{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T07:28:43Z","timestamp":1740122923091,"version":"3.37.3"},"reference-count":26,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2020,3,13]],"date-time":"2020-03-13T00:00:00Z","timestamp":1584057600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,3,13]],"date-time":"2020-03-13T00:00:00Z","timestamp":1584057600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"name":"National Science and Technology Innovation 2030 Major Project of the Ministry of Science and Technology of China","award":["2018AAA0100703"],"award-info":[{"award-number":["2018AAA0100703"]}]},{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["No. 61672451","No. 61303142"],"award-info":[{"award-number":["No. 61672451","No. 61303142"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Provincial Key Research and Development Plan of Zhejiang Province","award":["No. 2019C03137"],"award-info":[{"award-number":["No. 2019C03137"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2021,5]]},"DOI":"10.1007\/s11042-020-08792-y","type":"journal-article","created":{"date-parts":[[2020,3,13]],"date-time":"2020-03-13T03:02:40Z","timestamp":1584068560000},"page":"16229-16246","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Gated neural network framework for interactive character control"],"prefix":"10.1007","volume":"80","author":[{"given":"Xin","family":"Wang","sequence":"first","affiliation":[]},{"given":"Xiaotao","family":"Jiang","sequence":"additional","affiliation":[]},{"given":"Gloria Rumbidzai","family":"Regedzai","sequence":"additional","affiliation":[]},{"given":"Haohao","family":"Meng","sequence":"additional","affiliation":[]},{"given":"Lingyun","family":"Sun","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,3,13]]},"reference":[{"key":"8792_CR1","unstructured":"Bengio E, Bacon P L, Pineau J et al (2015) Conditional computation in neural networks for faster models[J]. arXiv preprint arXiv:1511.06297"},{"issue":"4","key":"8792_CR2","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1145\/3072959.3092818","volume":"36","author":"M Chu","year":"2017","unstructured":"Chu M, Thuerey N (2017) Data-driven synthesis of smoke flows with CNN-based feature descriptors[J]. ACM Transactions on Graphics (TOG) 36(4):69","journal-title":"ACM Transactions on Graphics (TOG)"},{"key":"8792_CR3","doi-asserted-by":"crossref","unstructured":"Coros S, Beaudoin P, Yin KK et al (2008) Synthesis of constrained walking skills[C]. Acm Siggraph Asia. Singapore: ACM 1\u20139","DOI":"10.1145\/1409060.1409066"},{"key":"8792_CR4","doi-asserted-by":"crossref","unstructured":"Diba A, Sharma V, Van Gool L (2017) Deep temporal linear encoding networks[C]. Proceedings of the IEEE conference on computer vision and pattern recognition. Honolulu 2329\u20132338","DOI":"10.1109\/CVPR.2017.168"},{"key":"8792_CR5","unstructured":"Du Y, Wang W, Wang L (2015) Hierarchical recurrent neural network for skeleton based action recognition[C]. Proceedings of the IEEE conference on computer vision and pattern recognition. Boston 1110\u20131118"},{"key":"8792_CR6","doi-asserted-by":"crossref","unstructured":"Fragkiadaki K, Levine S, Felsen P et al (2015) Recurrent network models for human dynamics[C]. Computer vision (ICCV), 2015 IEEE international conference on. Santiago: IEEE 4346\u20134354","DOI":"10.1109\/ICCV.2015.494"},{"issue":"4","key":"8792_CR7","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1145\/3072959.3073663","volume":"36","author":"D Holden","year":"2017","unstructured":"Holden D, Komura T, Saito J (2017) Phase-functioned neural networks for character control[J]. ACM Transactions on Graphics (TOG) 36(4):42","journal-title":"ACM Transactions on Graphics (TOG)"},{"issue":"4","key":"8792_CR8","doi-asserted-by":"publisher","first-page":"138","DOI":"10.1145\/2897824.2925975","volume":"35","author":"D Holden","year":"2016","unstructured":"Holden D, Saito J, Komura T (2016) A deep learning framework for character motion synthesis and editing[J]. ACM Transactions on Graphics (TOG) 35(4):138","journal-title":"ACM Transactions on Graphics (TOG)"},{"key":"8792_CR9","doi-asserted-by":"crossref","unstructured":"Holden D, Saito J, Komura T et al (2015) Learning motion manifolds with convolutional autoencoders[C]. SIGGRAPH Asia 2015 Technical briefs. Kobe: ACM 18","DOI":"10.1145\/2820903.2820918"},{"issue":"2","key":"8792_CR10","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1002\/cav.1469","volume":"24","author":"TC Huang","year":"2013","unstructured":"Huang TC, Huang YJ, Lin WC (2013) Real-time horse gait synthesis[J]. Computer Animation and Virtual Worlds 24(2):87\u201395","journal-title":"Computer Animation and Virtual Worlds"},{"key":"8792_CR11","doi-asserted-by":"crossref","unstructured":"Lau M, Kuffner JJ (2005) Behavior planning for character animation[C]. Proceedings of the 2005 ACM SIGGRAPH\/Eurographics symposium on computer animation. Los Angeles: ACM 271\u2013280","DOI":"10.1145\/1073368.1073408"},{"key":"8792_CR12","doi-asserted-by":"crossref","unstructured":"Lee Y, Wampler K, Bernstein G et al (2010) Motion fields for interactive character locomotion[C]. ACM transactions on graphics (TOG). New York: ACM 29(6): 138.","DOI":"10.1145\/1882261.1866160"},{"issue":"3","key":"8792_CR13","first-page":"29","volume":"36","author":"L Liu","year":"2017","unstructured":"Liu