{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T22:28:14Z","timestamp":1769552894161,"version":"3.49.0"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030316532","type":"print"},{"value":"9783030316549","type":"electronic"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[[2019]]},"DOI":"10.1007\/978-3-030-31654-9_9","type":"book-chapter","created":{"date-parts":[[2019,10,31]],"date-time":"2019-10-31T00:05:31Z","timestamp":1572480331000},"page":"98-109","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Real-Time Rock-Paper-Scissor Hand Gesture Recognition System Based on FlowNet and Event Camera"],"prefix":"10.1007","author":[{"given":"Xuemei","family":"Xie","sequence":"first","affiliation":[]},{"given":"Shu","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Jinjian","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Xun","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Guangming","family":"Shi","sequence":"additional","affiliation":[]},{"given":"Jianyu","family":"Chen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,10,31]]},"reference":[{"key":"9_CR1","unstructured":"https:\/\/github.com\/inilabs\/libcaer"},{"key":"9_CR2","doi-asserted-by":"crossref","unstructured":"Ahn, E.Y., Lee, J.H., Mullen, T., Yen, J.: Dynamic vision sensor camera based bare hand gesture recognition. In: 2011 IEEE Symposium On Computational Intelligence For Multimedia, Signal And Vision Processing, pp. 52\u201359. IEEE (2011)","DOI":"10.1109\/CIMSIVP.2011.5949251"},{"key":"9_CR3","doi-asserted-by":"crossref","unstructured":"Amir, A., et al.: A low power, fully event-based gesture recognition system. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 7243\u20137252 (2017)","DOI":"10.1109\/CVPR.2017.781"},{"issue":"10","key":"9_CR4","doi-asserted-by":"crossref","first-page":"2333","DOI":"10.1109\/JSSC.2014.2342715","volume":"49","author":"C Brandli","year":"2014","unstructured":"Brandli, C., Berner, R., Yang, M., Liu, S.C., Delbruck, T.: A 240 $$\\times $$ 180 130 db 3 $$\\mu $$s latency global shutter spatiotemporal vision sensor. IEEE J. Solid-State Circuits 49(10), 2333\u20132341 (2014)","journal-title":"IEEE J. Solid-State Circuits"},{"issue":"1\u20133","key":"9_CR5","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1016\/0004-3702(81)90024-2","volume":"17","author":"BK Horn","year":"1981","unstructured":"Horn, B.K., Schunck, B.G.: Determining optical flow. Artif. Intell. 17(1\u20133), 185\u2013203 (1981)","journal-title":"Artif. Intell."},{"key":"9_CR6","doi-asserted-by":"crossref","unstructured":"Huang, J., Guo, M., Chen, S.: A dynamic vision sensor with direct logarithmic output and full-frame picture-on-demand. In: 2017 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1\u20134. IEEE (2017)","DOI":"10.1109\/ISCAS.2017.8050546"},{"key":"9_CR7","doi-asserted-by":"crossref","unstructured":"Ilg, E., Mayer, N., Saikia, T., Keuper, M., Dosovitskiy, A., Brox, T.: Flownet 2.0: evolution of optical flow estimation with deep networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2462\u20132470 (2017)","DOI":"10.1109\/CVPR.2017.179"},{"key":"9_CR8","doi-asserted-by":"crossref","unstructured":"Jia, Y., et al.: Caffe: convolutional architecture for fast feature embedding. In: Proceedings of the 22nd ACM International Conference on Multimedia, pp. 675\u2013678. ACM (2014)","DOI":"10.1145\/2647868.2654889"},{"key":"9_CR9","unstructured":"Kendon, A.: Current issues in the study of gesture. In: The Biological Foundations of Gestures: Motor and Semiotic Aspects, vol. 1, pp. 23\u201347 (1986)"},{"key":"9_CR10","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. In: Advances in Neural Information Processing Systems, pp. 1097\u20131105 (2012)"},{"key":"9_CR11","doi-asserted-by":"crossref","unstructured":"Lee, J., et al.: Live demonstration: gesture-based remote control using stereo pair of dynamic vision sensors. In: 2012 IEEE International Symposium on Circuits and Systems, pp. 741\u2013745. IEEE (2012)","DOI":"10.1109\/ISCAS.2012.6272144"},{"issue":"2","key":"9_CR12","doi-asserted-by":"crossref","first-page":"566","DOI":"10.1109\/JSSC.2007.914337","volume":"43","author":"P