{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T14:47:43Z","timestamp":1773154063217,"version":"3.50.1"},"reference-count":44,"publisher":"Springer Science and Business Media LLC","issue":"14","license":[{"start":{"date-parts":[[2019,10,23]],"date-time":"2019-10-23T00:00:00Z","timestamp":1571788800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,10,23]],"date-time":"2019-10-23T00:00:00Z","timestamp":1571788800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61772272"],"award-info":[{"award-number":["61772272"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2020,7]]},"DOI":"10.1007\/s00521-019-04543-9","type":"journal-article","created":{"date-parts":[[2019,10,23]],"date-time":"2019-10-23T16:06:56Z","timestamp":1571846816000},"page":"10127-10142","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Efficient human motion recovery using bidirectional attention network"],"prefix":"10.1007","volume":"32","author":[{"given":"Qiongjie","family":"Cui","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huaijiang","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yupeng","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yue","family":"kong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,10,23]]},"reference":[{"key":"4543_CR1","doi-asserted-by":"crossref","unstructured":"Aristidou A, Cameron J, Lasenby J (2008) Real-time estimation of missing markers in human motion capture. In: The 2nd international conference on bioinformatics and biomedical engineering, 2008. ICBBE 2008. IEEE, pp 1343\u20131346","DOI":"10.1109\/ICBBE.2008.665"},{"key":"4543_CR2","unstructured":"Bahdanau D, Cho K, Bengio Y (2014) Neural machine translation by jointly learning to align and translate. CoRR abs\/1409.0473"},{"key":"4543_CR3","doi-asserted-by":"crossref","unstructured":"B\u00fctepage J, Black MJ, Kragic D, Kjellstr\u00f6m H (2017) Deep representation learning for human motion prediction and classification. In: 2017 IEEE conference on computer vision and pattern recognition (CVPR), pp 1591\u20131599","DOI":"10.1109\/CVPR.2017.173"},{"issue":"2","key":"4543_CR4","doi-asserted-by":"publisher","first-page":"777","DOI":"10.1016\/j.ins.2014.03.013","volume":"277","author":"Y Feng","year":"2014","unstructured":"Feng Y, Xiao J, Zhuang Y, Yang X, Zhang JJ, Song R (2014) Exploiting temporal stability and low-rank structure for motion capture data refinement. Inf Sci 277(2):777\u2013793","journal-title":"Inf Sci"},{"key":"4543_CR5","doi-asserted-by":"crossref","unstructured":"Fragkiadaki K, Levine S, Felsen P, Malik J (2015) Recurrent network models for human dynamics. In: 2015 IEEE international conference on computer vision (ICCV), pp 4346\u20134354","DOI":"10.1109\/ICCV.2015.494"},{"key":"4543_CR6","doi-asserted-by":"publisher","unstructured":"Gehring J, Auli M, Grangier D, Yarats D, Dauphin YN (2017) Convolutional sequence to sequence learning. ICML. https:\/\/doi.org\/10.18653\/v1\/P16-1220 . arxiv:1705.03122","DOI":"10.18653\/v1\/P16-1220"},{"issue":"5\u20136","key":"4543_CR7","doi-asserted-by":"publisher","first-page":"602","DOI":"10.1016\/j.neunet.2005.06.042","volume":"18","author":"A Graves","year":"2005","unstructured":"Graves A, Schmidhuber J (2005) Framewise phoneme classification with bidirectional lstm and other neural network architectures. Neural Netw 18(5\u20136):602\u2013610","journal-title":"Neural Netw"},{"issue":"8","key":"4543_CR8","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter S, Schmidhuber J (1997) Long short-term memory. Neural Comput 