{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T21:06:22Z","timestamp":1743109582540,"version":"3.40.3"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030461393"},{"type":"electronic","value":"9783030461409"}],"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\/978-3-030-46140-9_14","type":"book-chapter","created":{"date-parts":[[2020,4,22]],"date-time":"2020-04-22T07:03:10Z","timestamp":1587538990000},"page":"143-150","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Development of a Hand Gesture Based Control Interface Using Deep Learning"],"prefix":"10.1007","author":[{"given":"Dennis","family":"N\u00fa\u00f1ez-Fern\u00e1ndez","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,4,23]]},"reference":[{"issue":"12","key":"14_CR1","doi-asserted-by":"publisher","first-page":"3941","DOI":"10.1007\/s00521-016-2294-8","volume":"28","author":"OK Oyedotun","year":"2016","unstructured":"Oyedotun, O.K., Khashman, A.: Deep learning in vision-based static hand gesture recognition. Neural Comput. Appl. 28(12), 3941\u20133951 (2016). https:\/\/doi.org\/10.1007\/s00521-016-2294-8","journal-title":"Neural Comput. Appl."},{"key":"14_CR2","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: ImageNet classification with deep convolutional neural networks. In: NIPS, pp. 1097\u20131105 (2012)"},{"key":"14_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"551","DOI":"10.1007\/11550822_86","volume-title":"Artificial Neural Networks: Biological Inspirations \u2013 ICANN 2005","author":"B Kwolek","year":"2005","unstructured":"Kwolek, B.: Face detection using convolutional neural networks and gabor filters. In: Duch, W., Kacprzyk, J., Oja, E., Zadro\u017cny, S. (eds.) ICANN 2005. LNCS, vol. 3696, pp. 551\u2013556. Springer, Heidelberg (2005). https:\/\/doi.org\/10.1007\/11550822_86"},{"issue":"4","key":"14_CR4","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1109\/MCI.2010.938364","volume":"5","author":"I Arel","year":"2010","unstructured":"Arel, I., Rose, D., Karnowski, T.: Research frontier: deep machine learning-a new frontier in artificial intelligence research. Comp. Intell. Mag. 5(4), 13\u201318 (2010)","journal-title":"Comp. Intell. Mag."},{"issue":"5","key":"14_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2629500","volume":"33","author":"J Tompson","year":"2014","unstructured":"Tompson, J., Stein, M., Lecun, Y., Perlin, K.: Real-time continuous pose recovery of human hands using convolutional networks. ACM Trans. Graph. 33(5), 1\u201310 (2014)","journal-title":"ACM Trans. Graph."},{"key":"14_CR6","doi-asserted-by":"crossref","unstructured":"Nagi, J., Ducatelle, F., et al.: Max-pooling convolutional neural networks for vision-based hand gesture recognition. In: IEEE ICSIP, pp. 342\u2013347 (2011)","DOI":"10.1109\/ICSIPA.2011.6144164"},{"key":"14_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"403","DOI":"10.1007\/978-3-319-11179-7_51","volume-title":"Artificial Neural Networks and Machine Learning \u2013 ICANN 2014","author":"P Barros","year":"2014","unstructured":"Barros, P., Magg, S., Weber, C., Wermter, S.: A multichannel convolutional neural network for hand posture recognition. In: Wermter, S., Weber, C., Duch, W., Honkela, T., Koprinkova-Hristova, P., Magg, S., Palm, G., Villa, A.E.P. (eds.) ICANN 2014. LNCS, vol. 8681, pp. 403\u2013410. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-11179-7_51"},{"key":"14_CR8","doi-asserted-by":"crossref","unstructured":"Koller, O., Ney, H., Bowden, R.: Deep hand: How to train a CNN on 1 million hand images when your data is continuous and weakly labelled. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 3793\u20133802 (2016)","DOI":"10.1109\/CVPR.2016.412"},{"key":"14_CR9","doi-asserted-by":"crossref","unstructured":"Yuan, S., Ye, Q., Stenger, B., Jain, S., Kim, T.: BigHand2.2M benchmark: hand pose dataset and state of the art analysis. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, pp. 2605\u20132613 (2017)","DOI":"10.1109\/CVPR.2017.279"},{"key":"14_CR10","doi-asserted-by":"crossref","unstructured":"Bolme, D.S., Beveridge, J.R., Draper, B.A., Lui, Y.M.: Visual object tracking using adaptive correlation filters. In: 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, San Francisco, CA, pp. 2544\u20132550 (2010)","DOI":"10.1109\/CVPR.2010.5539960"},{"issue":"1","key":"14_CR11","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1023\/A:1013200319198","volume":"46","author":"MJ Jones","year":"2002","unstructured":"Jones, M.J., Rehg, J.M.: Statistical color models with application to skin detection. Int. J. Comput. Vision 46(1), 81\u201396 (2002)","journal-title":"Int. J. Comput. Vision"},{"key":"14_CR12","doi-asserted-by":"crossref","unstructured":"Szegedy, C., et al.: Going deeper with convolutions. In: 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA (2015)","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"14_CR13","doi-asserted-by":"crossref","unstructured":"Li, D., Chen, X., Becchi, M., Zong, Z.: Evaluating the energy efficiency of deep convolutional neural networks on CPUs and GPUs. In: 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom) (BDCloud-SocialCom-SustainCom), Atlanta, GA, pp. 477\u2013484 (2016)","DOI":"10.1109\/BDCloud-SocialCom-SustainCom.2016.76"}],"container-title":["Communications in Computer and Information Science","Information Management and Big Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-46140-9_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,16]],"date-time":"2021-10-16T18:25:14Z","timestamp":1634408714000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-46140-9_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030461393","9783030461409"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-46140-9_14","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"23 April 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SIMBig","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Annual International Symposium on Information Management and Big Data","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lima","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Peru","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":"21 August 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 August 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"simbig2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/simbig.org\/SIMBig2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"104","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"15","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"16","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"14% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}