{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T15:59:57Z","timestamp":1742918397077,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030825645"},{"type":"electronic","value":"9783030825652"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-82565-2_2","type":"book-chapter","created":{"date-parts":[[2021,7,20]],"date-time":"2021-07-20T20:02:54Z","timestamp":1626811374000},"page":"11-20","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Research on Dynamic Sign Language Recognition Based on Key Frame Weighted of DTW"],"prefix":"10.1007","author":[{"given":"ShengWei","family":"Zhang","sequence":"first","affiliation":[]},{"given":"ZhaoSong","family":"Zhu","sequence":"additional","affiliation":[]},{"given":"RongXin","family":"Zhu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,7,21]]},"reference":[{"key":"2_CR1","unstructured":"http:\/\/www.cdpf.org.cn\/sjzx\/cjrgk\/201206\/t20120626_387581.shtml"},{"issue":"3","key":"2_CR2","doi-asserted-by":"publisher","first-page":"984","DOI":"10.1109\/TIM.2003.809484","volume":"52","author":"KN Tarchanidis","year":"2003","unstructured":"Tarchanidis, K.N., Lygouras, J.N.: Data glove with a force sensor. IEEE Trans. Instrum. Meas. 52(3), 984\u2013989 (2003)","journal-title":"IEEE Trans. Instrum. Meas."},{"issue":"2","key":"2_CR3","doi-asserted-by":"publisher","first-page":"501","DOI":"10.1109\/TCE.2010.5505962","volume":"56","author":"Y Han","year":"2010","unstructured":"Han, Y.: A low-cost visual motion data glove as an input device to interpret human hand gestures. IEEE Trans. Consumer Electron. 56(2), 501\u2013509 (2010)","journal-title":"IEEE Trans. Consumer Electron."},{"key":"2_CR4","unstructured":"Hernandez-Rebollar, J.L., Kyriakopoulos, N., Lindeman, R.W.: A new instrumented approach for translating American Sign Language into sound and text. In: Proceedings of the Sixth IEEE International Conference on Automatic Face and Gesture Recognition, pp. 547\u2013552. IEEE (2004)"},{"key":"2_CR5","doi-asserted-by":"crossref","unstructured":"Kim, J.H., Thang, N.D., Kim, T.S.: 3-D hand motion tracking and gesture recognition using a data glove. In: IEEE International Symposium on Industrial Electronics, 2009. ISIE 2009, pp. 1013\u20131018. IEEE (2009)","DOI":"10.1109\/ISIE.2009.5221998"},{"issue":"12","key":"2_CR6","doi-asserted-by":"publisher","first-page":"2389","DOI":"10.1016\/S0031-3203(04)00165-7","volume":"37","author":"W Gao","year":"2004","unstructured":"Gao, W., et al.: A Chinese sign language recognition system based on SOFM\/SRN\/HMM. Pattern Recogn. 37(12), 2389\u20132402 (2004)","journal-title":"Pattern Recogn."},{"key":"2_CR7","unstructured":"Deng, J., Tsui, H.T.: A Two-step Approach based on PaHMM for the Recognition of ASL. ACCV (2002)"},{"issue":"4","key":"2_CR8","first-page":"41","volume":"2012","author":"M Maraqa","year":"2012","unstructured":"Maraqa, M., Al-Zboun, F., Dhyabat, M., Zitar, R.A.: Recognition of Arabic sign language (ArSL) using recurrent neural networks. J. Intell. Learn. Syst. Appl. 2012(4), 41\u201352 (2012)","journal-title":"J. Intell. Learn. Syst. Appl."},{"key":"2_CR9","unstructured":"Ong, E.J., Bowden, R.: A boosted classifier tree for hand shape detection. In: Proceedings of the Sixth IEEE International Conference on Automatic Face and Gesture Recognition, pp. 889\u2013894. IEEE (2004)"},{"issue":"3","key":"2_CR10","first-page":"476","volume":"43","author":"Z Liangguo","year":"2015","unstructured":"Liangguo, Z., et al.: A medium vocabulary Chinese sign language visual recognition system. Comput. Res. Dev. 43(3), 476\u2013482 (2015)","journal-title":"Comput. Res. Dev."