乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,17]],"date-time":"2024-07-17T18:37:42Z","timestamp":1721241462107},"reference-count":22,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2019,2,28]],"date-time":"2019-02-28T00:00:00Z","timestamp":1551312000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,2,28]],"date-time":"2019-02-28T00:00:00Z","timestamp":1551312000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Ambient Intell Human Comput"],"published-print":{"date-parts":[[2020,6]]},"DOI":"10.1007\/s12652-019-01259-5","type":"journal-article","created":{"date-parts":[[2019,2,28]],"date-time":"2019-02-28T16:51:51Z","timestamp":1551372711000},"page":"2369-2380","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["CNN-SkelPose: a CNN-based skeleton estimation algorithm for clinical applications"],"prefix":"10.1007","volume":"11","author":[{"given":"Luis A.","family":"Zavala-Mondragon","sequence":"first","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-7935-122X","authenticated-orcid":false,"given":"Bishal","family":"Lamichhane","sequence":"additional","affiliation":[]},{"given":"Lu","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Gerard de","family":"Haan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,2,28]]},"reference":[{"key":"1259_CR1","doi-asserted-by":"publisher","first-page":"491","DOI":"10.1007\/978-3-319-46720-7_57","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2016","author":"Felix Achilles","year":"2016","unstructured":"Achilles F, Ichim AE, Coskun H, Tombari F, Noachtar S, Navab N (2016) Patient mocap: Human pose estimation under blanket occlusion for hospital monitoring applications. In: International Conference on Medical Image Computing and Computer\u2014Assisted Intervention, Springer, pp 491\u2013499"},{"issue":"3","key":"1259_CR2","doi-asserted-by":"publisher","first-page":"342","DOI":"10.1093\/sleep\/26.3.342","volume":"26","author":"S Ancoli-Israel","year":"2003","unstructured":"Ancoli-Israel S, Cole R, Alessi C, Chambers M, Moorcroft W, Pollak CP (2003) The role of actigraphy in the study of sleep and circadian rhythms. Sleep 26(3):342\u2013392","journal-title":"Sleep"},{"key":"1259_CR3","doi-asserted-by":"crossref","unstructured":"Baak A, M\u00fcller M, Bharaj G, Seidel HP, Theobalt C (2013) A data-driven approach for real-time full body pose reconstruction from a depth camera. In: Consumer Depth Cameras for Computer Vision, Springer, pp 71\u201398","DOI":"10.1007\/978-1-4471-4640-7_5"},{"key":"1259_CR4","doi-asserted-by":"crossref","unstructured":"Banerjee T, Enayati M, Keller JM, Skubic M, Popescu M, Rantz M (2014) Monitoring patients in hospital beds using unobtrusive depth sensors. In: 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE, pp 5904\u20135907","DOI":"10.1109\/EMBC.2014.6944972"},{"key":"1259_CR5","doi-asserted-by":"crossref","unstructured":"Belagiannis V, Rupprecht C, Carneiro G, Navab N (2015) Robust optimization for deep regression. In: IEEE Computer Society, Washington, DC, USA, pp 2830\u20132838","DOI":"10.1109\/ICCV.2015.324"},{"key":"1259_CR6","doi-asserted-by":"crossref","unstructured":"Fook VFS, Thang PV, Htwe QQ, Phyo AAP, Jayachandran BJ, Yap P (2007) Automated recognition of complex agitation behavior of demented patient using video camera. In: 9th International Conference on e-Health Networking, Application and Services","DOI":"10.1109\/HEALTH.2007.381605"},{"key":"1259_CR7","unstructured":"Glorot X, Bordes A, Bengio Y (2011) Deep sparse rectifier neural networks. In: Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, pp 315\u2013323"},{"key":"1259_CR8","doi-asserted-by":"crossref","unstructured":"Godfrey A, Conway R, Leonard M, Meagher D, OLaighin GM (2008) Motion analysis in delirium: A wavelet based approach for sub classification. In: 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE, pp 3574\u20133577","DOI":"10.1109\/IEMBS.2008.4649978"},{"issue":"2","key":"1259_CR9","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1016\/j.medengphy.2009.10.012","volume":"32","author":"A Godfrey","year":"2010","unstructured":"Godfrey A, Conway R, Leonard M, Dv Meagher, \u00d3laighin GM (2010) Motion analysis in delirium: a discrete approach in determining physical activity for the purpose of delirium motoric subtyping. Med Eng Phys 32(2):101\u2013110","journal-title":"Med Eng Phys"},{"key":"1259_CR10","unstructured":"Goodfellow I, Bengio Y, Courville A (2016) Deep learning. MIT press, iSBN: 9780262035613, Page: 226"},{"key":"1259_CR11","doi-asserted-by":"crossref","unstructured":"Heinrich A, Zhao X, de\u00a0Haan