{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T21:26:43Z","timestamp":1740173203703,"version":"3.37.3"},"reference-count":60,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"23","license":[{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001691","name":"Grants-in-Aid for Scientific Research (KAKENHI) from the Japan Society for the Promotion of Science","doi-asserted-by":"publisher","award":["20H04261","19H05730","19H04154"],"award-info":[{"award-number":["20H04261","19H05730","19H04154"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Internet Things J."],"published-print":{"date-parts":[[2021,12,1]]},"DOI":"10.1109\/jiot.2021.3075477","type":"journal-article","created":{"date-parts":[[2021,4,26]],"date-time":"2021-04-26T22:20:44Z","timestamp":1619475644000},"page":"17000-17013","source":"Crossref","is-referenced-by-count":0,"title":["Multistream Temporal Convolutional Network for Correct\/Incorrect Patient Transfer Action Detection Using Body Sensor Network"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1801-8095","authenticated-orcid":false,"given":"Zhihang","family":"Zhong","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chingszu","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Masako","family":"Kanai-Pak","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jukai","family":"Maeda","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yasuko","family":"Kitajima","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mitsuhiro","family":"Nakamura","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Noriaki","family":"Kuwahara","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Taiki","family":"Ogata","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4738-2275","authenticated-orcid":false,"given":"Jun","family":"Ota","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"journal-title":"WaveNet A Generative Model for Raw Audio","year":"2016","author":"van den oord","key":"ref39"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.137"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.proeng.2011.08.331"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2015.01.025"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CBD.2013.19"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2011.2160723"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/7316954"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3390\/s16010115"},{"key":"ref34","first-page":"970","article-title":"Comparing deep and classical machine learning methods for human activity recognition using wrist accelerometer","volume":"10","author":"gjoreski","year":"2016","journal-title":"Proc IJCAI Workshop Deep Learn Artif Intell"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.3390\/s20102905"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2015.2511805"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"1005","DOI":"10.3390\/s19051005","article-title":"A comprehensive survey of vision-based human action recognition methods","volume":"19","author":"zhang","year":"2019","journal-title":"SENSORS"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2018.2849655"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3041164.3041186"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.pmcj.2012.06.002"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3390\/s17112556"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2954387"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3377325.3377530"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.113"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.216"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2009.11.014"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00369"},{"key":"ref50","first-page":"315","article-title":"Deep sparse rectifier neural networks","author":"glorot","year":"2011","journal-title":"Proc 14th Int Conf Artif Intell Stat"},{"key":"ref51","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"},{"journal-title":"Adam A method for stochastic optimization","year":"2014","author":"kingma","key":"ref59"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.3390\/s16081161"},{"key":"ref57","first-page":"225","article-title":"Investigation of sensor placement for accurate fall detection","author":"ntanasis","year":"2016","journal-title":"Proc Int Conf Wireless Mobile Commun Healthcare"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1145\/3014812.3014875"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/SIITME.2014.6967028"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TBCAS.2011.2160540"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-24646-6_1"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2014.2377238"},{"journal-title":"Neural machine translation by jointly learning to align and translate","year":"2014","author":"bahdanau","key":"ref40"},{"key":"ref11","first-page":"3995","article-title":"Deep convolutional neural networks on multichannel time series for human activity recognition","volume":"15","author":"yang","year":"2015","journal-title":"Proc IJCAI"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1111\/inr.12473","article-title":"A nursing shortage—A prospect of global and local policies","volume":"66","author":"mar?","year":"2019","journal-title":"Int Nursing Rev"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.4103\/CRST.CRST_148_20"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1111\/jnu.12030"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TLT.2014.2331252"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1587\/transinf.E97.D.107"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/2733373.2806333"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2949715"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2016.2561962"},{"journal-title":"An end-to-end 3D convolutional neural network for action detection and segmentation in videos","year":"2017","author":"hou","key":"ref4"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1002\/rcs.1850"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2014.03.005"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247801"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-010-9571-3"},{"journal-title":"Multi-scale context aggregation by dilated convolutions","year":"2015","author":"yu","key":"ref49"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/SURV.2013.121313.00064"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2915989"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/S0020-7489(03)00083-X"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2648.2004.03089.x"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1080\/001401399185207"},{"key":"ref42","first-page":"3","article-title":"CBAM: Convolutional block attention module","author":"woo","year":"2018","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref41","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1080\/00140139208967377"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/S0003-6870(03)00003-6"}],"container-title":["IEEE Internet of Things Journal"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6488907\/9620058\/09415629.pdf?arnumber=9415629","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,2,28]],"date-time":"2022-02-28T21:36:27Z","timestamp":1646084187000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9415629\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,1]]},"references-count":60,"journal-issue":{"issue":"23"},"URL":"https:\/\/doi.org\/10.1109\/jiot.2021.3075477","relation":{},"ISSN":["2327-4662","2372-2541"],"issn-type":[{"type":"electronic","value":"2327-4662"},{"type":"electronic","value":"2372-2541"}],"subject":[],"published":{"date-parts":[[2021,12,1]]}}}