},{"key":"2_CR11","doi-asserted-by":"crossref","unstructured":"Vogler, C., Metaxas, D.: Toward scalability in ASL recognition: breaking down signs into phonemes. Gesture-based Communication in Human-Computer Interaction, pp. 211\u2013224. Springer Berlin Heidelberg (1999)","DOI":"10.1007\/3-540-46616-9_19"},{"key":"2_CR12","doi-asserted-by":"crossref","unstructured":"Vogler, C., Metaxas, D.: Parallel hidden Markov models for American sign language recognition. In: The Proceedings of the Seventh IEEE International Conference on Computer Vision, vol. 1, pp. 116\u2013122. IEEE (1999)","DOI":"10.1109\/ICCV.1999.791206"},{"key":"2_CR13","doi-asserted-by":"crossref","unstructured":"Utsumi, A., et al.: Hand gesture recognition system using multiple cameras. In: Proceedings of the 13th International Conference on Pattern Recognition, vol. 1, pp. 667\u2013671. IEEE (1996)","DOI":"10.1109\/ICPR.1996.546108"},{"key":"2_CR14","doi-asserted-by":"crossref","unstructured":"Argyros, A., Lourakis, M.I.A.: Binocular hand tracking and reconstruction based on 2D shape matching. In: 18th International Conference on Pattern Recognition, 2006. ICPR 2006, vol. 1, pp. 207\u2013210. IEEE (2006)","DOI":"10.1109\/ICPR.2006.327"},{"key":"2_CR15","doi-asserted-by":"crossref","unstructured":"Jang, Y.: Gesture recognition using depth-based hand tracking for contactless controller application. In: 2012 IEEE International Conference on Consumer Electronics (ICCE), pp. 297\u2013298 (2012)","DOI":"10.1109\/ICCE.2012.6161876"},{"key":"2_CR16","unstructured":"Chai, X., et al.: Sign language recognition and translation with Kinect. In: IEEE Conf. on AFGR (2013)"},{"issue":"22","key":"2_CR17","doi-asserted-by":"publisher","first-page":"14991","DOI":"10.1007\/s11042-015-2451-6","volume":"75","author":"G Marin","year":"2015","unstructured":"Marin, G., Dominio, F., Zanuttigh, P.: Hand gesture recognition with jointly calibrated leap motion and depth sensor. Multimedia Tools Appl. 75(22), 14991\u201315015 (2015). https:\/\/doi.org\/10.1007\/s11042-015-2451-6","journal-title":"Multimedia Tools Appl."},{"issue":"11","key":"2_CR18","doi-asserted-by":"publisher","first-page":"1098","DOI":"10.1016\/j.ijleo.2015.02.043","volume":"126","author":"JL Raheja","year":"2015","unstructured":"Raheja, J.L., et al.: Robust gesture recognition using Kinect: a comparison between DTW and HMM. Optik 126(11), 1098\u20131104 (2015)","journal-title":"Optik"},{"issue":"12","key":"2_CR19","doi-asserted-by":"publisher","first-page":"9859","DOI":"10.1007\/s13369-020-04758-2","volume":"45","author":"X Jiang","year":"2020","unstructured":"Jiang, X., Satapathy, S.C., Yang, L., Wang, S.-H., Zhang, Y.-D.: A survey on artificial intelligence in Chinese sign language recognition. Arab. J. Sci. Eng. 45(12), 9859\u20139894 (2020). https:\/\/doi.org\/10.1007\/s13369-020-04758-2","journal-title":"Arab. J. Sci. Eng."}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","Multimedia Technology and Enhanced Learning"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-82565-2_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,7,21]],"date-time":"2021-07-21T05:05:04Z","timestamp":1626843904000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-82565-2_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030825645","9783030825652"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-82565-2_2","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"type":"print","value":"1867-8211"},{"type":"electronic","value":"1867-822X"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"21 July 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICMTEL","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Multimedia Technology and Enhanced Learning","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 April 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 April 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icmtel2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/icmtel.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EAI confyplus","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"208","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":"97","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":"0","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":"47% - 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":"2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}