{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T23:41:49Z","timestamp":1774568509808,"version":"3.50.1"},"reference-count":34,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2016]]},"DOI":"10.1109\/access.2016.2557846","type":"journal-article","created":{"date-parts":[[2016,4,22]],"date-time":"2016-04-22T18:24:21Z","timestamp":1461349461000},"page":"1810-1820","source":"Crossref","is-referenced-by-count":142,"title":["Learning Human Identity From Motion Patterns"],"prefix":"10.1109","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7050-2282","authenticated-orcid":false,"given":"Natalia","family":"Neverova","sequence":"first","affiliation":[]},{"given":"Christian","family":"Wolf","sequence":"additional","affiliation":[]},{"given":"Griffin","family":"Lacey","sequence":"additional","affiliation":[]},{"given":"Lex","family":"Fridman","sequence":"additional","affiliation":[]},{"given":"Deepak","family":"Chandra","sequence":"additional","affiliation":[]},{"given":"Brandon","family":"Barbello","sequence":"additional","affiliation":[]},{"given":"Graham","family":"Taylor","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/2668332.2668366"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/11748625_12"},{"key":"ref31","first-page":"1025","article-title":"Two distributed-state models for generating high-dimensional time series","volume":"12","author":"taylor","year":"2011","journal-title":"J Mach Learn Res"},{"key":"ref30","first-page":"2222","article-title":"Multimodal learning with deep Boltzmann machines","author":"srivastava","year":"2013","journal-title":"Proc NIPS"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.4108\/icst.mobicase.2014.257786"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298878"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2014.6854641"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s00779-010-0293-9"},{"key":"ref13","article-title":"Deep speech: Scaling up end-to-end speech recognition","author":"hannun","year":"2014"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref15","first-page":"543","article-title":"Combining modality specific deep neural networks for emotion recognition in video","author":"kahou","year":"2013","journal-title":"Proc ICMI"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.223"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2013.10.001"},{"key":"ref18","first-page":"1863","article-title":"A clockwork RNN","author":"koutnik","year":"2014","journal-title":"Proc 31st ICML"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-40728-4_48"},{"key":"ref28","first-page":"459","article-title":"ChaLearn looking at people challenge 2014: Dataset and results","author":"escalera","year":"2014","journal-title":"Proc ECC"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2015.7163112"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2015.7178838"},{"key":"ref3","first-page":"1","article-title":"Theano: A CPU and GPU math compiler in Python","author":"bergstra","year":"2010","journal-title":"Proc Python Sci Comput Conf"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/2500423.2504572"},{"key":"ref29","article-title":"HMOG: New behavioral biometric features for continuous authentication of smartphone users","author":"sitova","year":"2015"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.pmcj.2014.05.006"},{"key":"ref8","article-title":"Exploring ways to mitigate sensor-based smartphone fingerprinting","author":"das","year":"2015"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2499621"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1006\/dspr.1999.0360"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/IIHMSP.2010.83"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/2393347.2396517"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"902","DOI":"10.1302\/0301-620X.38B4.902","article-title":"The prehensile movements of the human hand","volume":"38 b","author":"napier","year":"1956","journal-title":"J Bone Joint Surgery"},{"key":"ref22","first-page":"1","article-title":"Multimodal deep learning","author":"ngiam","year":"2011","journal-title":"Proc 28th ICML"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2461544"},{"key":"ref24","author":"nilsson","year":"0","journal-title":"License CC-BY-SA"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ISSPIT.2011.6151574"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1006\/dspr.1999.0361"},{"key":"ref25","first-page":"1729","article-title":"Feature learning for activity recognition in ubiquitous computing","author":"pl\u00f6tz","year":"2011","journal-title":"Proc 22nd Int Joint Conf Artif Intell"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/7419931\/07458136.pdf?arnumber=7458136","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:26:52Z","timestamp":1642004812000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7458136\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/access.2016.2557846","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016]]}}}