L, Hodgins J (2017) Learning to schedule control fragments for physics-based characters using deep q-learning[J]. ACM Transactions on Graphics (TOG) 36(3):29","journal-title":"ACM Transactions on Graphics (TOG)"},{"key":"8792_CR14","doi-asserted-by":"crossref","unstructured":"Liu L, Yin KK, van de Panne M et al (2010) Sampling-based contact-rich motion control[C]. ACM transactions on graphics (TOG). Seoul: ACM 29(4):128","DOI":"10.1145\/3261587"},{"issue":"6","key":"8792_CR15","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1145\/2366145.2366172","volume":"31","author":"J Min","year":"2012","unstructured":"Min J, Chai J (2012) Motion graphs++: a compact generative model for semantic motion analysis and synthesis[J]. ACM Transactions on Graphics (TOG) 31(6):153","journal-title":"ACM Transactions on Graphics (TOG)"},{"key":"8792_CR16","unstructured":"Mittelman R, Kuipers B, Savarese S et al (2014) Structured recurrent temporal restricted boltzmann machines[C]. International conference on machine learning. Beijing: JMLR II-1647"},{"key":"8792_CR17","unstructured":"Mordatch I, Lowrey K, Andrew G et al (2015) Interactive control of diverse complex characters with neural networks[C]. Adv Neural Inf Process Syst Montreal 3132\u20133140."},{"issue":"4","key":"8792_CR18","first-page":"81","volume":"35","author":"XB Peng","year":"2016","unstructured":"Peng XB, Berseth G, Van de Panne M (2016) Terrain-adaptive locomotion skills using deep reinforcement learning[J]. ACM Transactions on Graphics (TOG) 35(4):81","journal-title":"ACM Transactions on Graphics (TOG)"},{"issue":"4","key":"8792_CR19","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3072959.3073602","volume":"36","author":"XB Peng","year":"2017","unstructured":"Peng XB, Berseth G, Yin K et al (2017) DeepLoco: dynamic locomotion skills using hierarchical deep reinforcement learning[J]. ACM Trans Graph 36(4):1\u201313","journal-title":"ACM Trans Graph"},{"issue":"3","key":"8792_CR20","doi-asserted-by":"publisher","first-page":"106","DOI":"10.1145\/1276377.1276510","volume":"26","author":"A Safonova","year":"2007","unstructured":"Safonova A, Hodgins JK (2007) Construction and optimal search of interpolated motion graphs[J]. ACM Trans Graph 26(3):106","journal-title":"ACM Trans Graph"},{"key":"8792_CR21","unstructured":"Salimans T, Goodfellow I, Zaremba W et al (2016) Improved techniques for training gans[C]. Advances in neural information processing systems. Barcelona 2234\u20132242"},{"issue":"19","key":"8792_CR22","doi-asserted-by":"publisher","first-page":"11723","DOI":"10.1007\/s11042-015-2705-3","volume":"75","author":"X Wang","year":"2016","unstructured":"Wang X, Chen L, Jing J et al (2016) Human motion capture data retrieval based on semantic thumbnail[J]. Multimed Tools Appl 75(19):11723\u201311740","journal-title":"Multimed Tools Appl"},{"key":"8792_CR23","first-page":"969","volume":"6","author":"Z Wang","year":"2010","unstructured":"Wang Z, Mao T, Jiang H, Xia S (2010) Guarder: virtual drilling system for crowd evacuation under emergency scheme\u2014\u2014guarder[J]. Journal of Computer Research and Development 6:969\u2013978","journal-title":"Journal of Computer Research and Development"},{"key":"8792_CR24","first-page":"660","volume-title":"A motion segmentation based algorithm of human motion alignment[C]\/\/ Asian simulation conference","author":"M Zha","year":"2016","unstructured":"Zha M, Pan Z, Zhang M (2016) A motion segmentation based algorithm of human motion alignment[C]\/\/ Asian simulation conference. Springer, Singapore, pp 660\u2013670"},{"issue":"4","key":"8792_CR25","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1145\/3197517.3201366","volume":"37","author":"H Zhang","year":"2018","unstructured":"Zhang H, Starke S, Komura T et al (2018) Mode-adaptive neural networks for quadruped motion control[J]. ACM Transactions on Graphics (TOG) 37(4):145","journal-title":"ACM Transactions on Graphics (TOG)"},{"key":"8792_CR26","first-page":"610","volume":"4","author":"D Zhu","year":"2009","unstructured":"Zhu D, Wang Z (2009) Human animation synthesis based on primitive movement\u2014guarder[J]. Journal of Computer Research and Development 4:610\u2013617","journal-title":"Journal of Computer Research and Development"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-020-08792-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-020-08792-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-020-08792-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,19]],"date-time":"2021-05-19T15:47:25Z","timestamp":1621439245000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-020-08792-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,3,13]]},"references-count":26,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2021,5]]}},"alternative-id":["8792"],"URL":"https:\/\/doi.org\/10.1007\/s11042-020-08792-y","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"type":"print","value":"1380-7501"},{"type":"electronic","value":"1573-7721"}],"subject":[],"published":{"date-parts":[[2020,3,13]]},"assertion":[{"value":"30 April 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 December 2019","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 February 2020","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 March 2020","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}