{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T04:40:42Z","timestamp":1791520842674,"version":"4.3.4"},"reference-count":34,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100000266","name":"EPSRC","doi-asserted-by":"publisher","award":["EP\/L014149\/1"],"award-info":[{"award-number":["EP\/L014149\/1"]}],"id":[{"id":"10.13039\/501100000266","id-type":"DOI","asserted-by":"publisher"}]},{"name":"EPSRC-NIHR HTC Partnership Award","award":["EP\/M000257\/1"],"award-info":[{"award-number":["EP\/M000257\/1"]}]},{"name":"EPSRC-NIHR HTC Partnership Award","award":["EP\/N027132\/1"],"award-info":[{"award-number":["EP\/N027132\/1"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2017,1]]},"DOI":"10.1109\/jbhi.2016.2633287","type":"journal-article","created":{"date-parts":[[2016,12,24]],"date-time":"2016-12-24T09:27:03Z","timestamp":1482571623000},"page":"56-64","source":"Crossref","is-referenced-by-count":388,"title":["A Deep Learning Approach to on-Node Sensor Data Analytics for Mobile or Wearable Devices"],"prefix":"10.1109","volume":"21","author":[{"given":"Daniele","family":"Ravi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Charence","family":"Wong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Benny","family":"Lo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guang-Zhong","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2004.840301"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/BSN.2015.7299410"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1249\/MSS.0b013e31821ece12"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-77690-1_2"},{"key":"ref34","article-title":"Torch: A modular machine learning software library","author":"collobert","year":"2002"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/882085.882086"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-6374-9"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TITB.2007.899496"},{"key":"ref13","first-page":"8","author":"angeles","year":"2016","journal-title":"A Wearable Automated System to Quantify Parkinsonian Symptoms Enabling Closed Loop Deep Brain Stimulation"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TITB.2009.2028575"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1183\/09031936.06.00064105"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3390\/s150204193"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ISSNIP.2007.4496903"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"2059","DOI":"10.3390\/s150102059","article-title":"A survey of online activity recognition using mobile phones","volume":"15","author":"shoaib","year":"2015","journal-title":"SENSORS"},{"key":"ref19","first-page":"1","article-title":"A review of emerging analytical techniques for objective physical activity measurement in humans","author":"clark","year":"2016","journal-title":"Sports Med"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/2003653.2003656"},{"key":"ref4","first-page":"3995","article-title":"Deep convolutional neural networks on multichannel time series for human activity recognition","author":"yang","year":"0","journal-title":"Proc 24th Int Conf Artif Intell"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/1964897.1964918"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.4108\/icst.mobicase.2014.257786"},{"key":"ref6","article-title":"Deep activity recognition models with triaxial accelerometers","author":"alsheikh","year":"2015"},{"key":"ref29","first-page":"98","article-title":"The impact of personalization on smartphone-based activity recognition","author":"weiss","year":"0","journal-title":"Proc AAAI Workshop on Activity Context Representation Techniques and Languages"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/SMC.2015.263"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/2499621"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.1999.790410"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/1107548.1107591"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/BSN.2016.7516235"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TITB.2009.2036165"},{"key":"ref22","first-page":"1","article-title":"Human activity recognition using quasiperiodic time series collected from a single tri-axial accelerometer","author":"ignatov","year":"2015","journal-title":"Multimedia Tools and Appl"},{"key":"ref21","first-page":"1","article-title":"Towards unsupervised physical activity recognition using smartphone accelerometers","author":"lu","year":"2016","journal-title":"Multimedia Tools and Appl"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"1018","DOI":"10.1016\/j.asoc.2015.01.025","article-title":"On the use of ensemble of classifiers for accelerometer-based activity recognition","volume":"37","author":"catal","year":"2015","journal-title":"Appl Soft Comput"},{"key":"ref23","first-page":"68","article-title":"A study of human activity recognition using AdaBoost classifiers on WISDM dataset","volume":"7","author":"walse","year":"2016","journal-title":"The Institute of Integrative Omics and Applied Biotechnology Journal"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/SURV.2012.110112.00192"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221020\/7839252\/07797232.pdf?arnumber=7797232","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T11:42:04Z","timestamp":1641987724000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7797232\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,1]]},"references-count":34,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2016.2633287","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"value":"2168-2194","type":"print"},{"value":"2168-2208","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,1]]}}}