Lichtsteiner","year":"2008","unstructured":"Lichtsteiner, P., Posch, C., Delbruck, T.: A 128 $${\\times }$$ 128 120 db 15 $${\\mu }$$s latency asynchronous temporal contrast vision sensor. IEEE J. Solid-State Circuits 43(2), 566\u2013576 (2008)","journal-title":"IEEE J. Solid-State Circuits"},{"key":"9_CR13","unstructured":"Lucas, B.D., Kanade, T., et al.: An iterative image registration technique with an application to stereo vision (1981)"},{"key":"9_CR14","doi-asserted-by":"crossref","unstructured":"Lungu, I.A., Corradi, F., Delbr\u00fcck, T.: Live demonstration: convolutional neural network driven by dynamic vision sensor playing roshambo. In: 2017 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1\u20131. IEEE (2017)","DOI":"10.1109\/ISCAS.2017.8050403"},{"issue":"1","key":"9_CR15","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1016\/S0734-189X(83)80030-9","volume":"21","author":"HH Nagel","year":"1983","unstructured":"Nagel, H.H.: Displacement vectors derived from second-order intensity variations in image sequences. Comput. Vision Graph. Image Proc. 21(1), 85\u2013117 (1983)","journal-title":"Comput. Vision Graph. Image Proc."},{"issue":"3","key":"9_CR16","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1016\/0004-3702(87)90041-5","volume":"33","author":"HH Nagel","year":"1987","unstructured":"Nagel, H.H.: On the estimation of optical flow: relations between different approaches and some new results. Artif. Intell. 33(3), 299\u2013324 (1987)","journal-title":"Artif. Intell."},{"key":"9_CR17","doi-asserted-by":"crossref","unstructured":"Park, P.K., et al.: Performance improvement of deep learning based gesture recognition using spatiotemporal demosaicing technique. In: 2016 IEEE International Conference on Image Processing (ICIP), pp. 1624\u20131628. IEEE (2016)","DOI":"10.1109\/ICIP.2016.7532633"},{"issue":"1","key":"9_CR18","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1109\/JSSC.2010.2085952","volume":"46","author":"C Posch","year":"2011","unstructured":"Posch, C., Matolin, D., Wohlgenannt, R.: A QVGA 143 dB dynamic range frame-free PWM image sensor with lossless pixel-level video compression and time-domain CDS. IEEE J. Solid-State Circuits 46(1), 259\u2013275 (2011)","journal-title":"IEEE J. Solid-State Circuits"},{"issue":"10","key":"9_CR19","doi-asserted-by":"publisher","first-page":"2176","DOI":"10.3390\/s17102176","volume":"17","author":"M Rivera-Acosta","year":"2017","unstructured":"Rivera-Acosta, M., Ortega-Cisneros, S., Rivera, J., Sandoval-Ibarra, F.: American sign language alphabet recognition using a neuromorphic sensor and an artificial neural network. Sensors 17(10), 2176 (2017)","journal-title":"Sensors"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition and Computer Vision"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-31654-9_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,31]],"date-time":"2024-10-31T00:05:18Z","timestamp":1730333118000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-31654-9_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030316532","9783030316549"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-31654-9_9","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"31 October 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PRCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chinese Conference on Pattern Recognition and Computer Vision  (PRCV)","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Xi'an","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":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 November 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 November 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ccprcv2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.prcv2019.com\/en\/index.html","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":"412","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":"165","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":"40% - 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":"4","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":"4","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)"}}]}}