Barachant, A., Bhatia, R.: Riemannian geometry for EEG-based brain-computer interfaces; a primer and a review. Brain-Comput. Interfaces 4(3), 155\u2013174 (2017)","journal-title":"Brain-Comput. Interfaces"},{"issue":"10","key":"1_CR4","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1145\/2001269.2001295","volume":"54","author":"H Lee","year":"2011","unstructured":"Lee, H., Grosse, R., Ranganath, R., Ng, A.Y.: Unsupervised learning of hierarchical representations with convolutional deep belief networks. Commun. ACM 54(10), 95\u2013103 (2011)","journal-title":"Commun. ACM"},{"issue":"6","key":"1_CR5","doi-asserted-by":"publisher","first-page":"566","DOI":"10.1109\/TNSRE.2016.2601240","volume":"25","author":"N Lu","year":"2016","unstructured":"Lu, N., Li, T., Ren, X., Miao, H.: A deep learning scheme for motor imagery classification based on restricted boltzmann machines. IEEE Trans. Neural Syst. Rehabil. Eng. 25(6), 566\u2013576 (2016)","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"issue":"3","key":"1_CR6","doi-asserted-by":"publisher","first-page":"642","DOI":"10.1109\/JBHI.2017.2727218","volume":"22","author":"F Movahedi","year":"2017","unstructured":"Movahedi, F., Coyle, J.L., Sejdi\u0107, E.: Deep belief networks for electroencephalography: a review of recent contributions and future outlooks. IEEE J. Biomed. Health Inform. 22(3), 642\u2013652 (2017)","journal-title":"IEEE J. Biomed. Health Inform."},{"issue":"1","key":"1_CR7","doi-asserted-by":"publisher","first-page":"016003","DOI":"10.1088\/1741-2560\/14\/1\/016003","volume":"14","author":"YR Tabar","year":"2016","unstructured":"Tabar, Y.R., Halici, U.: A novel deep learning approach for classification of eeg motor imagery signals. J. Neural Eng. 14(1), 016003 (2016)","journal-title":"J. Neural Eng."},{"key":"1_CR8","doi-asserted-by":"crossref","unstructured":"Wolpaw, J., Wolpaw, E.W.: Brain-Computer Interfaces: Principles and Practice. OUP, USA (2012)","DOI":"10.1093\/acprof:oso\/9780195388855.001.0001"},{"issue":"10","key":"1_CR9","doi-asserted-by":"publisher","first-page":"1753","DOI":"10.1109\/TNSRE.2016.2627016","volume":"25","author":"F Yger","year":"2016","unstructured":"Yger, F., Berar, M., Lotte, F.: Riemannian approaches in brain-computer interfaces: a review. IEEE Trans. Neural Syst. Rehabil. Eng. 25(10), 1753\u20131762 (2016)","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."}],"container-title":["Lecture Notes in Computer Science","Intelligent Human Computer Interaction"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-44689-5_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,15]],"date-time":"2020-05-15T15:22:11Z","timestamp":1589556131000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-44689-5_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030446888","9783030446895"],"references-count":9,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-44689-5_1","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":"12 April 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IHCI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Human Computer Interaction","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Allahabad","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 December 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 December 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ihci2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ihciconf.org\/2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}