9(8):1735\u20131780","journal-title":"Neural Comput"},{"key":"4543_CR9","doi-asserted-by":"publisher","first-page":"165:1","DOI":"10.1145\/3197517.3201302","volume":"37","author":"D Holden","year":"2018","unstructured":"Holden D (2018) Robust solving of optical motion capture data by denoising. ACM Trans Graph 37:165:1\u2013165:12","journal-title":"ACM Trans Graph"},{"key":"4543_CR10","doi-asserted-by":"publisher","first-page":"42:1","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. ACM Trans Graph 36:42:1\u201342:13","journal-title":"ACM Trans Graph"},{"key":"4543_CR11","doi-asserted-by":"publisher","first-page":"138:1","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. ACM Trans Graph 35:138:1\u2013138:11","journal-title":"ACM Trans Graph"},{"key":"4543_CR12","doi-asserted-by":"crossref","unstructured":"Holden D, Saito J, Komura T, Joyce T (2015) Learning motion manifolds with convolutional autoencoders. In: SIGGRAPH Asia technical briefs","DOI":"10.1145\/2820903.2820918"},{"key":"4543_CR13","unstructured":"Hou J, Chau LP, He Y, Chen J, Magnenat-Thalmann N (2014) Human motion capture data recovery via trajectory-based sparse representation. In: IEEE international conference on image processing, pp 709\u2013713"},{"key":"4543_CR14","doi-asserted-by":"publisher","first-page":"258","DOI":"10.1109\/LSP.2017.2687044","volume":"25","author":"W Hu","year":"2018","unstructured":"Hu W, Wang Z, Liu S, Yang X, Yu G, Zhang JJ (2018) Motion capture data completion via truncated nuclear norm regularization. IEEE Signal Process Lett 25:258\u2013262","journal-title":"IEEE Signal Process Lett"},{"key":"4543_CR15","unstructured":"Kingma DP, Ba J (2014) Adam: a method for stochastic optimization. CoRR abs\/1412.6980"},{"key":"4543_CR16","unstructured":"Kingma DP, Welling M (2013) Auto-encoding variational bayes. CoRR abs\/1312.6114"},{"issue":"5","key":"4543_CR17","doi-asserted-by":"publisher","first-page":"2302","DOI":"10.1214\/11-AOS894","volume":"39","author":"V Koltchinskii","year":"2011","unstructured":"Koltchinskii V, Lounici K, Tsybakov AB et al (2011) Nuclear norm penalization and optimal rates for noisy low-rank matrix completion. Ann Stat 39(5):2302\u20132329","journal-title":"Ann Stat"},{"key":"4543_CR18","unstructured":"Kucherenko T, Kjellstr\u00f6m H (2018) A neural network approach to missing marker reconstruction. CoRR abs\/1803.02665"},{"issue":"3","key":"4543_CR19","first-page":"924","volume":"11","author":"RYQ Lai","year":"2011","unstructured":"Lai RYQ, Yuen PC, Lee KKW (2011) Motion capture data completion and denoising by singular value thresholding. Proc Eurogr Assoc 11(3):924\u2013929","journal-title":"Proc Eurogr Assoc"},{"key":"4543_CR20","doi-asserted-by":"crossref","unstructured":"Li C, Zhang Z, Lee WS, Lee GH (2018) Convolutional sequence to sequence model for human dynamics. In: CVPR","DOI":"10.1109\/CVPR.2018.00548"},{"key":"4543_CR21","doi-asserted-by":"crossref","unstructured":"Lu X, Chen H, Yeung SK, Deng Z, Chen W (2018) Unsupervised articulated skeleton extraction from point set sequences captured by a single depth camera. In: AAAI","DOI":"10.1609\/aaai.v32i1.12304"},{"key":"4543_CR22","unstructured":"Mall U, Lal GR, Chaudhuri S, Chaudhuri P (2017) A deep recurrent framework for cleaning motion capture data. arXiv preprint arXiv:1712.03380"},{"issue":"2","key":"4543_CR23","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1016\/j.cviu.2006.08.002","volume":"104","author":"TB Moeslund","year":"2006","unstructured":"Moeslund TB, Hilton A, Kr\u00fcger V (2006) A