{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T23:50:32Z","timestamp":1771631432108,"version":"3.50.1"},"reference-count":37,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Basic Scientific Research Operating Expenses of Heilongjiang Provincial Universities and Colleges","award":["2020-KYYWF-0307"],"award-info":[{"award-number":["2020-KYYWF-0307"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3079434","type":"journal-article","created":{"date-parts":[[2021,5,12]],"date-time":"2021-05-12T19:39:16Z","timestamp":1620848356000},"page":"73355-73364","source":"Crossref","is-referenced-by-count":21,"title":["Exploratory Data Analysis of Human Activity Recognition Based on Smart Phone"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8717-4884","authenticated-orcid":false,"given":"Weiheng","family":"Kong","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lili","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hailong","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.jaci.2019.11.042"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.2196\/16854"},{"key":"ref31","article-title":"Deep learning for human activity recognition","author":"li","year":"2020","journal-title":"Neurocomputing"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2017.2743990"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1111\/sms.13432"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-49073-1_39"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/s13369-016-2158-7"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1919048117"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3390\/s20082200"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1201\/b16098"},{"key":"ref12","first-page":"1729","article-title":"Feature learning for activity recognition in ubiquitous computing","author":"ploetz","year":"2011","journal-title":"Proc Intern Joint Conf Artificial Intel (IJCAI)"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2021.01.071"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.3003395"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1016\/j.procs.2018.10.298","article-title":"Sensor based human activity recognition using AdaBoost ensemble classifier","volume":"140","author":"subasi","year":"2018","journal-title":"Procedia Comput Sci"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.08.096"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"915","DOI":"10.1016\/j.asoc.2017.09.027","article-title":"Real-time human activity recognition from accelerometer data using convolutional neural networks","volume":"62","author":"ignatov","year":"2018","journal-title":"Appl Soft Comput"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.pmcj.2017.07.001"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1016\/j.jpdc.2017.05.007","article-title":"GCHAR: An efficient group-based context&#x2014;Aware human activity recognition on smartphone","volume":"118","author":"cao","year":"2018","journal-title":"J Parallel Distrib Comput"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmedinf.2020.104180"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/1964897.1964918"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2017.11.029"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/s150102059"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/s140610146"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.fsi.2020.04.035"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-12817-7_3"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICMA.2015.7237663"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/MeMeA.2015.7145250"},{"key":"ref2","first-page":"1295","article-title":"Energy efficient smartphone-based activity recognition using fixed-point arithmetic","volume":"19","author":"anguita","year":"2013","journal-title":"J Universal Comput Sci"},{"key":"ref9","first-page":"119","article-title":"A path computing scheme for low-latency requirement of medical big data task","volume":"54","author":"zhang","year":"2020","journal-title":"J Xi&#x2019;an Jiaotong Univ"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"288","DOI":"10.1108\/SR-11-2017-0245","article-title":"An overview of human activity recognition based on smartphone","volume":"39","author":"yuan","year":"2019","journal-title":"Sensor Rev"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.micpro.2016.10.007"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-014-0095-0"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s11277-017-4299-8"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.medengphy.2014.02.009"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s00779-012-0515-4"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1002\/aur.1595"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-819043-2.00005-8"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09429235.pdf?arnumber=9429235","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T17:27:38Z","timestamp":1643218058000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9429235\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3079434","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}