{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T11:36:49Z","timestamp":1782733009934,"version":"3.54.5"},"reference-count":59,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61673312"],"award-info":[{"award-number":["61673312"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012237","name":"Beijing Advanced Innovation Center for Intelligent Robots and Systems","doi-asserted-by":"crossref","award":["2016IRS19"],"award-info":[{"award-number":["2016IRS19"]}],"id":[{"id":"10.13039\/501100012237","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Fundamental Research Funds for the Central Universities, in part by the Research Fund for the Doctoral Program of Higher Education of China","award":["20100201120040"],"award-info":[{"award-number":["20100201120040"]}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["20110491662"],"award-info":[{"award-number":["20110491662"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2012T50805"],"award-info":[{"award-number":["2012T50805"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2019,1]]},"DOI":"10.1109\/jbhi.2018.2808281","type":"journal-article","created":{"date-parts":[[2018,2,20]],"date-time":"2018-02-20T19:14:20Z","timestamp":1519154060000},"page":"314-323","source":"Crossref","is-referenced-by-count":285,"title":["Deep Learning for Fall Detection: Three-Dimensional CNN Combined With LSTM on Video Kinematic Data"],"prefix":"10.1109","volume":"23","author":[{"given":"Na","family":"Lu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yidan","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Feng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinbo","family":"Song","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"0","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref38","first-page":"920","article-title":"On the depth of deep neural networks: A theoretical view","author":"sun","year":"0","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.59"},{"key":"ref32","doi-asserted-by":"crossref","DOI":"10.1155\/2017\/9474806","article-title":"Vision-based fall detection with convolutional neural networks","volume":"2017","author":"nunez-marcos","year":"2017","journal-title":"Wireless Commun Mobile Comput"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.50"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2293637"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.315"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.510"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2014.2303296"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.231"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1109\/MSP.2012.2205597","article-title":"Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups","volume":"29","author":"geoffrey","year":"2012","journal-title":"IEEE Signal Process Mag"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2011.09.037"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2015.04.060"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2008.07.006"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2004.1333768"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/IEMBS.2006.259594"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1126\/science.1127647","article-title":"Reducing the dimensionality of data with neural networks","volume":"313","author":"hinton","year":"2006","journal-title":"Science"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2437384"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref50","article-title":"Neural machine translation by jointly learning to align and translate","author":"bahdanau","year":"0","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref51","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"0","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126543"},{"key":"ref57","article-title":"UCF101: A dataset of 101 human actions classes from videos in the wild","author":"khurram","year":"2012","journal-title":"arXiv 1212 0402"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2014.09.005"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/SITIS.2012.155"},{"key":"ref54","article-title":"Multiple camera fall dataset","author":"auvinet","year":"2010"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.223"},{"key":"ref52","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"J Mach Learn Res"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2014.2328593"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TITB.2009.2033673"},{"key":"ref40","article-title":"Two-stream 3D convolutional neural network for skeleton-based action recognition","author":"hong","year":"2017","journal-title":"arXiv 1705 08106v2"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2007.916282"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICTTA.2006.1684511"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/IEMBS.2009.5334521"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.dcan.2015.12.001"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2012.2228262"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2014.06.045"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2008.07.006"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2008.2005606"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2011.2129370"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"23004","DOI":"10.3390\/s150923004","article-title":"New fast fall detection method based on spatio-temporal context tracking of head by using depth images","volume":"15","author":"yang","year":"2015","journal-title":"SENSORS"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1186\/1475-925X-12-66"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.cger.2010.06.002"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/2769493.2769540"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"12900","DOI":"10.3390\/s140712900","article-title":"Automatic fall monitoring: A review","volume":"14","author":"pannurat","year":"2014","journal-title":"SENSORS"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2599174"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2014.2312180"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref45","article-title":"Action recognition using visual attention","author":"sharma","year":"0","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/2733373.2806222"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2017.10.011"},{"key":"ref42","first-page":"3110","article-title":"Two-stream flow-guided convolutional attention networks for action recognition","author":"an","year":"2017","journal-title":"Proc IEEE Int Conf Comput Vis Workshop"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2712608"},{"key":"ref44","first-page":"2048","article-title":"Show, attend and tell: Neural image caption generation with visual attention","author":"xu","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref43","doi-asserted-by":"crossref","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","article-title":"Long short-term memory","volume":"9","author":"sepp","year":"1997","journal-title":"Neural Comput"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221020\/8602373\/08295206.pdf?arnumber=8295206","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T20:44:01Z","timestamp":1657745041000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8295206\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,1]]},"references-count":59,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2018.2808281","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"value":"2168-2194","type":"print"},{"value":"2168-2208","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,1]]}}}