survey of advances in vision-based human motion capture and analysis. Comput Vis Image Unders 104(2):90\u2013126","journal-title":"Comput Vis Image Unders"},{"key":"4543_CR24","doi-asserted-by":"crossref","unstructured":"Qin Y, Song D, Cheng H, Cheng W, Jiang G, Cottrell GW (2017) A dual-stage attention-based recurrent neural network for time series prediction. In: IJCAI","DOI":"10.24963\/ijcai.2017\/366"},{"key":"4543_CR25","unstructured":"Ruiz AH, Gall J, Moreno-Noguer F (2018) Human motion prediction via spatio-temporal inpainting. CoRR abs\/1812.05478"},{"key":"4543_CR26","doi-asserted-by":"publisher","first-page":"533","DOI":"10.1038\/323533a0","volume":"323","author":"DE Rumelhart","year":"1986","unstructured":"Rumelhart DE, Hinton GE, Williams RJ (1986) Learning representations by back-propagating errors. Nature 323:533\u2013536","journal-title":"Nature"},{"key":"4543_CR27","first-page":"1929","volume":"15","author":"N Srivastava","year":"2014","unstructured":"Srivastava N, Hinton GE, Krizhevsky A, Sutskever I, Salakhutdinov R (2014) Dropout: a simple way to prevent neural networks from overfitting. J Mach Learn Res 15:1929\u20131958","journal-title":"J Mach Learn Res"},{"issue":"12","key":"4543_CR28","doi-asserted-by":"publisher","first-page":"752","DOI":"10.1049\/el.2013.0442","volume":"49","author":"CH Tan","year":"2013","unstructured":"Tan CH, Hou J, Chau LP (2013) Human motion capture data recovery using trajectory-based matrix completion. Electron Lett 49(12):752\u2013754","journal-title":"Electron Lett"},{"key":"4543_CR29","unstructured":"Uller-Ulhaas KD (2007) Robust optical user motion tracking using a kalman filter. In: ACM symposium on virtual reality software & technology"},{"key":"4543_CR30","unstructured":"Vaswani A, Shazeer N, Parmar N, Uszkoreit J, Jones L, Gomez AN, Kaiser L, Polosukhin I (2017) Attention is all you need. In: NIPS"},{"key":"4543_CR31","doi-asserted-by":"crossref","unstructured":"Vincent P, Larochelle H, Bengio Y, Manzagol PA (2008) Extracting and composing robust features with denoising autoencoders. In: ICML","DOI":"10.1145\/1390156.1390294"},{"key":"4543_CR32","doi-asserted-by":"crossref","unstructured":"Wang L, Ding Z, Fu Y (2018) Learning transferable subspace for human motion segmentation. In: AAAI","DOI":"10.1609\/aaai.v32i1.11824"},{"issue":"3","key":"4543_CR33","doi-asserted-by":"publisher","first-page":"585","DOI":"10.1016\/S0031-3203(02)00100-0","volume":"36","author":"L Wang","year":"2003","unstructured":"Wang L, Hu W, Tan T (2003) Recent developments in human motion analysis. Pattern Recognit 36(3):585\u2013601","journal-title":"Pattern Recognit"},{"issue":"6","key":"4543_CR34","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1109\/38.626968","volume":"17","author":"DJ Wiley","year":"1997","unstructured":"Wiley DJ, Hahn JK (1997) Interpolation synthesis of articulated figure motion. IEEE Comput Graph Appl 17(6):39","journal-title":"IEEE Comput Graph Appl"},{"issue":"6","key":"4543_CR35","doi-asserted-by":"publisher","first-page":"1031","DOI":"10.1109\/JPROC.2010.2044470","volume":"98","author":"J Wright","year":"2010","unstructured":"Wright J, Ma Y, Mairal J, Sapiro G, Huang TS, Yan S (2010) Sparse representation for computer vision and pattern recognition. Proc IEEE 98(6):1031\u20131044","journal-title":"Proc IEEE"},{"key":"4543_CR36","doi-asserted-by":"publisher","first-page":"3011","DOI":"10.1109\/TIP.2018.2812100","volume":"27","author":"G Xia","year":"2018","unstructured":"Xia G, Sun H, Chen B, Liu Q, Feng L, Zhang