{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T21:40:01Z","timestamp":1751406001748,"version":"3.41.0"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319757858"},{"type":"electronic","value":"9783319757865"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"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":[[2018]]},"DOI":"10.1007\/978-3-319-75786-5_18","type":"book-chapter","created":{"date-parts":[[2018,2,14]],"date-time":"2018-02-14T15:34:17Z","timestamp":1518622457000},"page":"212-221","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Continuous Motion Recognition in Depth Camera Based on Recurrent Neural Networks and Grid-based Average Depth"],"prefix":"10.1007","author":[{"given":"Tao","family":"Rong","sequence":"first","affiliation":[]},{"given":"Rui","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Ruoyu","family":"Yang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,2,15]]},"reference":[{"key":"18_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"753","DOI":"10.1007\/978-3-319-09333-8_82","volume-title":"Intelligent Computing Theory","author":"R Yang","year":"2014","unstructured":"Yang, R., Yang, R.: Action segmentation and recognition based on depth HOG and probability distribution difference. In: Huang, D.-S., Bevilacqua, V., Premaratne, P. (eds.) ICIC 2014. LNCS, vol. 8588, pp. 753\u2013763. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-09333-8_82"},{"key":"18_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1007\/978-3-319-16814-2_4","volume-title":"Computer Vision \u2013 ACCV 2014","author":"G Yu","year":"2015","unstructured":"Yu, G., Liu, Z., Yuan, J.: Discriminative orderlet mining for real-time recognition of human-object interaction. In: Cremers, D., Reid, I., Saito, H., Yang, M.-H. (eds.) ACCV 2014. LNCS, vol. 9007, pp. 50\u201365. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-16814-2_4"},{"key":"18_CR3","doi-asserted-by":"publisher","first-page":"5197","DOI":"10.3390\/s150305197","volume":"15","author":"H Eum","year":"2015","unstructured":"Eum, H., Yoon, C., Lee, H., Park, M.: Continuous human action recognition using depth-MHI-HOG and a spotter model. Sensors 15, 5197\u20135227 (2015)","journal-title":"Sensors"},{"key":"18_CR4","doi-asserted-by":"crossref","unstructured":"Zhang, J., Li, W., Ogunbona, P.O., Wang, P., Tang, C.: RGB-D-based action recognition datasets: a survey (2016)","DOI":"10.1016\/j.patcog.2016.05.019"},{"key":"18_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1007\/978-3-319-16814-2_3","volume-title":"Computer Vision \u2013 ACCV 2014","author":"R Yang","year":"2015","unstructured":"Yang, R., Yang, R.: DMM-pyramid based deep architectures for action recognition with depth cameras. In: Cremers, D., Reid, I., Saito, H., Yang, M.-H. (eds.) ACCV 2014. LNCS, vol. 9007, pp. 37\u201349. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-16814-2_3"},{"key":"18_CR6","doi-asserted-by":"crossref","unstructured":"Mikolov, T., Karafi\u00e1t, M., Burget, L., Cernocky, J., Khudanpur, S.: Recurrent neural network based language model. In: Conference of the International Speech Communication Association, INTERSPEECH 2010, Makuhari, Chiba, Japan, pp. 1045\u20131048, September 2010","DOI":"10.21437\/Interspeech.2010-343"},{"key":"18_CR7","doi-asserted-by":"publisher","first-page":"865","DOI":"10.1145\/358234.381162","volume":"27","author":"J Bentley","year":"1984","unstructured":"Bentley, J.: Programming pearls: algorithm design techniques. Commun. ACM 27, 865\u2013873 (1984)","journal-title":"Commun. ACM"},{"key":"18_CR8","doi-asserted-by":"crossref","unstructured":"Li, W., Zhang, Z., Liu, Z.: Action recognition based on a bag of 3D points. In: 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 9\u201314 (2010)","DOI":"10.1109\/CVPRW.2010.5543273"},{"key":"18_CR9","doi-asserted-by":"crossref","unstructured":"Yang, X., Zhang, C., Tian, Y.L.: Recognizing actions using depth motion maps-based histograms of oriented gradients. In: ACM International Conference on Multimedia, pp. 1057\u20131060 (2012)","DOI":"10.1145\/2393347.2396382"},{"key":"18_CR10","first-page":"14","volume":"38","author":"X Yang","year":"2012","unstructured":"Yang, X., Tian, Y.L.: EigenJoints-based action recognition using Naive-Bayes-nearest-neighbor. Percept. Mot. Skills 38, 14\u201319 (2012)","journal-title":"Percept. Mot. Skills"},{"key":"18_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"872","DOI":"10.1007\/978-3-642-33709-3_62","volume-title":"Computer Vision \u2013 ECCV 2012","author":"J Wang","year":"2012","unstructured":"Wang, J., Liu, Z., Chorowski, J., Chen, Z., Wu, Y.: Robust 3D action recognition with random occupancy patterns. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012. LNCS, pp. 872\u2013885. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-33709-3_62"},{"key":"18_CR12","doi-asserted-by":"crossref","unstructured":"Wang, J., Liu, Z., Wu, Y., Yuan, J.: Mining actionlet ensemble for action recognition with depth cameras. In: Computer Vision and Pattern Recognition, pp. 1290\u20131297 (2012)","DOI":"10.1109\/CVPR.2012.6247813"},{"key":"18_CR13","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1207\/s15516709cog1402_1","volume":"14","author":"JL Elman","year":"1990","unstructured":"Elman, J.L.: Finding structure in time. Cogn. Sci. 14, 179\u2013211 (1990)","journal-title":"Cogn. Sci."},{"key":"18_CR14","doi-asserted-by":"crossref","unstructured":"Rumelhart, D.E., Hinton, G.E., Williams, R.J.: Learning internal representations by back-propagating errors, pp. 533\u2013536 (2014)","DOI":"10.1038\/323533a0"},{"key":"18_CR15","unstructured":"Boden, M.: A guide to recurrent neural networks and backpropagation. Dallas Project Sics Technical Report T Sics (2001)"},{"key":"18_CR16","doi-asserted-by":"crossref","unstructured":"Mikolov, T., Kombrink, S., Burget, L., Cernocky, J.H.: Extensions of recurrent neural network language model. In: IEEE International Conference on Acoustics, pp. 5528\u20135531 (2011)","DOI":"10.1109\/ICASSP.2011.5947611"},{"key":"18_CR17","doi-asserted-by":"crossref","unstructured":"Xia, L., Aggarwal, J.K.: Spatio-temporal depth cuboid similarity feature for activity recognition using depth camera, vol. 9, pp. 2834\u20132841 (2013)","DOI":"10.1109\/CVPR.2013.365"}],"container-title":["Lecture Notes in Computer Science","Image and Video Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-75786-5_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T20:58:24Z","timestamp":1751403504000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-75786-5_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319757858","9783319757865"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-75786-5_18","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"15 February 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PSIVT","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pacific-Rim Symposium on Image and Video Technology","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Wuhan","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":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 November 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 November 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"psivt2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.psivt2017.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}