{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T14:19:41Z","timestamp":1768313981680,"version":"3.49.0"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031202322","type":"print"},{"value":"9783031202339","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":[[2022]]},"DOI":"10.1007\/978-3-031-20233-9_24","type":"book-chapter","created":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T00:02:48Z","timestamp":1667433768000},"page":"237-246","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Dynamic Hand Gesture Authentication Based on\u00a0Improved Two-Stream CNN"],"prefix":"10.1007","author":[{"given":"Wenwei","family":"Song","sequence":"first","affiliation":[]},{"given":"Linpu","family":"Fang","sequence":"additional","affiliation":[]},{"given":"Yihong","family":"Lin","sequence":"additional","affiliation":[]},{"given":"Ming","family":"Zeng","sequence":"additional","affiliation":[]},{"given":"Wenxiong","family":"Kang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,11,3]]},"reference":[{"key":"24_CR1","doi-asserted-by":"crossref","unstructured":"Aumi, M.T.I., Kratz, S.G.: Airauth: evaluating in-air hand gestures for authentication. In: MobileHCI 2014 (2014)","DOI":"10.1145\/2559206.2581157"},{"key":"24_CR2","doi-asserted-by":"publisher","first-page":"1359","DOI":"10.1002\/sec.1422","volume":"9","author":"Z Sun","year":"2016","unstructured":"Sun, Z., Wang, Y., Qu, G., Zhou, Z.: A 3-d hand gesture signature based biometric authentication system for smartphones. Secur. Commun. Netw. 9, 1359\u20131373 (2016)","journal-title":"Secur. Commun. Netw."},{"key":"24_CR3","doi-asserted-by":"crossref","unstructured":"Karita, S., Nakamura, K., Kono, K., Ito, Y., Babaguchi, N.: Owner authentication for mobile devices using motion gestures based on multi-owner template update. In: 2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), pp. 1\u20136 (2015)","DOI":"10.1109\/ICMEW.2015.7169873"},{"key":"24_CR4","doi-asserted-by":"publisher","first-page":"568","DOI":"10.1109\/TIFS.2014.2302582","volume":"9","author":"N Sae-Bae","year":"2014","unstructured":"Sae-Bae, N., Memon, N., Isbister, K., Ahmed, K.: Multitouch gesture-based authentication. IEEE Trans. Inf. Forensics Secur. 9, 568\u2013582 (2014)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"24_CR5","doi-asserted-by":"publisher","first-page":"498","DOI":"10.1109\/TIFS.2015.2503258","volume":"11","author":"C Shen","year":"2016","unstructured":"Shen, C., Zhang, Y., Guan, X., Maxion, R.: Performance analysis of touch-interaction behavior for active smartphone authentication. IEEE Trans. Inf. Forensics Secur. 11, 498\u2013513 (2016)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"24_CR6","unstructured":"Tian, J., Qu, C., Xu, W., Wang, S.: Kinwrite: handwriting-based authentication using kinect. In: NDSS (2013)"},{"key":"24_CR7","doi-asserted-by":"crossref","unstructured":"Wu, J., Christianson, J., Konrad, J., Ishwar, P.: Leveraging shape and depth in user authentication from in-air hand gestures. In: 2015 IEEE International Conference on Image Processing (ICIP), pp. 3195\u20133199 (2015)","DOI":"10.1109\/ICIP.2015.7351393"},{"key":"24_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1007\/978-3-319-23222-5_7","volume-title":"New Trends in Image Analysis and Processing \u2013 ICIAP 2015 Workshops","author":"N Nugrahaningsih","year":"2015","unstructured":"Nugrahaningsih, N., Porta, M., Scarpello, G.: A hand gesture approach to biometrics. In: Murino, V., Puppo, E., Sona, D., Cristani, M., Sansone, C. (eds.) ICIAP 2015. LNCS, vol. 9281, pp. 51\u201358. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-23222-5_7"},{"key":"24_CR9","doi-asserted-by":"publisher","first-page":"3265","DOI":"10.3390\/s18103265","volume":"18","author":"X Wang","year":"2018","unstructured":"Wang, X., Tanaka, J.: Gesid: 3D gesture authentication based on depth camera and one-class classification. Sensors (Basel, Switzerland) 18, 3265 (2018)","journal-title":"Sensors (Basel, Switzerland)"},{"key":"24_CR10","doi-asserted-by":"crossref","unstructured":"Gu, J., Wang, Z., Ouyang, W., Zhang, W., Li, J., Zhuo, L.: 3D hand pose estimation with disentangled cross-modal latent space. In: 2020 IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 380\u2013389 (2020)","DOI":"10.1109\/WACV45572.2020.9093316"},{"key":"24_CR11","doi-asserted-by":"crossref","unstructured":"Wu, J., Ishwar, P., Konrad, J.: Two-stream cnns for gesture-based verification and identification: Learning user style. In: 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 110\u2013118 (2016)","DOI":"10.1109\/CVPRW.2016.21"},{"key":"24_CR12","unstructured":"Simonyan, K., Zisserman, A.: Two-stream convolutional networks for action recognition in videos. In: NIPS (2014)"},{"key":"24_CR13","doi-asserted-by":"publisher","first-page":"1550","DOI":"10.1109\/TIFS.2020.3036218","volume":"16","author":"C Liu","year":"2021","unstructured":"Liu, C., Yang, Y., Liu, X., Fang, L., Kang, W.: Dynamic-hand-gesture authentication dataset and benchmark. IEEE Trans. Inf. Forensics Secur. 16, 1550\u20131562 (2021)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"24_CR14","doi-asserted-by":"crossref","unstructured":"Carreira, J., Zisserman, A.: Quo vadis, action recognition? a new model and the kinetics dataset. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 4724\u20134733 (2017)","DOI":"10.1109\/CVPR.2017.502"},{"key":"24_CR15","doi-asserted-by":"publisher","first-page":"926","DOI":"10.1109\/LSP.2018.2822810","volume":"25","author":"F Wang","year":"2018","unstructured":"Wang, F., Cheng, J., Liu, W., Liu, H.: Additive margin softmax for face verification. IEEE Signal Process. Lett. 25, 926\u2013930 (2018)","journal-title":"IEEE Signal Process. Lett."},{"key":"24_CR16","doi-asserted-by":"crossref","unstructured":"Zhang, C., Zou, Y., Chen, G., Gan, L.: Pan: persistent appearance network with an efficient motion cue for fast action recognition. In: Proceedings of the 27th ACM International Conference on Multimedia, pp. 500\u2013509 (2019)","DOI":"10.1145\/3343031.3350876"},{"key":"24_CR17","doi-asserted-by":"publisher","first-page":"2740","DOI":"10.1109\/TPAMI.2018.2868668","volume":"41","author":"L Wang","year":"2019","unstructured":"Wang, L., Xiong, Y., Zhe Wang, Yu., Qiao, D.L., Tang, X., Van Gool, L.: Temporal segment networks for action recognition in videos. IEEE Trans. Pattern Anal. Mach. Intell. 41, 2740\u20132755 (2019)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"24_CR18","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"499","DOI":"10.1007\/978-3-319-46478-7_31","volume-title":"Computer Vision \u2013 ECCV 2016","author":"Y Wen","year":"2016","unstructured":"Wen, Y., Zhang, K., Li, Z., Qiao, Yu.: A discriminative feature learning approach for deep face recognition. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9911, pp. 499\u2013515. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46478-7_31"}],"container-title":["Lecture Notes in Computer Science","Biometric Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-20233-9_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T00:28:53Z","timestamp":1667435333000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-20233-9_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031202322","9783031202339"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-20233-9_24","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"3 November 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CCBR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chinese Conference on Biometric Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Beijing","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 October 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 October 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ccbr2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ccbr99.cn\/","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":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"115","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":"70","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":"61% - 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":"3","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}