G (2013) Multi-distance motion vector clustering algorithm for video-based sleep analysis. In: e-Health Networking, Applications & Services (Healthcom), 2013 IEEE 15th International Conference on, IEEE, pp 223\u2013227","DOI":"10.1109\/HealthCom.2013.6720671"},{"issue":"3","key":"1259_CR12","doi-asserted-by":"publisher","first-page":"790","DOI":"10.1109\/JBHI.2013.2282829","volume":"18","author":"A Heinrich","year":"2014","unstructured":"Heinrich A, Geng D, Znamenskiy D, Vink JP, de Haan G (2014) Robust and sensitive video motion detection for sleep analysis. IEEE J Biomed Health Inf 18(3):790\u2013798","journal-title":"IEEE J Biomed Health Inf"},{"issue":"1","key":"1259_CR13","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1007\/s12652-014-0247-6","volume":"6","author":"A Heinrich","year":"2015","unstructured":"Heinrich A, van Heesch F, Puvvula B, Rocque M (2015) Video based actigraphy and breathing monitoring from the bedside table of shared beds. J Ambient Intell Human Comput 6(1):107\u2013120","journal-title":"J Ambient Intell Human Comput"},{"issue":"4","key":"1259_CR14","doi-asserted-by":"publisher","first-page":"272","DOI":"10.1080\/13554790701646233","volume":"13","author":"M Leonard","year":"2007","unstructured":"Leonard M, Godfrey A, Silberhorn M, Conroy M, Donnelly S, Meagher D, \u00d3laighin G (2007) Motion analysis in delirium: a novel method of clarifying motoric subtypes. Neurocase 13(4):272\u2013277","journal-title":"Neurocase"},{"key":"1259_CR15","unstructured":"Li Y, Berkowitz L, Noskin G, Mehrotra S (2014) Detection of patient\u2019s bed statuses in 3d using a microsoft kinect. In: Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE, IEEE, pp 5900\u20135903"},{"key":"1259_CR16","unstructured":"Nair V, Hinton GE (2010) Rectified linear units improve restricted boltzmann machines. In: Proceedings of the 27th international conference on machine learning (ICML-10), pp 807\u2013814"},{"key":"1259_CR17","doi-asserted-by":"crossref","unstructured":"Plagemann C, Ganapathi V, Koller D, Thrun S (2010) Real-time identification and localization of body parts from depth images. In: Robotics and Automation (ICRA), 2010 IEEE International Conference on, IEEE, pp 3108\u20133113","DOI":"10.1109\/ROBOT.2010.5509559"},{"key":"1259_CR18","unstructured":"Rocha J (2012) Skeltrack. \nhttps:\/\/github.com\/joaquimrocha\/Skeltrack"},{"issue":"1","key":"1259_CR19","doi-asserted-by":"publisher","first-page":"116","DOI":"10.1145\/2398356.2398381","volume":"56","author":"J Shotton","year":"2013","unstructured":"Shotton J, Sharp T, Kipman A, Fitzgibbon A, Finocchio M, Blake A, Cook M, Moore R (2013) Real-time human pose recognition in parts from single depth images. Commun ACM 56(1):116\u2013124","journal-title":"Commun ACM"},{"issue":"4","key":"1259_CR20","doi-asserted-by":"publisher","first-page":"427","DOI":"10.1016\/j.ipm.2009.03.002","volume":"45","author":"M Sokolova","year":"2009","unstructured":"Sokolova M, Lapalme G (2009) A systematic analysis of performance measures for classification tasks. Inf Process Manag 45(4):427\u2013437","journal-title":"Inf Process Manag"},{"issue":"1","key":"1259_CR21","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(1):1929\u20131958","journal-title":"J Mach Learn Res"},{"key":"1259_CR22","unstructured":"Yu MC, Wu H, Liou JL, Lee MS, Hung YP (2012) Multiparameter sleep monitoring using a depth camera. In: International Joint Conference on Biomedical Engineering Systems and Technologies, Springer, pp 311\u2013325"}],"container-title":["Journal of Ambient Intelligence and Humanized Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s12652-019-01259-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-019-01259-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-019-01259-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,30]],"date-time":"2020-05-30T17:09:29Z","timestamp":1590858569000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s12652-019-01259-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,2,28]]},"references-count":22,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2020,6]]}},"alternative-id":["1259"],"URL":"https:\/\/doi.org\/10.1007\/s12652-019-01259-5","relation":{},"ISSN":["1868-5137","1868-5145"],"issn-type":[{"value":"1868-5137","type":"print"},{"value":"1868-5145","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,2,28]]},"assertion":[{"value":"14 August 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 February 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 February 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}