G, Hang R (2018) Nonlinear low-rank matrix completion for human motion recovery. IEEE Trans Image Process 27:3011\u20133024","journal-title":"IEEE Trans Image Process"},{"issue":"1","key":"4543_CR37","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1109\/TIP.2017.2738562","volume":"27","author":"G Xia","year":"2018","unstructured":"Xia G, Sun H, Feng L, Zhang G, Liu Y (2018) Human motion segmentation via robust kernel sparse subspace clustering. IEEE Trans Image Process 27(1):135\u2013150","journal-title":"IEEE Trans Image Process"},{"key":"4543_CR38","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1016\/j.ins.2015.12.041","volume":"339","author":"G Xia","year":"2016","unstructured":"Xia G, Sun H, Zhang G, Feng L (2016) Human motion recovery jointly utilizing statistical and kinematic information. Inf Sci 339:189\u2013205","journal-title":"Inf Sci"},{"issue":"2\u20133","key":"4543_CR39","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1002\/cav.413","volume":"22","author":"J Xiao","year":"2011","unstructured":"Xiao J, Feng Y, Hu W (2011) Predicting missing markers in human motion capture using l1-sparse representation. Comput Anim Virtual Worlds 22(2\u20133):221\u2013228","journal-title":"Comput Anim Virtual Worlds"},{"key":"4543_CR40","doi-asserted-by":"crossref","unstructured":"Yang Z, Yang D, Dyer C, He X, Smola AJ, Hovy EH (2016) Hierarchical attention networks for document classification. In: HLT-NAACL","DOI":"10.18653\/v1\/N16-1174"},{"key":"4543_CR41","doi-asserted-by":"crossref","unstructured":"You Q, Jin H, Wang Z, Fang C, Luo J (2016) Image captioning with semantic attention. In: 2016 IEEE conference on computer vision and pattern recognition (CVPR), pp 4651\u20134659","DOI":"10.1109\/CVPR.2016.503"},{"issue":"2","key":"4543_CR42","doi-asserted-by":"publisher","first-page":"616","DOI":"10.1109\/TII.2016.2601521","volume":"13","author":"H Zhang","year":"2016","unstructured":"Zhang H, Li J, Ji Y, Yue H (2016) Understanding subtitles by character-level sequence-to-sequence learning. IEEE Trans Ind Inf 13(2):616\u2013624","journal-title":"IEEE Trans Ind Inf"},{"key":"4543_CR43","doi-asserted-by":"crossref","unstructured":"Zhou P, Shi W, Tian J, Qi Z, Li B, Hao H, Xu B (2016) Attention-based bidirectional long short-term memory networks for relation classification. In: ACL","DOI":"10.18653\/v1\/P16-2034"},{"key":"4543_CR44","doi-asserted-by":"crossref","unstructured":"Zhou X, Liu S, Pavlakos G, Kumar V, Daniilidis K (2018) Human motion capture using a drone. In: 2018 IEEE international conference on robotics and automation (ICRA), pp 2027\u20132033","DOI":"10.1109\/ICRA.2018.8462830"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-019-04543-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-019-04543-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-019-04543-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,2]],"date-time":"2022-10-02T11:36:48Z","timestamp":1664710608000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-019-04543-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,10,23]]},"references-count":44,"journal-issue":{"issue":"14","published-print":{"date-parts":[[2020,7]]}},"alternative-id":["4543"],"URL":"https:\/\/doi.org\/10.1007\/s00521-019-04543-9","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,10,23]]},"assertion":[{"value":"29 March 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 October 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 October 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}